KR20030011103A - System for monitoring health, wellness and fitness - Google Patents

Abstract

The detection, monitoring and reporting system includes a sensor device that, when positioned in close proximity to the human body, generates data indicative of at least one of an individual's activity, GSR, and heat flow, and data derived therefrom. The remote central monitoring unit generates analysis state data from this data and previously generated analysis state data. The data storage device stores the data received and generated by the central monitoring unit. The system includes means for establishing electronic communication between the sensor device and the central monitoring unit, and means for transmitting the data to the recipient. The sensor device also generates data indicative of contextual parameters for the individual, which can be used when generating analysis state data. The system can be used to monitor and provide feedback on the degree to which an individual has performed the proposed routine.

Description

SYSTEM FOR MONITORING HEALTH, HEALTH CARE AND FITNESS {SYSTEM FOR MONITORING HEALTH, WELLNESS AND FITNESS}

Research has shown that the best health problems in social life are caused by an unhealthy lifestyle, in whole or in part. Increasingly, our society often leads to poor eating habits, high stress levels, lack of exercise, poor sleep habits, and a fast and fulfilling lifestyle that results in a lack of time to concentrate and relax. In recognition of this fact, people are increasingly interested in a healthier lifestyle.

Conventional treatments, implemented in HMO form or similar configurations, do not have the time, training or reimbursement mechanisms to meet the needs of individuals interested in a healthier lifestyle. Attempts have been made to meet individual needs, including fitness programs and exercise equipment, dieting methods, self-training booklets, alternative therapists, and health information recently sanded out on websites on the Internet. This attempt focused on enabling individuals to be responsible and attain health. However, these attempts ignore the majority of the real barriers faced by most individuals when they want to embrace a healthier lifestyle based solely on the individual's desire to pursue a healthier lifestyle. These barriers allow individuals to find motivation, to plan to achieve a healthier lifestyle, to monitor progress, and to resolve problems immediately if they arise; The fact that existing programs relate only to certain types of healthier lifestyles and are not available as complete packages; And recommendations often include the fact that they are not aimed at the individual's life environment or personal characteristics.

The present invention relates to a system for monitoring health, wellness and fitness, in particular data relating to an individual's physiological state, lifestyle and various contextual parameters, using a sensor device. It relates to a system for collecting, storing and storing at a remote site, and also creating such data and analytical information based on such data, preferably available to an individual via an electronic network.

1 illustrates an embodiment of a system for monitoring physiological data and lifestyle via an electronic network in accordance with the present invention.

FIG. 2 is a block diagram illustrating an embodiment of the sensor device shown in FIG. 1.

FIG. 3 is a block diagram illustrating an embodiment of the central monitoring unit shown in FIG. 1.

4 is a block diagram showing another embodiment of the central monitoring unit shown in FIG.

5 illustrates a preferred embodiment of a health manager web page in accordance with an aspect of the present invention.

6 illustrates a preferred embodiment of a nutritional web page according to one aspect of the present invention.

7 illustrates a preferred embodiment of an activity level web page in accordance with an aspect of the present invention.

8 illustrates a preferred embodiment of a mental focus web page in accordance with an aspect of the present invention.

9 illustrates a preferred embodiment of a sleep web page in accordance with an aspect of the present invention.

10 illustrates a preferred embodiment of a daily activities web page in accordance with an aspect of the present invention.

11 illustrates a preferred embodiment of a health index web page in accordance with an aspect of the present invention.

12 is a front view of a particular embodiment of the sensor device shown in FIG. 1.

FIG. 13 is a rear view of a particular embodiment of the sensor device shown in FIG. 1. FIG.

14 is a side view of a particular embodiment of the sensor device shown in FIG. 1.

15 is a bottom view of a particular embodiment of the sensor device shown in FIG. 1.

16 and 17 are front perspective views of certain embodiments of the sensor device shown in FIG. 1.

18 is an exploded perspective view of a particular embodiment of the sensor device shown in FIG. 1.

19 is a side view of the sensor device shown in FIGS. 12-18, inserted in a battery charging unit.

FIG. 20 is a block diagram illustrating all components connected or mounted to a printed circuit board, forming part of the sensor device shown in FIGS. 12-18.

A system for recognizing, monitoring and reporting human physiological information is disclosed. The system includes a sensor device to be placed in contact with the upper arm of the individual. The sensor device includes at least one of an accelerometer, a GSR sensor, and a heat flow sensor and generates data indicative of at least one of an activity of an individual wearing the sensor device, a skin response to an electrical stimulus, and heat flow. The sensor device may also be configured to generate data derived from at least a portion of the data indicating at least one of activity, skin response to electrical stimulation, and heat flow. The sensor device may include a flexible wing body having a computer housing and first and second wings that wrap around a portion of an individual's arm. The sensor device may also allow the wearer to provide auditory, visual or tactile feedback.

The system also includes a central monitoring unit located remotely from the sensor device. The central monitoring unit generates analysis state data from at least one of data indicating at least one of activity, skin response to electrical stimulation, and heat flow, derived data and previously generated analysis state data. The central monitoring unit may also include a data storage device for retrievably storing the data that the central monitoring unit receives and generates. The disclosed system also includes means for enabling electronic communication between the sensor device and the central monitoring unit. And to transmit data indicative of at least one of activity, skin response to electrical stimulation, and heat flow, derived data, and / or analysis status data to a recipient, such as an individual or an authorized third party from that individual. Means are included in this system.

The central monitoring unit may be configured to generate one or more web pages that include data indicating at least one of activity, skin response to electrical stimulation, and heat flow, derived data, and / or analysis status data. The web page generated by the central monitoring unit can be accessed by the receiver via an electronic network such as the internet. Alternatively, data indicative of at least one of activity, skin response to electrical stimulation and heat flow, derived data and / or analysis status data may be delivered to the recipient in physical form, such as by mail or facsimile.

The system can obtain an individual's daily activity data and use this daily activity data to generate analysis status data. Moreover, the sensor device may generate data indicating one or more contextual parameters for the individual. The system may also use data indicative of one or more contextual parameters in generating analysis state data.

Also disclosed is a system for monitoring the extent to which an individual has followed the proposed procedure. The system includes a sensor device as described above. Also included are means for transmitting data generated by the sensor device from the sensor device to the central monitoring unit and means for transmitting an individual's daily activity data to the central monitoring unit. The central monitoring unit generates and provides feedback to the recipient regarding the degree to which the individual has followed the proposed procedure. The feedback is generated from a portion of at least one of data, derived data and daily activity data indicating at least one of activity, skin response to electrical stimulation and heat flow.

The proposed procedure includes a plurality of categories, and the feedback is generated and provided for each of the categories. Examples of categories include infant food intake, activity levels, mind centering, sleep and daily activities. The feedback is provided in graphical form and included in one or more web pages generated by the central monitoring unit. Alternatively, the feedback can be delivered to the recipient in physical form.

Generally, in accordance with the present invention, data relating to an individual's physiological state, lifestyle and certain contextual parameters are collected and transmitted sequentially or in real time from a person to a site remote from the individual, which data is then processed. Is stored for and presented to the recipient via an electronic network such as the Internet. As used herein, contextual parameters refer to parameters relating to an individual's environment, ambient conditions and location, including but not limited to air cleanliness, sound level, air temperature and location measurements. Referring to FIG. 1, a sensor device 10 located in proximity to at least a portion of the human body is located at a user location 5. The sensor device 10 is worn by an individual user, for example, as part of a garment, such as a foam type sheet, or as part of an arm band. Sensor device 10 includes one or more sensors and microprocessors that generate signals in response to an individual's physiological parameters. The term proximity in this specification means that the sensor of the sensor device 10 is separated from the body of the individual by a certain material or the like so that the performance of the sensor is not disturbed.

The sensor device 10 may include personal heart rate, pulse rate, heart rate variability, EKG or ECG, respiratory rate, skin temperature, human core temperature, human radiant heat, skin spasm response or GSR, EMG, EEG, EOG, blood pressure, body fat, Generate data indicating various physiological parameters for the individual, such as hydration level, activity level, oxygen consumption, glucose or blood glucose level, body posture, pressure on muscle or bone, and UV radiation absorption. In some cases, data indicative of various physiological parameters is a signal or a signal generated by one or more sensors and in some cases the data is calculated by the microprocessor based on the signal generated by one or more sensors. Methods for generating data indicating various physiological parameters and sensors to be used are known. Table 1 provides several examples of known methods and shows the corresponding parameters, the methods used, the sensor devices used and the signals generated. Table 1 also provides an indication as to whether further processing based on the generated data needed to generate the data is needed.

parameter Way sensor signal Further processing Heart rate EKG 2 electrodes DC voltage Yes Pulse rate BVP LED emitters and optical sensors Resistance change Yes Heart rate variability Heart rate 2 electrodes DC voltage Yes EKG Skin surface potential 3-10 electrodes DC voltage no Respiratory rate Chest size change Strain gauge DC voltage Yes Skin temperature Surface temperature navigation Thermistor DC voltage Yes Core temperature Esophagus or rectum navigation Thermistor DC voltage Yes Heat flow Heat flux Thermopile DC voltage Yes Skin Response to Electrical Stimulation Skin conductance 2 electrodes Resistance change no EMG Skin surface potential 3 electrodes DC voltage no EEG Skin surface potential A plurality of electrodes DC voltage Yes EOG Pupil movement Thin Film Piezoelectric Sensors DC voltage Yes Blood pressure Non-Invasive Korotkup Sound Electronic spigroromameter Resistance change Yes Body fat Body impedance 2 active electrodes Impedance change Yes Activity per interpreted G shock per minute Body movement Accelerometer DC voltage, capacitance change Yes Oxygen consumption Oxygen suction Electro-chemical DC voltage change Yes Glucose levels Non-invasive Electro-chemical DC voltage change Yes Body posture (e.g., lying down, upright, not) N / A Mercury switch array DC voltage change Yes Muscle pressure N / A Thinning piezoelectric resistance DC voltage change Yes UV radiation absorption N / A UV photosensitive cell DC voltage change Yes

The type of data included in Table 1 represents an example of the type of data that may be generated by the sensor device 10. It should be understood that other types of data related to other parameters may be generated by the sensor device 10 without departing from the scope of the present invention.

The microprocessor of the sensor device 10 can be programmed to summarize and analyze the data. For example, the microprocessor may be programmed to calculate the average, minimum or maximum heart rate or respiratory rate for a predetermined time, such as 10 minutes. The sensor device 10 may derive information about the physiological state of the individual based on data indicating one or more physiological parameters. The microprocessor of the sensor device 10 may be programmed to derive such information using known methods based on data indicative of one or more physiological parameters. Table 2 provides the types of information that can be derived and shows some of the types of data that can be used for them.

