KR20160146184A - Health management system using wireless communication - Google Patents
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- KR20160146184A KR20160146184A KR1020150083083A KR20150083083A KR20160146184A KR 20160146184 A KR20160146184 A KR 20160146184A KR 1020150083083 A KR1020150083083 A KR 1020150083083A KR 20150083083 A KR20150083083 A KR 20150083083A KR 20160146184 A KR20160146184 A KR 20160146184A
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Abstract
The present invention relates to a health management system, and more particularly, to a health management system that receives sensing data of a wireless communication from a plurality of sensor nodes, accumulates pattern information on a user's health, compares the stored pattern information with sensed data And a health management system using wireless communication for discriminating the presence or absence of health abnormality.
According to another aspect of the present invention, there is provided a wireless communication system including: a plurality of sensor nodes including wireless communication means and transmitting predetermined sensing data to a control unit; And a controller for receiving and storing the sensing data from the plurality of sensor nodes, analyzing the sensed data, analyzing the sensed data for each individual user using the sensor node device, and generating and updating health data of the user, Analyzing the new sensing data received from the node by data classification, data value classification, and sensing time information, analyzing individual users forming a similar pattern for each individual user, analyzing individual users' previous data and new sensing data And discriminates whether or not an abnormal health pattern is obtained through pattern analysis discrimination.
Description
The present invention relates to a health management system, and more particularly, to a health management system that receives sensing data of a wireless communication from a plurality of sensor nodes, accumulates pattern information on a user's health, compares the stored pattern information with sensed data And a health management system using wireless communication for discriminating the presence or absence of health abnormality.
In general, wireless communication can be used to collect status information of devices easily and in a non-contact manner. As for this, it can be used to control the control of the entrance door, to take out the object, and is also useful for recognizing objects.
In addition, wireless devices such as audio devices and wireless charging technology have recently been developed. In order to reflect these technologies, information is transmitted and received between individual devices.
In recent years, various technologies for health have been proposed. In the conventional technique, a technique of reflecting health information from equipment that is normally exercising for a user receiving a prescription or a health care target as shown in FIG. 1 is proposed.
However, since the prior arts already reflect the contents of the prescription and the proceeding in the state where the user is already settled, it is difficult to reflect the analysis according to the user pattern in the facilities that many users use.
In order to overcome the above-mentioned problems, the present invention analyzes data sensed from a plurality of sensor nodes, calculates pattern information, compares the sensed data with pre-stored data based on the calculated data, So that it is possible to accurately analyze the current state even for a new user.
Another object of the present invention is to discriminate the presence or absence of health abnormality by comparing and discriminating the previously stored pattern information of a predetermined user with newly sensed sensing data.
Another object of the present invention is to utilize the sensor node map for all the sensor nodes, and to check the health behavior in addition to the behavior pattern of the user.
According to an aspect of the present invention, there is provided a wireless communication system including: a plurality of sensor nodes including wireless communication means and transmitting predetermined sensing data to a control unit; And a controller for receiving and storing the sensing data from the plurality of sensor nodes, analyzing the sensed data, analyzing the sensed data for each individual user using the sensor node device, and generating and updating health data of the user, Analyzing the new sensing data received from the node by data classification, data value classification, and sensing time information, analyzing individual users forming a similar pattern for each individual user, analyzing individual users' previous data and new sensing data And determining whether an abnormal health pattern is detected through pattern analysis discrimination.
In the present invention, the control unit may include a sensing data classification and analysis unit for classifying and analyzing data about sensing data transmitted from the sensor nodes, and analyzing individual users having similar patterns to the sensed data; A health pattern analyzer for analyzing patterns of newly sensed sensed data and previous health data of an individual user to determine whether an abnormal health pattern exists; A sensor for calculating sensor node map information for all the sensor nodes by analyzing transmission information transmitted from a plurality of sensor nodes at the originating sensor node for the wireless signal and measurement information measured at the other sensor nodes, A node map calculator; And an action abnormality determination unit for analyzing sensing information of the individual user received from the sensor nodes and analyzing the behavior pattern or the moving speed of the individual user with respect to the sensor node map information to determine whether the abnormal behavior pattern is an abnormal behavior pattern A health management system using wireless communication is provided.
In the present invention, a sensing step of transmitting time-based sensing data from a plurality of sensor nodes including wireless communication means and storing the sensing data in the control unit; An analysis step for each sensed data classified by classification data including a data classification, a data value classification, and a sensing time with respect to the sensed data by the control unit; An individual user pattern analysis step of analyzing an individual user constituting a similar pattern with respect to the classified and analyzed data by the control unit and updating the health data of the user; And a health pattern analysis step of comparing the newly sensed data with previously stored patterns for the individual user by the control unit and discriminating whether or not an abnormal health pattern exists. .
In the present invention, when the sensor node senses data for the user, the sensor node transmits a wireless signal when the sensor node senses the sensor node, receives the wireless signal from a plurality of other sensor nodes And transmits the received information to the control unit. The control unit transmits sensor node pixel information including the azimuth angle and the reception time information of the plurality of sensor nodes that received the wireless signal to the sensor node that transmitted the wireless signal And generating a sensor node map information for all the sensor nodes by analyzing the sensor node pixel information of the plurality of sensor nodes and storing the sensor node map information. Control method.
In the present invention, for the sensor node map, an action movement analysis step for analyzing behavior patterns and moving speeds of individual users by analyzing sensed data at a plurality of sensor nodes sensed at the sensing step by a control unit ; And a behavior pattern analyzing step of analyzing a behavior pattern or a behavior pattern for transmitting a signal of a behavior pattern or more when the analysis information of the behavior pattern or the movement speed for a predetermined period is different from the previous behavior pattern or the movement speed by a predetermined error range or more, And a determination step of determining whether the wireless communication system is in a wireless communication mode.