Derived information Data used ovulation Skin temperature, core temperature, oxygen consumption Sleep Start / Wake Up Heart Rate Variability, Heart Rate, Pulse Rate, Respiratory Rate, Skin Temperature, Core Temperature, Heat Flow, Skin Response to Global Stimulation, EMG, EEG, EOG, Blood Pressure, Oxygen Consumption Burned calories Heart rate, pulse rate, respiratory rate, heat flow, activity, oxygen consumption Basal metabolic rate Heart rate, pulse rate, respiratory rate, heat flow, activity, oxygen consumption Base temperature Skin temperature, core temperature Activity level Heart rate, pulse rate, respiratory rate, heat flow, activity, oxygen consumption Stress level EKG, heart rate variability, heart rate, pulse rate, respiratory rate, skin temperature, heat flow, skin response to global stimulation, EMG, EEG, EOG, blood pressure, activity, oxygen consumption Relaxation level EKG, heart rate variability, heart rate, pulse rate, respiratory rate, skin temperature, heat flow, skin response to global stimulation, EMG, EEG, EOG, blood pressure, activity, oxygen consumption Oxygen consumption rate EKG, heart rate, pulse rate, respiration rate, heat flow, blood pressure, activity, oxygen consumption The time or climb time from ascent to the 85% maximum target Heart rate, pulse rate, respiration rate, heat flow, oxygen consumption The time when your heart rate was at least 85% of your maximum target or during that interval Heart rate, pulse rate, respiration rate, heat flow, oxygen consumption The time or return time it took for the heart rate to return to rest after the heart rate was more than 85% of the maximum target. Heart rate, pulse rate, respiration rate, heat flow, oxygen consumption

In addition, sensor device 10 may generate data indicative of various contextual parameters relating to an individual's surroundings. For example, the sensor device 10 may generate data indicating air cleanliness, sound level / quality, optical characteristics or ambient temperature near the individual, or location measurement of the individual. Sensor device 10 includes one or more sensors for generating signals in response to contextual characteristics relating to an individual's surroundings, which signals are ultimately used to generate the type of data as described above. Such sensors are known as well as methods for generating contextual parameter data, such as air cleanliness, sound level / quality, optical properties or ambient temperature near an individual, or individual location.

2 is a block diagram illustrating an example of a sensor device 10. The sensor device 10 includes at least one sensor 12 and a microprocessor 20. Depending on the nature of the signal generated by the sensor 12, the signal is passed through one or more amplifiers 14, regulating circuits 16, analog-to-digital converters 18 before being sent to the microprocessor 20. Can be sent. By way of example, sensor 12 requires an amplification and filtering and generates an analog signal that can be sent to amplifier 16 and then sent to regulating circuit 16, which can be a band pass filter. The amplified and modulated analog signal can be sent to an analog-to-digital converter 18, where the signal is converted into a digital signal. The digital signal is then sent to the microprocessor 20. Alternatively, if sensor 12 generates a digital signal, this signal may be sent directly to microprocessor 20.

Digital signals representing certain physiological and / or situational characteristics of the individual user may be used by the microprocessor 20 to calculate or generate data indicative of certain physiological and / or contextual parameters of the individual user. . The microprocessor 20 may be programmed to derive information regarding at least one example of the physiological state of the individual. It should be appreciated that the microprocessor 20 may include other types of processors or processing devices, such as microcontrollers, or any other device that may be programmed to perform the functions described herein.

According to one embodiment of the invention, data indicative of physiological and / or contextual parameters is stored in a memory 22, such as a flash memory, in which the data is stored until uploaded in a manner as described below. Can be stored. Although memory 22 is shown in FIG. 2 as a separate component, it should be understood that it may be part of microprocessor 20. Sensor device 10 includes input / output circuitry 24, adapted to output and receive as data signals are input in a manner as described below. Thus, the memory 22 of the sensor device 10 stores and enriches data regarding the body and / or environment of the individual user. This data is periodically uploaded from the sensor device 10 and sent to a remote central monitoring unit 30 as shown in FIG. 1, and the data is provided to subsequent processing and users, via a local or wide area electronic communication network such as the Internet. To be stored in the database. Such uploading of data may be an automatic process initiated by the sensor device 10 periodically, or upon generation of an event such as detection by the sensor device 10, such as when the heart rate is below a certain level, or an individual user or It may be initiated according to a regular periodic schedule, such as 10 pm daily, by a third party authorized by an individual user. Alternatively, rather than storing data in memory 22, sensor device 10 uploads the data in real time continuously.

Uploading data from the sensor device 10 to the central monitoring unit 30 for storage can be accomplished in a variety of ways. In one embodiment, the data collected by the sensor device 10 is first transmitted by the physical connection 40, which may be a serial connection such as an RS232 or USB port, to the personal computer 35 shown in FIG. Thereby uploading. This physical connection can be accomplished with the use of an unshown cradle electronically coupled to a computer into which the sensor device 10 can be inserted, as is common with many commercially available personal handheld terminal devices. Uploading of data may be initiated by pressing a button on the cradle or may be initiated automatically upon insertion of the sensor device 10. The data collected by the sensor device 10 is uploaded by transmitting the data to the personal computer 35 in a short range wireless transmission, such as infrared or wireless transmission, as indicated by reference numeral 45.

Once the data is received by the personal computer 35, the data is optionally compressed and encrypted in a variety of known ways and then transmitted to the central monitoring unit 30 via a local or wide area electronic network, preferably the Internet. The personal computer 35 is operated by Palm VII, Research in Motion, Inc., sold by Palm, Inc., which is any computing device capable of accessing, transmitting and receiving data over an electronic network. It should be noted that it can be replaced with a personal handheld device such as the Blackberry 2-way pager sold.

Alternatively, the data collected by the sensor device 10, collected and optionally compressed by the microprocessor 20, may be sent to a local telco site using email or wireless protocols such as ASCII or binary data. It may be sent to a wireless device 50, such as a two-way pager or a cellular phone for long range wireless transmission. The local telco site 55 includes a computer 65 connected to the tower 60 and a tower 60 that receives wireless transmissions from the wireless device 50. According to a preferred embodiment, the computer 65 can access an associated electronic network, such as the Internet, and is used to transmit data received in the form of a wireless transmission to the central monitoring unit 30 via the Internet. Although the wireless device 50 is shown in FIG. 1 as a separate device connected to the sensor device 10, this device or a device having the same or similar function may be embedded as part of the sensor device 10.

The sensor device 10 is provided with buttons used for time stamp events to keep certain time events such as time to sleep, time to wake up or time to eat. These time stamps are stored in the sensor device 10 and uploaded to the central monitoring unit 30 along with the rest of the data described above. The time stamp includes a digitally recorded voice message that is uploaded to the central monitoring unit 30 and then converted to text or some other information format that can be used by the central monitoring unit 30 using voice recognition technology.

In addition to using the sensor device 10 to automatically collect physiological data about an individual user, the kiosk may, for example, lift the weight of the individual and place the sensor device 10 on which the individual places a portion of his hand or other body. The data can be collected by providing a sensing device similar to) or by examining an individual's body using laser technology or an iStat blood analyzer. The kiosk is equipped with the processing functions as described and can have access to the relevant electronic network, thus transmitting the collected data to the central monitoring unit 30 via the electronic network. Also provided is a desktop sensing device similar to sensor device 10 in which an individual places a portion of his hand or other body. As an example such a desktop sensing device can be a blood pressure monitor on which an individual places his or her arm. The individual can also wear a ring with a sensor device 10 integrated therein. An unshown base is provided that can be coupled to the ring. The desktop sensing device or base may be connected to a computer such as a personal computer 35 by physical or short-range wireless connection such that the collected data can be uploaded to the central monitoring unit 30 via the electronic network in the manner described above. . Mobile devices, such as personal digital assistants, may also be equipped with a sensor device 10 integrated therein. Such a sensor device 10 collects data when a mobile device is placed in close proximity to an individual's body by holding a device in his palm and uploads the collected data to the central monitoring unit 30 in any manner described above. can do.

Moreover, in addition to collecting data by automatically sensing the data in any of the ways described above, an individual may manually provide data regarding various daily activities that are ultimately transmitted and stored to the central monitoring unit 30. An individual user can access a website maintained by the central monitoring unit 30, respond to questions posted on the website, or click through a dialog provided by the website to freely enter text to enter daily activities. You can enter the information directly. The central monitoring unit 30 periodically sends an e-mail message to the personal computer 35 containing a question designed to extract information about daily activities, or receives an e-mail such as a personal digital assistant, pager or cellular phone. To other devices capable of doing so. The individual may provide data regarding the daily activities to the central monitoring unit 30 by responding to the appropriate e-mail message with the relevant data. The central monitoring unit 30 may also make a phone call to an individual user whose schedule questions may be posted to the individual user. The individual user can answer the question by voice or by entering information using the telephone keypad, in which case conventional speech recognition technology is used by the central monitoring unit 30 to receive and process the response. The telephone call can be initiated by the user, in which case the user can either speak directly to the other party or enter information using a keypad or voice / voice recognition technology. The central monitoring unit 30 has access to a source of information controlled by the user, such as a user's electronic calendar with an Outlook product sold by Microsoft Corporation of Redmond, Washington, where information can be automatically collected. can do. Data related to daily activities may relate to an individual's food intake, sleep, exercise, mind centering or rest, and / or daily habits, patterns, and / or activities. So, the sample question is, what did you have for lunch today? What time did you go to bed last night? What time did you get up this morning? How many hours did you run in the tresmill today?

Feedback is provided directly to the user through the sensor device 10 in visual form via an LED or LCD, or in the form of a tactile feedback such as an acoustic signal or vibration by at least partially fabricating the sensor device 10 from thermochromic plastic. Can be provided directly to the user. Such feedback may be a reminder or warning signal in eating food, taking drugs such as vitamins, participating in activities such as exercise or meditation, or when dehydration is detected. In addition, a dunning or warning signal may be generated when certain physiological parameters, such as ovulation, are detected, when a certain level for calories burned is reached, or when a high heart rate or respiratory rate is encountered.

As will be appreciated by those skilled in the art, it is possible to "download" data from the central monitoring unit 30 to the sensor device 10. The flow of data in this download process is almost the opposite of that described above for uploading data from the sensor device 10. Thus, the firmware of the microprocessor 20 of the sensor device 10 may be remotely updated or alerted, i.e., from the central monitoring unit 30 for parameters such as the timing and sampling rate of the sensor device 10. By downloading new firmware at 10, the microprocessor can be reprogrammed. In addition, the attention / warning signal provided by the sensor device 10 may be set by the user and subsequently downloaded to the sensor device 10 using a website maintained by the central monitoring unit 30.

Referring to FIG. 3, a block diagram of an embodiment of a central monitoring unit 30 is shown. The central monitoring unit 30 takes a traffic or data request whose main function is input and output and sends this traffic or data request for processing or viewing on the e-site maintained by the central monitoring unit 30. 75) connected to the CSU / DSU 70. The firewall 80 is connected to the router 75. The main purpose of the firewall 80 is to protect the rest of the central monitoring unit 30 from unauthorized or malicious intrusion. The switch 85 connected to the firewall 80 is used to allow data flow to be sent between the middleware servers 95a to 95c and the data server 110. The load balancer 90 is provided to distribute the burden of incoming requests for the middleware servers 95a to 95c which are configured identically. A suitable example of a load balancer 90 is the F5 ServerIron product sold by Foundry Networks, Inc. of San Jose, CA, and the availability of middleware servers 95a to 95c and middleware to properly distribute tasks among them. The amount of system resources used for each of the servers 95a through 95c is analyzed.

The central monitoring unit 30 includes a network storage device 100, such as a SAN or network storage area, that serves as a central repository for data. In particular, network storage device 100 includes a database that stores all the data collected for each individual user in the manner described above. An example of a suitable network storage device 100 is a Symmetrix product sold by EMC Corporation of Hopkinton, Massachusetts. Although only one network storage device 100 is shown in FIG. 3, a plurality of network storage devices of various capacities may be used according to the data storage needs of the central monitoring unit 30. The central monitoring unit 30 also includes a database server 110 connected to the network storage device 100. Database server 110 is a high-capacity multiprocessor server and an enterprise type software server that is an 8 / 8i component sold by Oracle Corporation, Redwood City, CA, or 506 7 component sold by Microsoft Corporation, Redmond, Washington. It consists of two main components. The primary function of the database server 110 is to provide on-demand access to data stored in the network storage device 100 and to store new data in the network storage device 100. The controller 115 connected to the network storage device 100 typically includes a desktop computer to manage data stored on the network storage device 100.

Middleware servers 95a to 95c, such as the 22OR Dual Processor sold by Sun Microsystems, Pilo Alto, Calif., May each be a corporate or home web page or web page of a website maintained by the central monitoring unit 30. Software for creating and maintaining them. As is known in the art, a web page refers to a block of data available on the world-wide web that includes a file written in HTML, and a web site is generally any web on the Internet running in a world-wide web server process. It's a computer. A corporate or home web page or web page is a starting or landing page that can be accessed by everyone who visits the site using the appropriate URL. As is known in the art, URLs provide a standard way of describing the location of objects, which are in the form of addresses used on the world-wide web and are typically web pages on the Internet. The middleware servers 95a to 95c each include software for creating and maintaining web pages of the web site of the central monitoring unit 30 which can only be accessed by an individual registered and a member of the central monitoring unit 30. . The member users are those who want to get the data stored in the central monitoring unit 30. Access by such member users is controlled by the use of passwords for security purposes. Preferred examples of such web pages are described below and are generated using the collected data stored in network storage device 100.

Middleware servers 95a through 95c also include software for requesting data from or writing data to network storage device 100 via database server 110. An individual user initiates a session with the central monitoring unit 30 to enter data into a database of the network storage device 100, to view personal user data stored in the database of the network storage device 100, or for both. If desired, the user visits the web page of the central monitoring unit 30 using a browser program, such as the Internet It Explorer, distributed by Microsoft, Redmond, Washington. The load balancer 90 assigns one of the middleware servers 95a to 95c, identified as the selected middleware server. The user is preferably assigned a selected middleware server for each full session. The selected middleware server authenticates the user using one of a number of known methods so that only a true user can be allowed to access the information in the database. Member users can also authorize third parties, such as health care providers or personal trainers, to access their data. Each authorized third party is assigned a separate password and can view the member user's data using a conventional browser. Thus, users and third parties can be recipients of data.

Once the user is authenticated, the selected middleware server requests data of the individual user of the network storage device 100 through the database server 110 for a predetermined time. The predetermined time is preferably 30 days. The requested data received from the network storage device 100 is temporarily stored in the cache memory by the selected middleware server. The data temporarily stored in the cache memory is used by the selected middleware server as a basis for presenting the information back to the user through the user's browser in the form of a web page. Each of the middleware servers 95a through 95c has software for manipulating and performing calculations that use the data to present the data to the user in an appropriate form, and appropriate software for generating web pages. When the user finishes his session, the data is discarded from the cache. When a user starts a new session, the process for acquiring and storing data for the user as described above is stored in the cache. This caching system requires only one call to be made to network storage device 100 per session, reducing the traffic that database server 110 must handle. If a request from a user during a particular session requires data other than data that has been cached for a certain time already retrieved, a separate call to network storage device 100 may be performed by the selected middleware server. However, the predetermined time must be chosen so that additional calls are minimized. Cached data can also be stored in cache memory so that it can be reused when a user starts a new session, thus eliminating the need to initiate a new call to network storage device 100.

As described in conjunction with Table 2, the microprocessor of the sensor device 10 may be programmed to derive information about the physiological state of the individual based on data indicative of one or more one or more physiological parameters. The central monitoring unit 30, and the middleware servers 95a-95c may likewise be programmed to derive such information based on data indicative of one or more one or more physiological parameters.

It may also be contemplated that the user enters additional information during the session, for example information about the user's eating or sleeping habits. This additional data is stored by the selected middleware server in the cache for the duration of the user's session. When the user ends the session, the additional data stored in the cache is sent to the database server 110 by the selected middleware server for input to the network storage device 100. Alternatively, in addition to being stored in the cache for potential use during the session, the input data can be directly entered into the network storage device 100 for input into the network storage device 100, such as in a known write-through cache system. ) May be sent.

Data collected by the sensor device 10 shown in FIG. 1 may be uploaded periodically to the central monitoring unit 30. By long distance wireless transmission or by personal computer, the connection to the central monitoring unit 30 is achieved by an electronic network such as the Internet. In particular, the connection to the load balancer 90 is made through the CSU / DSU 70, the router 75, the firewall 80, and the switch 85. The load balancer 90 then selects one of the middleware servers 95a through 95c to process the upload of data, referred to as the middleware server selected below. The selected middleware server authenticates the user using any known method. If the authentication is correct, the data is uploaded to the selected middleware server described above and ultimately sent to the database server 110 for input to the network storage device 100.

Referring to FIG. 4, another embodiment of a central monitoring unit 30 is shown. In addition to the components shown and described in connection with FIG. 3, the central monitoring unit 30 shown in FIG. 4 includes a mirror network storage device 120 that is a redundant backup device of the network storage device 100. The controller 122 is connected to the mirror network storage device 100. Data from network storage device 100 is periodically copied to mirror network storage device 120 for data redundancy.

A third party, such as an insurance company or research institution, is given access to certain information stored on mirror network storage device 120, which may be paid. Preferably, in order to maintain the confidentiality of the individual user providing the data to the central monitoring unit 30, the third party is not given access to the individual user, but only mirrored storage in aggregated form. Access to data stored in device 120 may be granted. The third party can access the information stored in the mirror network storage device 120 over the Internet using a conventional browser program. Requests from third parties may come through the CSU / DSU 70, the router 75, the firewall 80, and the switch 85. In the embodiment shown in FIG. 4, a separate load balancer 130 is provided for distributing tasks related to accessing and presenting data from the mirror drive array 120 among identically configured middleware servers 135a to 135c. do. The middleware servers 135a to 135c each include software for allowing third parties to express in a form using a browser a query about information from the mirror network storage device 120 via a separate database server 125. do. The middleware servers 135a-135c also include software for presenting information obtained from the mirror network storage device 120 to a third party in the form of a web page via the Internet. In addition, third parties may select from a series of written reports with information packaged by subject, such as various population categories. D

As will be apparent to those skilled in the art, instead of granting a third party access to backup data stored on the mirror network storage device 120, the third party has access to data stored on the network storage device 10. Can be granted. Instead of providing load balancer 130 and middleware servers 135a through 135c, the same functionality may be provided by load balancer 130 and middleware servers 135a through 135c even if a certain level of performance is achieved.

If an individual user becomes a registered user or member, that user completes a detailed investigation. The purpose of this survey is to identify unique characteristics / environments for each user that need to be processed to maximize the likelihood that each user will implement and maintain the health lifestyle proposed by the central monitoring unit 30. and; Obtain reference data to be used to initialize individual users and facilitate the calculation and display of constant graphical data output, such as a Health Index piston; Identify unique user characteristics and environments that assist the central monitoring unit 30 to tailor the type of content presented to the user at the daily dose of Health Manager; It also aims to identify the unique user characteristics and circumstances that a health manager can guide the user to address possible barriers to the health lifestyle through the health manager's problem solving capabilities.

Specific information to be investigated includes key individual substrate characteristics including activity level, meal regularity, sleep, bowel habits, and early half of the situation, including acceptability, patience, threshold of reaction, reaction intensity, and mood level; Independent functional level of the user, such as self-organization and management, social activity, memory, and sexual achievements; User's ability to concentrate and maintain attention, including arousal level, cognitive tempo, distraction coping ability, insomnia and self-discipline; The user's current, including current body weight, height and blood pressure, recent medical visits, gynecological care, and other applicable medical / health center visits, current medications and supplements, allergy and current symptoms and / or health-related behaviors nick; Social stress events such as illness / surgery, past medical history of the user such as family history, and unemployment or divorce requiring adaptation by an individual; Users' beliefs, values and opinions about health priorities, their ability to change their behavior, and their contribution to stress and their stress to relieve stress in their lives; The user's current routine to complete self-awareness, empathy and empowerment and self-esteem, and activities of eating, sleeping, exercising, resting and daily living; And user perceptions of the temperamental characteristics of two key people in their lives, such as their spouses, friends or colleagues, and their relationships with them that may contribute to stress or interfere with healthy lifestyles. Includes whether or not to do so.

Each member user can access a series of web pages customized for the user, referred to as a health manager, through the home web page of the central monitoring unit 30. A start health manager web page 150 is shown in FIG. The Health Manager Web page is the main workspace for member users. The health manager web page may include data indicating various physiological parameters generated by the sensor device 10; Data derived from data indicating various physiological parameters; Data indicative of various contextual data generated by the sensor device 10; And a utility that allows the central monitoring unit 30 to provide the user with various types and types of data, referred to as analysis status data, generated from the data, which collect and generate one or more of the data entered by the user It includes. The analysis state data may include data indicating various physiological parameters generated by the sensor device 10, data derived from data indicating various physiological parameters; Data indicative of various contextual data generated by the sensor device 10; And the application of certain utilities or algorithms to convert one or more of the data entered into the health, healthcare and lifestyle indicators calculated by the user. For example, it may be calculated based on data entered by the user, such as calories and amounts of food, protein, fat, carbohydrates, and certain vitamins the user eats. As another example, skin temperature, heart rate, respiratory rate, heat flow, and / or GSR can provide an indicator of the user's level of stress over time. As another example, skin temperature, heat flow heart rate variability, heart rate, pulse rate, respiratory rate, visceral temperature, electrical skin half are detected by devices such as EMG, EEG, EGO, blood pressure, oxygen consumption, atmospheric noise and accelerators. Body movements and movements can be used to provide an indicator of a user's sleep pattern over a period of time.

The health index 155 is located on the start health manager web page 150. Health index 155 is a utility used to measure and provide feedback on the performance of member users and the extent to which member users are used to measure and provide success in reaching a healthy routine suggested by central monitoring unit 30. to be. Health index 155 provides instructions for member users to track their progress. Health index 155 includes six categories of health and lifestyles of the user, such as nutritional intake, activity level, mental concentration, sleep, daily activities and mood levels. The nutrition category is about what, when and how you ate and drank. The activity level category is about how much you have moved. The mental focus category relates to the amount and quality of time spent participating in some activities that allow the body to achieve a great relaxation state with high concentration and attention to the mind. Sleep categories relate to the amount and quality of sleep. Everyday activity categories relate to the responsibilities and health risks of everyday life. Feeling good category refers to how good you feel on a particular day. Each category has a piston or associated level indicator that indicates the extent to which the user performs for the category, ranging from poor to very good.

When each member user completes the initial examination described above, a profile is created that provides the user with a summary of his or her associated characteristics and life environment. Plans and / or goals are provided in the form of suggested health routines. Suggested health routines may include appropriate nutrition, exercise, mental concentration, sleep and selected activities related to daily life in the user's life. A typical schedule can be provided as a guide to how the proposed activities can be integrated into the user's life. The user re-examines the survey, and based on the results, the above items are readjusted.

The nutritional intake category is calculated from the data entered by the user and the data sensed by the sensor device 10. Data entered by the user includes the time and time taken for breakfast, lunch and dinner, snacks and foods eaten, supplements such as vitamins ingested, water consumed for a given time and other fluids. Based on these data and the data stored about the late-night characteristics of the various foods, the central monitoring unit 30 calculates known nutritious food values such as calories and amounts of consumed protein, fat, carbohydrates and certain vitamins.

Nutritional Health Index piston, eat at least three meals; 6-11 bowls of bread, pasta, cereals and rice, 2-4 bowls of fruit, 3-5 bowls of vegetables, 2-4 bowls of fish, meat, poultry, dry beans, eggs, and nuts, milk, yogurt and Eat a variety of diets, 2-3 bowls of cheese; Drinking water of 8 or 8 ounces or more of glass is determined in relation to the proposed health routine. This routine is adjusted based on information about the user's gender, age, height and / or weight. The constant nutrition goal may be set by the user or set for the user for daily calories, protein, fiber, fat, carbohydrates, and / or water consumption and percentage of total consumption. The parameters used to calculate the relevant piston level include the number of daily meals entered by the user and the number of cups of water drank.

The nutrition intake information is presented to the user through the nutrition intake web page 160 as shown in FIG. 6. The nutrition intake web page 160 includes nutrition intake fact charts 165 and 170, each illustrating actual and target nutrition intake facts, such as a pie chart, and a total actual nutrition intake and target nutrition intake, respectively, such as a pie chart. And nutritional intake charts 175 and 180 that illustrate. Nutrient Intake Charts (165 and 170) show percent breakdown of protein, fat, carbohydrates and items, and Nutrient Intake Charts (175 and 180) show destruction of components such as total and target proteins, fiber, fat, carbohydrates and vitamins. Show the percentage. Web page 160 includes a food and water consumption tracker 185 with time entries, a hyperlink 190 for direct access to nutrition-related new items and articles, and a view with variable and selectable time periods. A calendar 190 for selection. The item shown at 190 can be selected and customized based on its performance measured by the health index and based on information learned about the individual in the survey.

The activity level of the health index 150 is designed to assist the user in monitoring how and when the user has moved throughout the day and to utilize all data input by the user and sensed by the sensor device 10. The data entered by the user includes details about daily activities such as, for example, the fact that the user worked from 8:00 am to 5:00 pm and was aerobic from 6 pm to 7:00 pm. Relevant data sensed by the sensor device 10 is guided by the sensor device 60 or the central monitoring unit 30 and includes heat flow, respiratory rate, burned calories, GSR and Sign language level, heart rate, and movement. Burned calories are the product of the type of exercise entered by the user and the duration of exercise entered by the user; Detected motion multiplied by workout time multiplied by filter constant; Or the sensed heat flux multiplied by the motion time multiplied by the filter constant.

Activity Level Health Index The piston level may be used for aerobic exercise during a predetermined period of time, preferably 20 minutes, or for engaging in intense lifestyle activities, preferably for an hour period of one hour, and aerobic and lifestyle activities. Is preferably determined in connection with the proposed healthy routine, including burning the minimum target calorie, which is preferably 205 calories. The minimum target calorie is set according to information about the user's gender, age, height and / or weight. The parameters used in the calculation of the associated piston level are the time spent participating in aerobic exercise or participating in the intense lifestyle activities detected by the user and / or sensed by the sensor device 10 and the precalculated energy expenditure parameters. It includes calories burned. Information about an individual user's workout is presented to the user through an activity level web page 200 as shown in FIG. 7, which provides the individual user with one of three categories of high, medium, and low intensity for a preselected time unit. For monitoring, it may include an activity graph 205 in the form of a bar graph. An activity percentage chart 210 in the form of a pie chart is provided to show the percentage of preselected time periods, such as a day spent by the user in each category. Activity level web page 200 also includes a calorie section 215 for displaying items such as burned total calories, burned daily target calories, intake total calories, and aerobic activity duration. Finally, activity level web page 200 includes at least one hyperlink 220 that allows a user to directly access new items and articles related to them, and suggestions for organizing and improving their daily activities. Affiliate with ads on the web. Activity level web page 200 may be shown in a variety of formats and may include user-selectable graphs and charts, such as bar graphs or pie charts, or both, selectable by activity level check box 225. . Activity level calendar 230 may be selected and customized based on their performance as measured by the health index and based on information learned about the individual in the survey.

The mental concentration category 155 of the health index is designed to help the user monitor parameters related to the time spent participating in certain activities that allow the body to achieve a deep rest state while the mind is concentrated. And based on data input by the user and / or sensed by the sensor device 10. In particular, the user may enter the start and end times of a relaxation activity such as yoga or meditation. The quality of these activities, determined by the depth of mental concentration events, can be measured by monitoring parameters including skin temperature, heart rate, respiration rate and heat flow sensed by the sensor device 10. Percent change in GSR as induced by sensor device 10 or central monitoring unit 30 may also be used.

Psychocentive health index The piston level is calculated for a proposed healthy routine that involves participating in activities every day that allows the body to achieve deep relaxation while maintaining a very high concentration of the mind for at least 15 minutes. The parameters used in the calculation of the associated piston level may be compared to the amount of time spent on mental concentration activity, and the skin temperature, heart rate, Percent change in respiratory rate, heat flow, or GSR. Information regarding the time spent on self-reflection and relaxation is presented to the user through the mental concentration web page 250 shown in FIG. For each mental concentration activity called a session, the preferred mental concentration web page 250 includes a comparison unit 265 representing the time 255 spent during the session, the target time 260, the mental concentration or focus target, and the actual depth. And histogram 270 representing the level of overall stress derived from skin temperature, heart rate, respiratory rate, heat flow or GSR, and the like. In the comparator 265, the body appearance representing the target focus is solid, and the body appearance representing the actual focus is in the range from fuzzy to solid, depending on the focus level. The preferred mind concentration web page 250 includes the total time spent 275 during the mind concentration activity, hyperlinks 280 allowing the user to directly access relevant new items and articles, and routines for mind concentration and advertisement subscriptions. And a calendar 285 for selecting from among a view having a variable and selectable habit cycle. Item 280 may be selected and customized based on the user's performance as measured by information learned about the individual in the survey and health index.

The sleep index 155 of the health index is designed to help the user monitor the user's sleep pattern and the quality of the user's sleep. This design is intended to help users learn about the importance of sleep in their healthy lifestyles and the relationship between sleep and rhythm, a normal daily change in body function. The sleep category is based on data sensed by the sensor device 10 and data input by the user. The data entered by the user during each associated time period includes a rating of the time and quality of sleep the user wakes up in time to bed. As shown in Table 2, data from the relevant sensor device 10 includes skin temperature, heart rate, heart rate variability, respiratory rate, pulse rate, core temperature, skin response to electrostimulation, EMG, EEG, EOG, blood pressure and oxygen. Includes consumption. Also relevant are ambient noise and body movements and movements detected by devices such as accelerometers. This data is used to calculate or derive the time of sleep and wake up, sleep disturbance and depth and quality of sleep.

Sleep health index piston levels are determined in relation to healthy work including obtaining a minimum time of sleep, preferably 8 hours each night, and having an expected bed time and wake up time. Certain parameters that determine the piston level calculation may include sleep time sensed by the sensor device 10 or input by the user, bedtime and wake time, and quality of sleep derived or graded by the user from other data, and the like. It includes. Information about sleep is presented to the user via the sleep web page 290 shown in FIG. The sleep web page 290 includes a sleep duration indicator 295 and a user sleep time indicator 300 and a time indicator 305 that occurred based on data sensed by the sensor device 10 or input by a user. . The quality of sleep grade 310 entered by the user may also be used and displayed. If more than one daily time interval is displayed on the sleep web page 290, the sleep I duration indicator 295 is calculated and displayed as a cumulative value, and the sleep time indicator 300 and the time indicator 305 that occurred have been averaged. Calculated and displayed. Sleep webpage 290 also includes a user-selectable sleep graph 315 that calculates and displays one sleep related parameter at preselected time intervals. For illustrative purposes, FIG. 9 illustrates a day's heat flow, which tends to descend during sleep and rise while awake. From this information, human biorhythms can be derived. The sleep graph 315 includes a graphical representation of the data from the accelerometer integrated in the sensor device 10 for monitoring movement of the body. The sleep web page 290 is a hyperlink 320 that allows a user to directly access sleep-related items and articles, suggestions for detailing and improving the routines related to sleep and affiliate advertising available on the network, and appropriate times. Sleep calendar 325 for finding intervals. Item 320 may be selected and customized based on the user's achievement as measured by the health index and the information learned about the individual in the survey.

The health activity's daily activity category 155 is designed to help the user monitor health, safety related activities and risks and is based entirely on data entered by the user. The daily activity category may include a personal hygiene category that allows a user to monitor activities such as combing, brushing teeth, and showering; A health maintenance category that allows the user to track whether a user has taken a prescribed drug or supplement, and allows the user to monitor tobacco and alcohol consumption and car safety concerns such as seat belts; Personal time categories that allow users to monitor time spent with family and friends, leisure and concentration; And subcategories such as responsibility categories that allow users to monitor certain labor and financial activities such as billing and household chores.

The daily activity health index piston level is preferably determined in relation to the health routine as described below. For the personal hygiene category, the health routine requires the user to shower or bathe daily, brush their teeth every day and maintain their regular bowel habits. For the wellness category, the health routine requires the user to take medication vitamins and / or supplements, wear seat belts, refrain from smoking and drink heavy, and monitor health daily with a health manager. For the personal time category, health routines allow users to spend at least one hour a day with family and / or friends, limit working hours up to nine hours a day, spend several hours a day in leisure or fun play, Requires to use For the Responsibility category, the health routine requires the user to do household chores, pay bills, keep working hours and keep appointments. The health index piston level is calculated based on the degree to which the user completes the list of daily activities as determined by the information entered by the user.

Information relating to these activities is presented to the user through the daily activity web page 330 shown in FIG. In the daily activity web page 330, an activity chart 335 that can be selected for one or more subcategories shows whether the user has done what is required by the routine. Colored or shaded boxes indicate the activity the user needs, while empty or uncolored boxes indicate that the user has not performed the activity. Activity chart 335 can be generated and viewed at selectable time intervals. For illustrative purposes, FIG. 10 shows personal hygiene and personal time subcategories for a particular week. In addition, the daily activities web page 330 may include daily activities hyperlinks 340 that enable users to directly access relevant new items and articles, suggestions for improving the routine for daily activities and affiliate advertising, and appropriate Activity calendar 345 for selecting a time interval may be included. Item 340 may be selected and customized based on the user's achievement as measured by the health index and the information learned about the individual in the survey.

The mood category 155 of the health index is designed to allow the user to monitor perception of how the user is feeling on a particular day, based on information inherent in the subjective rating entered directly by the user. The user has mental sensitivity, emotional and physiological satisfaction; Energy level; Coping with life stress; look; Physical satisfaction; Self-ablation; Motivation; And grades on a scale of 1 to 5 for subject areas, including other related ethics and the like.

Referring to FIG. 11, a health index web page 350 is shown. Health index web page 350 allows the user to view the achievement of the user health index over a time interval the user can select, including any continuous or discontinuous days. Using the health index selector button 360, the user can choose to view health index piston levels for one category or to see a side-by-side comparison of health index piston levels for two or more categories. By way of example, a user may simply want to turn on the sleep button to see if they have improved their overall sleep rating over the previous month or to see the achievement for their favorite stock as well. Alternatively, sleep and activity levels may be displayed simultaneously to compare and evaluate the sleep activity level and the corresponding activity level grade to determine whether any daily correlation exists. The infant intake rating may be displayed to indicate how the user feels during that interval to determine whether there is any correlation between the daily food intake habit and the period of time that the user feels during the selected time interval. For illustrative purposes, FIG. 11 illustrates a comparison between sleep and activity piston levels for a week of June 10 to June 16. The health index web page 350 shows the total number of days the user has used and logged in to the health manager, the percentage of the total number of days the user has used the health manager since becoming a subscriber, and the percentage of the user using the sensor device 10 to obtain data. It may also include a tracking calendar 365 that displays statistics and access information, such as.

5, the startup health manager web page 150 may include a plurality of user selectable category summaries 156a through 156f, each corresponding to each of the health index 155 categories. Each of the category summaries 156a-156f presents a preselected filtered subset of data associated with the corresponding category. The nutrition intake category summary unit 156a displays the daily goal and actual calorie intake. The activity level category summarizer 156b displays the daily goal and the actual calories burned. Concentration category summary 156c displays the daily goal and the actual depth of focus or focus. The sleep category summary unit 156d displays grades for target sleep, actual sleep, and sleep quality. The daily activity category summary 156e displays actual scores and targets based on the percentage completed for the proposed daily activity. The mood category summary section 156f shows the goal and actual grade for the day.

Startup Health Manager web page 150 also includes, but is not limited to, descriptions or warnings, new items and, based on trends such as poor nutritional habits determined in the initial survey, based on daily time intervals, including: It may also include a daily dose section 157 that provides a hyperlink to the article. The description for the daily dose section 157, e.g. 8 cups of water intake per day for 32% of colon cancer, according to the suggestion that one cup of water when working in front of the computer or the cup should be filled in front of the desk and frequently while working. It can be a practical sentence that can be reduced. The startup health manager web page 150 may also include a problem solver section 158 that actively evaluates the user's achievements in the category lectures of the health index 155 to suggest suggestions for improvement. For example, if the system detects that the user's sleep level is low, which suggests that the user has trouble sleeping, the problem solver 158 can provide suggestions for improving sleep. The problem solver 158 may also include user query performance regarding achievement improvement. Startup health manager web page 150 may include a daily data section 159 that opens an input dialog. The input dialog box may facilitate the user's input to various data required by the health manager. As is known, the data item may be in a form selected from a predetermined list or in a general form independent of text input. Finally, the startup health manager web page 150 includes a body statistics section 161 that provides information about the user's height, weight, body mass index or BMI, and vital signs such as heart rate, blood pressure or any physiological parameter. It may include.

12-17, a specific embodiment of the sensor device 10 is shown in the form of an arm band that is covered over the upper arm between the shoulder and elbow. Specific embodiments of the sensor device 10 shown in FIGS. 12-17 will be referred to as arm band sensor device 400 for convenience. Arm band sensor device 400 includes a computer housing 405, a flexible wing body 410, and an elastic strap 415, as shown in FIG. 17. Computer housing 405 and flexible wing body 410 are preferably made of an elastomer, such as a rubber or rubber silicone mixture, by urethane or molding. The flexible wing body 410 includes a first and second wing 418, each having a through-hole 420 located near the end 425. The first and second wings 418 are adapted to surround the upper portion of the wearer's arm.

Elastic strap 415 is removably attached to arm band sensor device 400 over an individual's arm. As shown in FIG. 17, the bottom surface 426 of the elastic strap 415 is provided with a velcro loop 416 that wraps around that portion. Each end 427 of the elastic strap 415 is provided with a velcro hook patch 428 on the bottom surface 426 and a pull tab 429 on the top surface 430. The portion of each pull tab 429 extends beyond the edge of each end 427.

To mount the arm band sensor device 400, the user inserts each end 427 of the elastic strap 415 into each through-hole 420 of the flexible wing body 410. The user then positions the arm through a loop made of elastic strap 415, flexible wing body 410, and computer housing 405. By pulling each pull tab 429 and engaging a velcro hook patch 428 with a velcro loop 416 to the desired position along the bottom surface 426 of the elastic strap 415, the user fits comfortably. Elastic strap 415 can be adjusted. Since the velcro hook patch 428 can abut the velcro loop 416 at almost any position along the bottom surface 426, the arm band sensor device 400 can be adjusted to fit arms of various sizes. In addition, the elastic strap 415 may be provided in various lengths to fit a wider arm size. Other means of sizing and adjusting the elastic strap, which will be apparent to those skilled in the art, may be used including, but not limited to, snaps, buttons, or buckles. It is also possible to use two elastic straps tightened by one of several conventional means including velcro, snaps, buttons, buckles, or the like, or to use only one elastic strap attached to the wing 418.

Alternatively, instead of providing a through-hole 420 in the wing 418, a loop having the letter D shape may be attached to the end 425 of the wing 418 by one of several conventional means. For example, although not shown, a pin may be inserted through the end 425, which engages each end of each loop. In this configuration, the D-shaped loop serves as a connection point for the elastic strap 415, effectively creating a through-hole between each end 425 of each wing 418 and each loop.

As shown in FIG. 18, which is an exploded view of arm band sensor device 400, computer housing 405 includes top 435 and bottom 440. Within the computer housing 405 is a printed circuit board or PCB 445, a rechargeable battery 450, preferably a lithium ion battery, and a vibration motor 455 for providing tactile feedback to the wearer as used in the beeper. Model 12342 and Model 12343, sold by MG Motors Ltd., are suitable examples.

The top 435 and the bottom 440 of the computer housing 405 are sealed along the groove 436 in which the O-ring 437 fits, and the threaded holes 438 of the bottom 440 are not shown. ) And screws passing through the suture receiving stiffener 451 of the upper portion 435 through the holes in the stiffener 438b and the PCB 445. Alternatively, top 435 and bottom 440 may be engaged together or secured to each other with an adhesive. Preferably, the assembled computer housing 405 is sufficiently waterproof to allow the armband sensor device 400 to be worn without disturbing swimming.

As shown in FIG. 13, the bottom portion 440 includes a platform 430 raised on its bottom surface. The raised platform 430 is equipped with a heat flow or heat flux sensor 460, a suitable example of which is an ultra-thin heat flux sensor sold by RdF Corporation, Hudderson, New Hampshire. The heat flux sensor 460 functions as a self-generating thermocouple converter and preferably comprises a carrier made of a polyamide film. The bottom portion 440 includes a heat sink made of a suitable metal, such as aluminum, although not shown on its top surface, which is opposite to the surface on which the heat flux sensor 460 is fixed. In addition, the GSR sensor 465 including an electrode made of conductive carbon rubber, gold or stainless steel is preferably fixed to the raised platform 430. Although two GSR sensors 465 are shown in FIG. 13, one of ordinary skill in the art would appreciate that the number of GSR sensors 465 and their placement on the raised platform 430 allow each GSR sensor 465, i.e., electrodes, to be electrically connected. It will be understood that they can be changed as long as they are polarized together. By being secured to the raised platform 430, the heat flux sensor 460 and the GSR sensor 465 are in contact with the wearer's skin when the armband sensor device 400 is worn. Surfaces not including raised platform 430 and threaded holes 438a of bottom 440 of computer housing 405 are also provided with soft foam cloth pads that are not shown but are removable and replaceable. The soft foam cloth makes contact with the wearer's skin to make the arm band sensor device 400 more comfortable to wear.

The electrical connection between the heat flux sensor 460, the GSR sensor 465, and the PCB 445 can be made by one of a variety of known methods. For example, although not shown, appropriate wiring can be molded at the bottom 440 of the computer housing 405 and suitable input locations on the PCB 445 and soldered to the heat flux sensor 460 and the GSR sensor 465. Thereby it can be electrically connected. Alternatively, rather than molding the wiring to the bottom 440, a through-hole may be provided in the bottom 440 through which suitable wiring may pass. Preferably, the through-hole is provided with a waterproof seal for maintaining the engagement of the computer housing 405.

Rather than being secured to the raised platform 430 as shown in FIG. 13, one or a pair of heat flux sensors 460 and GSR sensors 465 contact the wearer's skin when the armband sensor device 400 is worn. May be secured to either one of the flexible wing bodies 410 or to the interior 466 of both wings 418. In such a configuration, the electrical connection between the heat flux sensor 460 and the GSR sensor 465 and the PCB 445, in any case, though not shown, passes through one or more through-holes in the computer housing 405 to allow the PCB ( 445 may be a suitable wire molded to a flexible wing body 410 that is electrically connected, such as soldering, to a suitable input location on 445. Again, the through-holes are preferably provided with a watertight seal to maintain engagement of the computer housing 405. Alternatively, rather than providing a through-hole through which wiring passes in the computer housing 405, the wiring is trapped in the computer housing 405 during the overmolding process described below and ultimately at an appropriate input location on the PCB 445. Can be soldered.

As shown in FIGS. 12, 16, 17, and 18, the computer housing 405 includes a button 470 connected to activate a momentary switch 585 on the PCB 445. The button 470 can be used to activate the armband sensor device 400 for use, to mark the time when an event was generated, or to request system state information such as battery level and memory performance. When button 470 is pressed, momentary switch 585 closes the circuit and a signal is sent to processing unit 490 on PCB 445. The computer housing 405 also includes an LED 475 that can be used to indicate battery level or memory performance or to provide visual feedback to the wearer. Rather than the LED 475, the computer housing 405 may also include a liquid crystal display (LCD) to provide the wearer with battery level, memory performance or visual feedback information. Battery level, memory performance or feedback information may also be provided to the user tactilely or acoustically.

The armband sense device 400 collects data when it detects a particular situation in which either the GSR sensor 465 or the heat flux sensor 460 indicates that the armband sensor device 400 has been placed in contact with the user's skin. Can be maneuvered for use. The armband sensor device 400 may also be alone or in combination with one or more heat flux sensors 460, GSR sensors 465, accelerometers 495 or 550, or any other device in communication with the armband sensor device 400. Armband sensor device 400 may be activated for use when detecting a particular situation or situations indicating that the armband sensor device 400 has been placed in contact with the user's skin for use. At other times, the armband sensor device 400 is deactivated to conserve battery power.

The computer housing 405 is connected to the battery charging unit 480 shown in FIG. 19 for charging the rechargeable battery 450. Computer housing 405 includes a charger contact point 485, shown in FIGS. 12, 15, 16, and 17, connected to rechargeable battery 450. The charger contact point 485 may be made of a metal material such as brass, gold or stainless steel and is not shown but engaged with an electrical contact point provided to the battery charging unit 480 when the armband sensor device 400 is located therein. Make electrical connections. The electrical contact point provided to the battery charging unit 480 may be connected to a charging circuit 481 provided inside the battery charging unit 480. In this configuration, the charging circuit 481 may be attached to the battery charging unit 480 or It is connected to a wall outlet, such as by a wiring method including a suitable plug that can be attached, Optionally, electrical contact points 480 are alternately connected to a charging circuit 481b external to the battery charging unit 480. It may be connected to a wire that can be attached or attached to the battery charging unit 480.

In addition, the battery charging unit 480 is provided with an RF transmitter 483 for receiving a signal from the RF transceiver 565 provided in the computer housing 405 or transmitting a signal to the RF transceiver 565. The illustrated RF transceiver 483 is, for example, a suitable cable such that it is connected to a serial port such as a USB port or an RS232 port of a device such as the personal computer 35 shown in FIG. Although RF transceivers 483 and 565 are shown in FIGS. 19 and 20, it will be appreciated that other types of wireless transceivers, such as infrared transceivers, may be used. Optionally, the computer housing 405 is provided with an additional electrical contact that is electrically connected in engagement with an additional electrical contact that is provided to the battery charging unit 480 when the armband sensor device 400 is mounted, although not shown. Additional electrical contacts in the computer housing 405 are connected to the processing unit 490 and the additional electrical contacts provided to the battery charging unit 480 are alternately connected to a serial port such as RS232 or a USB port of a device such as a personal computer 35. Is connected to the appropriate cable to be connected. This configuration thus provides an alternative method for downloading and uploading data to or from the armband sensor device 400 using a physical connection.

20 is a schematic diagram showing the armband sensor device 400 system structure, in particular each component being on or coupled to the PCB 445.

As shown in FIG. 17, PCB 445 includes a processing unit 490, which may be a microprocessor, microcontroller, or any other processing device, which may be capable of implementing the functions described herein. The processing unit 490 is intended to provide all the functionality described in connection with the microprocessor 20 shown in FIG. A suitable example of processing unit 490 is Dragon Ball EZ, sold by Motorola, Schaumburg, Illinois. PCB 445 also includes a biaxial accelerometer 495, a suitable example of an accelerometer being a model ADXL210 accelerometer sold by Analog Devices Incorporated, Norwood, Massachusetts. The biaxial accelerometer is preferably at an angle such that when the armband sensor device 400 is worn, the sensing axis is offset at an angle substantially equal to 45 degrees from the longitudinal axis of the PCB 445, ie the longitudinal axis of the wearer's arm. 445). The longitudinal axis of the wearer's arm refers to an axis defined by a straight line from the wearer's shoulder to the elbow. The output signal of the biaxial accelerometer 495 is input to an analog-to-digital converter 505 which, in turn, passes through the buffer 500 and is connected to the processing unit 490 in turn. The GSR sensor 465 is connected to the amplifier 510 on the PCB 445. The amplifier 510 functions as an amplifier and a low pass filter. A suitable example is a model AD8544 amplifier sold by Analog Devices, Inc., Norwood, Massachusetts. The output signal amplified and filtered by the amplifier 510 is input to the amplifier / offset 515 and to the filter / conditioning circuit 520 to provide better gain and remove any bias voltage, each alternately. To analog-to-digital converter 505. The heat flux sensor 460 is connected to a differential input amplifier 525, such as a Model INA amplifier sold by Burr-Brown Corporation, Tucson, Arizona, and the resulting amplified signal is coupled to the analog-to-digital converter 505. Pass through filter circuit 530, buffer 535 and amplifier 540 before being input. Amplifier 540 is configured to provide better gain and low pass characteristics, and a suitable example of such an amplifier is the Model AD8544 amplifier sold by Analog Devices, Inc., Norwood, Mass. PCB 445 also includes a battery monitor 545 that monitors the residual power level of rechargeable battery 450. Battery monitor 545 preferably includes a voltage divider having a low pass filter to provide average battery voltage. When the user presses the button 470 in the manner employed to request the battery level, the processing unit 490 checks the output of the battery monitor 545, preferably through the LED 475, or via a vibrating motor ( 455 or ringer 575 to display to the user.

PCB 445 can include a three-axis accelerometer in place of or in addition to the two-axis accelerometer. The three axis accelerometer outputs the signal to the processing unit 490. A suitable example of a three-axis accelerometer is I.M., Scottsdale, Arizona. It is a uPAM product sold by Systems. The three axis accelerometer is preferably tilted in the manner described with respect to the two axis accelerometer 495.

PCB 445 also includes an RF receiver 555 that is coupled to processing unit 490. The RF receiver 555 is configured to receive signals output by another device having a wireless transmission function, such as the wireless device 558, which is located in or near the person wearing the armband sensor device 400, shown in FIG. Can be used. For example, the wireless device 558 may be a heart rate monitor mounted on a chest, such as a tempo product sold by Polar Electro of Oulu, Finland. Using such a heart rate monitor, data indicative of the wearer's heart rate may be collected by the armband sensor device 400. Antenna 560 and RF transceiver 565 are coupled to processing unit 490 and are provided for the purpose of uploading data to central monitoring unit 30 and receiving data downloaded from central monitoring unit 30. The RF transmitter 565 and the RF receiver 555 can employ Bluetooth technology, for example, as a wireless transmission protocol. In addition, other forms of wireless transmission, such as infrared transmission, may also be used.

The vibration motor 455 is connected to the processing unit 490 via a vibration driver 570 and provides tactile feedback to the wearer. Model SMT916A available from Daiton Project Unlimited Incorporated, Ringer (575) is a Ringer driver (580)-A suitable example of a Ringer driver is the model MMBTA14 CTI Darlington Transistor Driver sold by Motorola, Schaumburg, Illinois. Is coupled to the processing unit 490 via-providing acoustic feedback to the wearer. For example, feedback may include messages that lead to celebrations, warnings, and other initiation or events, such as when the wearer reaches one level of calories burned while working.

A momentary switch 585 is also provided on the PCB 445 and connected to the processing unit 490. Momentary switch 585 is also connected to button 470 for activating momentary switch 585. The LED 475, which is used to provide the wearer with various types of feedback information, is connected to the processing unit 490 via an LED latch / driver 590.

Oscillator 595 is provided to PCB 445 to provide system clock to processing unit 490. A reset circuit 600, to which the computer housing 405 can be connected and triggered through the side pinholes, is coupled to the processing unit 490 to cause the processing unit 490 to reset to its standard initial settings.

Charger 450, the main power source of armband sensor device 400, is connected to processing unit 490 through voltage adjuster 605. Finally, the memory function for the armband sensor device 400 includes an SRAM 610 that stores data related to the wearer of the armband sensor device 400 and a program and configuration data on the PCB 445. Provided by the flash memory 615. SRAM 610 and flash memory 615 are coupled to processing unit 490 and preferably include at least 512K memory each.

In manufacturing and assembling the armband sensor device 400, the top 435 of the computer housing 405 is first formed and then the flexible wing body 410, preferably by conventional molding processes. Is overmolded on the upper surface of the upper portion 435. That is, the top 435 is positioned in a mold of a suitable shape, having an extra cavity formed according to the desired shape of the flexible wing body 410 when the top 435 is positioned and flexible. The castle wing body 410 is molded on the upper surface of the upper portion 435. As a result, the flexible wing body 410 and the top 435 are joined or glued together to form a single unit. Optionally, the top 435 of the computer housing 405 and the flexible wing body 410 may be formed together, such as by molding in a single mold, to form a single unit. However, the single unit formed can then be flipped so that the bottom of the top 435 is facing up, the contents of the computer housing 405 can be located within the top 435, and the top 435 and bottom 440 May be attached to each other. As another alternative, the flexible wing body 410 may be formed separately, such as by conventional molding processors, and the computer housing 405, in particular the top 435 of the computer housing 405, may be adhesive, It can be attached to the flexible wing body 410 in one of several well known ways, such as by snap-fitting, or by screwing two pieces together. The remainder of the computer housing 405 may then be assembled as described above. Rather than assembling the rest of the computer housing 405 after the top 435 is attached to the flexible wing body 410, the computer housing 405 may be assembled first and then attached to the flexible wing body 410. Will be understood.

The terms and expressions employed herein are for the purpose of description and not of limitation, and it is recognized that various modifications may be made within the scope of the claimed subject matter, which is hereby excluded from the phrases or portions of the features shown and described herein. And the use of the expression is not restricted. Although specific embodiments of the invention have been described in the foregoing detailed description, it should be understood that the invention is not limited to the disclosed embodiments and that numerous rearrangements, modifications, and substitutions are possible.

Claims (137)

Data and activity, located in contact with the upper arm of the individual, comprising at least one of an accelerometer, a GSR sensor and a heat flux sensor, indicating at least one of the individual's activity, skin response to electrical stimulation, and heat flow; A sensor device for generating at least one of data derived from at least a portion of said data indicative of at least one of skin response to a stimulus and heat flow; Generating analysis state data derived from at least a portion of the data, at least one of the derived data and the analysis state data, indicating at least one of activity, skin response to electrical stimulation and heat flow; A central monitoring unit including a data storage device for retrievably storing at least one of said data, said derived data and said analysis state data indicating at least one of a skin reaction and heat flow to said body; Data transmission means for at least temporary electronic communication between said sensor device and said central monitoring unit; And Means for transmitting to said recipient at least one of said data, said derived data and said analysis state data indicative of at least one of activity, skin response to electrical stimulation, and heat flow; detecting personal physiological information System for monitoring and reporting. The system of claim 1, wherein the sensor device further comprises a processor to generate the derived data. The system of claim 1, wherein the sensor device further comprises means for providing the individual with at least one of tactile, auditory, and visual information. 4. The system of claim 3, wherein said information is based on said derived data. The system of claim 1, wherein the sensor device further comprises at least one of a vibration motor, a ringer, and one or more LEDs to provide information to the individual. 6. The system of claim 5, wherein said information is based on said derived data. 6. The system of claim 5, wherein the information comprises at least one of remaining memory capacity and remaining battery level. The system of claim 1, wherein the central monitoring unit is configured to generate data derived from at least a portion of the data indicative of at least one of activity, skin response to electrical stimulation, and heat flow. The system of claim 1, wherein said data indicative of at least one of activity, skin response to electrical stimulation, and heat flow comprises a summary over a period of time. The system of claim 1, wherein the sensor device further comprises a memory for storing the data and the data indicating at least one of activity, skin response to electrical stimulation, and heat flow. The web of claim 1, wherein the central monitoring unit comprises at least one web comprising at least one of the data, the induced data, and the analysis state data indicating at least one of activity, skin response to electrical stimulation, and heat flow. Generate a page, and said means for transmission allows said recipient to access said web page via the Internet. 9. The web of claim 8, wherein the central monitoring unit comprises at least one web including at least one of the data, the induced data, and the analysis state data indicating at least one of activity, skin response to electrical stimulation, and heat flow. Generate a page, and said means for transmission allows said recipient to access said web page via the Internet. The electronic device of claim 1, wherein the means for transmitting the electronic network comprises the at least one of the data, the induced data, and the analysis state data indicating at least one of activity, skin response to electrical stimulation, and heat flow. And transmit to the recipient via. 2. The apparatus of claim 1, wherein said means for transmission is in physical form of said at least one of said data, said induced data, and said analysis state data indicating at least one of activity, skin response to electrical stimulation, and heat flow. And transmit to the recipient. The system of claim 1, wherein said recipient comprises said individual. The system of claim 1, wherein the recipient comprises a third party authorized by the individual. 2. The method of claim 1, further comprising means for obtaining the personal activity data of the individual, retrievable stored in the data storage device, wherein the analysis status data is also generated from a selected portion of the life activity data. System characterized in that the. 18. The system of claim 17, wherein the means for obtaining comprises means for enabling the individual to enter the life activity data and to transmit the life activity data to the central monitoring unit. 18. The system of claim 17, wherein the means for obtaining comprises an input device for enabling the individual to input the life activity data, which causes the life activity data to be transmitted to the central monitoring unit. The method of claim 1, wherein the sensor device generates data indicative of one or more contextual parameters associated with the individual, and wherein the analysis state data is also selected portion of the data indicative of one or more contextual parameters. The system characterized in that is generated from. 2. The system of claim 1, further comprising means for downloading data from the central monitoring unit to the sensor device. 3. The sensor device of claim 2, wherein the sensor device includes a computer housing for containing the processor and a flexible wing body having first and second wings adapted to enclose a portion of the upper portion of the arm. system. 23. The system of claim 22, wherein the computer housing has a skin contact surface and at least one of the GSR sensor and the heat flux sensor is attached to the skin contact surface. 23. The system of claim 22, wherein the flexible wing body has a skin contact surface and at least one of the GSR sensor and the heat flux sensor is attached to the skin contact surface. 23. The system of claim 22, further comprising means for removably attaching the sensor device to the upper arm. 23. The apparatus of claim 22, wherein each of the vanes has a hole and the sensor device further comprises an elastic strap inserted through the hole to removably attach the sensor device to the upper arm. system. 23. The system of claim 22, wherein the computer housing includes a button to transmit a signal to the processor indicating a time of an event. 28. The system of claim 27, wherein the button further causes a signal to be sent to the processor requesting information related to at least one of remaining battery level and remaining memory performance. 29. The system of claim 28, wherein said information is output to said individual. 30. The system of claim 29, wherein the information is output visually. 31. The system of claim 30, wherein the computer housing also includes one or more LEDs, wherein the LEDs display the information related to the at least one of remaining battery level and remaining memory performance. The system of claim 1, wherein the sensor device further comprises a wireless receiver for receiving data from a wireless device worn by or located near the individual. 31. The apparatus of claim 30, wherein the wireless device comprises a heart rate monitor, wherein the data received from the wireless device includes data indicative of the heart rate of the individual, wherein the derived data and the analysis state data are also heart rate. Generated from at least a portion of the data indicating a. The system of claim 1, wherein the sensor device further comprises a rechargeable battery, wherein the sensor device is positioned in a battery charging unit to charge the rechargeable battery. 35. The apparatus of claim 34, wherein the sensor device further comprises a first wireless transceiver, the battery charging unit further comprises a second wireless transceiver, wherein the first and second wireless transceivers are in communication with each other and form at least part of the data transmission means. System characterized in that. The system of claim 1, wherein said sensor device further comprises a wireless transceiver which forms at least part of said data transmission means. The system of claim 1, wherein the accelerometer has at least two axes. 38. The system of claim 37, wherein the accelerometer is mounted to the sensor device such that when the sensor device is mounted to the arm, the axes form a substantially 45 degree angle with the longitudinal axis of the arm of the individual. The system of claim 1, wherein the derived data includes at least one of calories burned, sleep start and wake, stress levels and relaxation levels. 2. The system of claim 1, wherein said derived data is based on at least one of said data indicating heat flow and said data comprising calories burned. 41. The system of claim 40, wherein said derived data is also based on said data indicative of skin response to electrical stimulation. 10. The system of claim 8, wherein the derived data includes at least one of calories burned, sleep start and wake, stress levels and relaxation. 9. The system of claim 8, wherein said derived data is based on at least one of said data indicating heat flow and said data comprising calories burned. 44. The system of claim 43, wherein said derived data is further based on said data indicative of skin response to electrical stimulation. In a system for monitoring the extent to which an individual has followed the proposed routine, Data and activity to be positioned in contact with the upper arm of the individual, including at least one of an accelerometer, a GSR sensor, and a heat flux sensor, indicating at least one of the individual's activity, skin response to electrical stimulation, and heat flow A sensor device for generating at least one of data derived from at least a portion of said data indicative of at least one of a skin response to the electrical stimulus and a heat flow; For transmitting said at least one of said data indicative of at least one of activity, skin response to electrical stimulation and heat flow and said dataword derived from said sensor device to a central monitoring unit remote from said sensor device. Way; And Means for providing said personal activity data to said central monitoring unit; The central monitoring unit allows the individual to generate and provide feedback regarding the extent to which the individual has followed the proposed routine, the feedback indicating the at least one of activity, skin response to electrical stimulation and heat flow. And at least a portion of at least one of data, said derived data and said life activity data. 46. The system of claim 45, wherein the sensor device further comprises a processor to generate the derived data. 46. The data storage device of claim 45, wherein said central monitoring unit is retrievable to store said data, said induced data and said living activity data indicative of at least one of activity, skin response to electrical stimulation and heat flow. System comprising a. 46. The system of claim 45, wherein the central monitoring unit is configured to generate data derived from at least a portion of the data indicative of at least one of activity, skin response to electrical stimulation, and heat flow. 46. The system of claim 45, wherein said routine includes a plurality of categories. 50. The system of claim 49, wherein the feedback is generated and provided with respect to each of the categories. 51. The system of claim 50, wherein the category includes two or more of nutrition, activity level, mental concentration, sleep, and daily activity. 51. The system of claim 50, wherein at least a portion of the feedback is in graphical form. 53. The system of claim 52, wherein the central monitoring unit is configured to generate one or more webpages comprising the feedback, the webpages being accessible by the recipient via the Internet. 46. The system of claim 45, wherein the central monitoring unit is configured to generate one or more webpages including the feedback, the webpages being accessible by the recipient via the Internet. 49. The system of claim 48, wherein the central monitoring unit is configured to generate one or more webpages including the feedback, the webpages being accessible by the recipient via the Internet. 46. The system of claim 45, further comprising means for sending the feedback to the recipient via an electronic network. 49. The system of claim 48, further comprising means for transmitting the feedback to the recipient via an electronic network. 53. The system of claim 52, further comprising means for transmitting the feedback to the recipient via an electronic network. 46. The system of claim 45, further comprising means for transmitting the feedback in physical form to the recipient. 49. The system of claim 48, further comprising means for transmitting the feedback in physical form to the recipient. 53. The system of claim 52, further comprising means for transmitting the feedback in physical form to the recipient. 60. The system of claim 59, wherein the central monitoring unit is configured to generate one or more web pages for each of the categories, wherein the one or more web pages indicate at least one of activity, skin response to electrical stimulation, and heat flow. And detailed information based on at least a portion of at least one of data, the derived data, and the life activity data. 46. The system of claim 45, wherein the means for providing comprises means for allowing the individual to enter the life activity data and to transmit the life activity data to the central monitoring unit. . 46. The apparatus of claim 45, wherein the means for providing comprises an input device for enabling the individual to input the life activity data, the input device causing the life activity data to be sent to the central monitoring unit. System characterized. 46. The system of claim 45, wherein said recipient is said individual. 46. The system of claim 45, wherein said recipient is a third party authorized from said individual. 47. The system of claim 46, wherein the sensor device includes a computer housing for containing the processor and a flexible wing body having first and second wings to enclose a portion of the upper portion of the arm. . 68. The system of claim 67, wherein the computer housing has a skin contact surface and at least one of the GSR sensor and the heat flow sensor is attached to the skin contact surface. 68. The system of claim 67, wherein the flexible wing body has a skin contact surface and at least one of the GSR sensor and the heat flow sensor is attached to the skin contact surface. 68. The system of claim 67 further comprising means for removably attaching the sensor device to the upper portion of the arm. 68. The system of claim 67, wherein each of the vanes has a hole and the sensor device further comprises an elastic strap inserted through the hole. 68. The system of claim 67, wherein the computer housing includes a button to send a signal to the processor indicating a time of an event. 73. The system of claim 72, wherein the button further causes a signal to be sent to the processor requesting information related to at least one of remaining battery level and remaining memory performance. 74. The system of claim 73, wherein said information is output to said individual. 75. The system of claim 74, wherein the information is output visually. 76. The system of claim 75, wherein the computer housing also includes one or more LEDs, wherein the LEDs display information related to at least one of remaining battery level and remaining memory performance. 46. The system of claim 45, wherein the sensor device further comprises a wireless receiver for receiving data from a wireless device worn by or located near the individual. 78. The apparatus of claim 77, wherein the wireless device comprises a heart rate monitor, wherein the data received from the wireless device comprises data indicative of the heart rate of the individual, and wherein the derived data and the feedback also indicate heart rate Generated from at least a portion of the data. 46. The system of claim 45, wherein the sensor device further comprises a rechargeable battery, wherein the sensor device is positioned in a battery charging unit for charging the rechargeable battery. 80. The apparatus of claim 79, wherein said sensor device further comprises a first wireless transceiver, said battery charging unit further comprises a second wireless transceiver, said first and second wireless transceivers communicating with each other and at least one of said transmitting means. Forming part of the system. 46. The system of claim 45, wherein said sensor device further comprises a wireless transceiver which forms at least part of said transmission means. 46. The system of claim 45, wherein the accelerometer has at least two axes. 83. The system of claim 82, wherein the accelerometer is mounted to the device such that the axis forms an angle of substantially 45 degrees with the longitudinal axis of the arm of the individual when the sensor device is worn on the arm. 46. The system of claim 45, wherein said derived data includes at least one of burned calories, sleep start and wake, stress levels and relaxation levels. 46. The system of claim 45, wherein said derived data is based on at least one of said data indicative of heat flow and said data comprising calories burned. 86. The system of claim 85, wherein said derived data is further based on said data indicative of skin response to electrical stimulation. 49. The system of claim 48, wherein the derived data includes at least one of burned calories, sleep start and wake, stress levels and relaxation levels. 49. The system of claim 48, wherein said derived data is based on at least one of said data indicative of heat flow and said data comprising calories burned. 89. The system of claim 88, wherein said derived data is also based on said data indicative of skin response to electrical stimulation. 89. The system of claim 88, wherein the sensor device further comprises means for providing the individual with at least one of tactile, auditory, and visual information. 93. The system of claim 90, wherein said information is based on said derived data. 46. The system of claim 45, wherein the sensor device further comprises at least one of a vibration motor, a ringer, and one or more LEDs for providing information to the individual. 93. The system of claim 92, wherein said information is based on said derived data. 93. The system of claim 92, wherein said information includes at least one of residual memory performance and residual battery level and is provided by said LED. A sensor device positioned in contact with an upper arm of an individual and configured to generate data indicative of at least one of activity, skin response to electrical stimulation, and heat flow, At least one of an accelerometer, a GSR sensor, and a heat flow sensor; A processor coupled to the at least one of an accelerometer, a GSR sensor, and a heat flow sensor; Input / output means for inputting / outputting data from the sensor device; A computer housing for containing the processor; And And a flexible wing body having first and second wings, wherein the first and second wings wrap around a portion of the upper portion of the arm. 96. The sensor device according to claim 95, wherein said input / output means comprises a wireless transceiver. 97. The sensor device of claim 95, wherein the processor is configured to generate data derived from the data indicative of at least one of activity, skin response to electrical stimulation, and heat flow. 98. The sensor device of claim 97, wherein said derived data includes at least one of burned calories, sleep start and wake, stress levels, and relaxation levels. 98. The sensor device of claim 97, wherein said derived data is based on at least one of said data indicating heat flow and said data comprising burned calories and indicating activity. 107. The sensor device of claim 99, wherein said derived data is further based on said data indicative of skin response to electrical stimulation. 97. The sensor device of claim 97, further comprising means for providing at least one of tactile, auditory, and visual information to the individual. 102. The sensor device of claim 101, wherein said information is based on said derived data. 98. The sensor device of claim 97, further comprising at least one of a vibration motor, a ringer, and one or more LEDs for providing information to the individual. 107. The sensor device of claim 103, wherein said information is based on said derived data. 96. The sensor device of claim 95, further comprising at least one of a vibration motor, a ringer, and one or more LEDs for providing information to the individual. 107. The sensor device of claim 105, wherein said information includes at least one of residual memory performance and residual battery level and is provided by said LED. 97. The sensor device of claim 95, further comprising means for providing the individual with at least one of tactile, auditory, and visual information. 108. The sensor device of claim 107, wherein said information comprises at least one of residual memory performance and residual battery level. 95. The sensor device of claim 95, wherein the accelerometer has at least two axes. 109. The sensor device of claim 109, wherein the accelerometer is mounted inside the computer housing such that the axis forms an angle of substantially 45 degrees with the longitudinal axis of the arm when the sensor device is worn on the arm. 95. The sensor device of claim 95, wherein the computer housing has a skin contact surface and at least one of the GSR sensor and the heat flow sensor is attached to the skin contact surface. 95. The sensor device of claim 95, wherein the flexible wing body has a skin contact surface and at least one of the GSR sensor and the heat flow sensor is attached to the skin contact surface. 96. The sensor device of claim 95, further comprising means for removably attaching the sensor device to the upper portion of the arm. 97. The apparatus of claim 95, wherein each of the vanes has a hole, and the sensor device further comprises an elastic strap inserted through the hole to removably attach the sensor device to the upper arm. Sensor device. 97. The sensor device of claim 95, wherein the computer housing includes a button to transmit a signal to the processor marking a time of an event. 118. The sensor device of claim 115, wherein the button further transmits a signal to the processor requesting information relating to at least one of remaining battery level and remaining memory performance. 118. The sensor device of claim 116, wherein the information is output to the individual. 118. The sensor device of claim 117, wherein said information is visually output. 118. The sensor device of claim 118, wherein the computer housing also includes one or more LEDs, wherein the LEDs display the information relating to at least one of remaining battery level and remaining memory performance. 95. The sensor device of claim 95, further comprising a wireless receiver for receiving data from a wireless device worn by or located near the individual. 98. The wireless communication device of claim 97, further comprising a wireless receiver for receiving data from a wireless device worn by or located near the individual, wherein the wireless device comprises a heart rate monitor and is received from the wireless device. The data comprises data indicative of the heart rate of the individual, and the derived data is also generated from the data indicative of heart rate. 96. The sensor device of claim 95, further comprising a rechargeable battery, wherein the sensor device is positioned in a battery charging unit for charging the rechargeable battery. 123. The sensor device of claim 122, wherein the input / output means comprises a first wireless transceiver, the battery charging unit further comprises a second wireless transceiver, and the first and second wireless transceivers communicate with each other. . 2. The second apparatus of claim 1, wherein the sensor device further comprises a first wireless transceiver, the data transmitting means comprises the first wireless transceiver and a relay unit is positioned to be in communication with the first wireless transceiver. And a wireless transceiver. 126. The system of claim 124, wherein said data transmission means further comprises a computing device for electronically communicating with said central monitoring unit, said second wireless transceiver being electronically connected to said computing device. 46. The second radio of claim 45, wherein the sensor device further comprises a first radio transceiver, the transmitting means comprises the first radio transceiver and a relay unit is positioned to be in communication with the first radio transceiver. And a transceiver. 126. The system of claim 126, wherein said transmitting means further comprises a computing device for electronically communicating with said central monitoring unit, said second wireless transceiver being electronically connected with said computing device. 95. The apparatus of claim 95, wherein the input / output means comprises a first wireless transceiver, the first wireless transceiver being positioned to be able to communicate with a second wireless transceiver included in a relay unit, the second wireless transceiver being coupled to a computing device. Sensor device characterized in that it is connected electronically. A system for detecting and monitoring human physiological information, A sensor device, when positioned proximate to at least a portion of a human body, generating data indicative of one or more physiological parameters of the individual and having a first wireless transceiver; A relay unit having a second wireless transceiver positioned to communicate with the first wireless transceiver; And A computing device electronically coupled to the second wireless transceiver, wherein the data indicative of one or more physiological parameters is transmitted from the first wireless transceiver to the second wireless transceiver, the second wireless transceiver being one or more physiological And transmit the data indicative of an exemplary parameter to the computing device. 129. The system of claim 129, wherein the sensor device comprises one or more sensors for generating a signal in response to the physiological characteristics of the individual. 133. The system of claim 130, wherein said signal comprises said data indicative of one or more physiological parameters of said individual. 134. The apparatus of claim 130, wherein the sensor device further comprises a processor coupled to the sensor, the processor further comprising the data indicative of the one or more physiological parameters of the individual from the signal generated by the one or more sensors. System programmed to produce. 134. The apparatus of claim 129, wherein the sensor device also generates data derived from at least a portion of the data indicative of one or more physiological parameters, the derived data from the first radio transceiver to the second radio transceiver. And the second wireless transceiver transmits the derived data to the computing device; Generating said analysis state data from at least a portion of said data indicative of one or more physiological parameters, said derived data and analysis state data; A central monitoring unit remote from the sensor device, comprising a data storage device for retrievably storing at least one of the data indicative of one or more physiological parameters, the derived data and the analysis state data; And Means for transmitting at least one of said data indicative of one or more physiological parameters, said derived data and said analysis state data to a recipient, said computing device being capable of at least temporary electronic communication with said central monitoring unit. System characterized in that. 134. The apparatus of claim 133, wherein the sensor device comprises one or more sensors and a processor coupled to the sensor for generating a signal in response to the physiological characteristics of the individual, wherein the processor generates the signal generated by the one or more sensors. And generate the data and the derived data indicative of one or more physiological parameters of the individual from. 134. The method of claim 133, wherein the central monitoring unit is further configured to generate one or more webpages including at least one of the data indicative of one or more physiological parameters, the derived data, and the analysis state data. Means for allowing the recipient to access through the Internet. 134. The apparatus of claim 133, further comprising means for obtaining life activity data of the individual, wherein the life activity data is stored retrievable on the data storage device, and the analysis status data is further selected for the life activity data. System generated from the portion. 134. The apparatus of claim 133, wherein the sensor device generates data indicative of one or more contextual parameters associated with the individual, wherein the analysis state data is also generated from selected portions of the data indicative of one or more contextual parameters. System characterized in that the.