According to the present invention configured as described above, pattern information is calculated by analyzing sensed data from a plurality of sensor nodes, and compared with pre-stored data based on the calculated data, thereby discriminating users of the same or similar patterns. The present state can be accurately analyzed even for the user.
Another effect of the present invention is to discriminate between the pattern information of a predetermined user stored previously and the newly sensed sensing data to determine whether or not the health is abnormal.
Another advantage of the present invention is that the sensor node map for all the sensor nodes can be used to check the health behavior of the user in addition to the behavior pattern of the user.
1 is a block diagram of a healthcare technology according to the prior art.
2 is a control block diagram of the health management system according to the present invention.
FIG. 3 is a control flowchart for the health management system according to the present invention.
Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.
2 to 3, the health management system using wireless communication according to the present invention includes a plurality of sensor nodes 20 for sensing user information and sensing data for the user from the sensor nodes And a controller 30 for calculating health information about the user through analysis and transmission. In particular, the health management system according to the present invention analyzes a behavior pattern of an individual user in a facility or home where a plurality of users reside or uses, analyzes and discriminates sensed data from patterns of previous learned data, It is necessary to quickly determine whether the user's health is abnormal.
Particularly, even in the case of a home used by a plurality of users, the present invention is particularly effective in a case where the health state changes suddenly or abnormally, .
A health management system and a control method using wireless communication will now be described in detail with reference to the present invention.
That is, in the health management system using wireless communication in the present invention, a plurality of sensor nodes 20 including wireless communication means and transmitting predetermined sensing data to the control unit 30 are provided. These sensor nodes are intended to be devices that can be contacted by hand or body, such as a remote control, a television, a refrigerator, a microwave oven, a scale, a fitness machine, a smart phone, a notebook, desirable. In particular, by providing a short-distance wireless communication member, communication with other devices is facilitated and data transmission / reception with the control unit 30 is facilitated even if the devices are moved. do.
The wireless communication means for the sensor node 20 may be a Zigbee, a Bluetooth, a WiFi, or an RFID.
The control unit 30 receives and stores sensing data from the plurality of sensor nodes 20, analyzes the sensed data, and analyzes and analyzes the health data of each user using the device of the sensor node. .
The controller 30 analyzes the new sensing data received from the sensor node 20 by data classification, data value classification, and sensing time information to analyze individual users forming a similar pattern for each individual user, And discriminates whether or not an abnormal health pattern is obtained through pattern analysis discrimination for the previous user data and the new sensing data.
The detailed configuration of the control unit 30 in the health management system using wireless communication according to the present invention will now be described.
And a sensing data classification and analysis unit 31 for analyzing and analyzing the sensing data transmitted from the sensor nodes 20 and analyzing individual users forming a pattern similar to the sensed data. Thus, the pattern information is calculated for each of the sensed individual data by classification. Then, the user of the pattern associated with the calculated patterns is analyzed. That is, the devices of the individual sensor nodes are not used by one person but used by a plurality of users. Therefore, the user can not be designated in advance for the data sensed by a large number of sensor nodes, and the sensor must be classified.
Therefore, according to the present invention, the pattern data is calculated according to the collected sensor data classification, and the user having a pattern similar to the pattern of the newly sensed sensing data is analyzed. In the calculation of the pattern information, information detected by another sensor node is analyzed after a predetermined time from the time of the information sensed by one sensor node by reflecting the sensor node map information described later, Distance, etc., to connect to the driver user sensor data for one user. Thus, multiple sensing data of multiple sensors are received and analyzed for a given time for that user. Thus, the pattern information of a user collected during the corresponding time is calculated. The pattern information is compared with the existing pattern information stored in the storage unit, and the pre-stored user is selected. If it is determined that the pattern information does not match or is similar to the calculated pattern information, it will be stored as new user pattern information.
Examples of sensed sensing data can be categorized into body temperature, pulse, weight, pupil focus, facial color tone, and temperature.
In the example of the device, the remote control can detect the user's temperature or pulse through the user's hand, and can detect the moving speed and the moving direction pattern when the user has heard the acceleration sensor, the gravity sensor, etc. . That is, it may be classified into a user pattern which is taken with the left hand and a front face, and a pattern which is moved with the right hand and moved to the center.
In the case of television, a channel change pattern or a favorite channel can be classified. In addition, when a camera device is added, a user's eye movement, eye focus analysis, and temperature or color of a face can be analyzed. Also, in case of the door lock device, it can detect the temperature and pulse in case of contact with the shooting information of the entering and leaving user.
The user's hand touches the household appliance such as a refrigerator or a microwave oven so that it can sense the hand temperature, pulse, etc., and can detect the user's weight, temperature, pulse, etc. through the weight scale or the health appliance.
And a health pattern analysis unit 32 for analyzing patterns of the newly sensed sensed data and the previous health data of the corresponding individual user to determine whether the abnormal health pattern is an abnormal health pattern. In particular, by comparing the sensed data newly sensed by the health pattern analyzing unit 32 or the like with the previously stored pattern information of the corresponding user, the health abnormality of the user is examined.
In addition, by analyzing the origination information of the originating sensor node transmitted from the plurality of sensor nodes 20 and the measurement information measured by the other sensor nodes, the sensor node map information for all the sensor nodes And a sensor node map calculating unit 33 for calculating the sensor node map.
Thus, the user health information is analyzed by referring to the behavior pattern of the user's movement.
Next, an action abnormality discrimination unit 34 for discriminating the abnormal behavior pattern by analyzing the sensing information of the individual user received from the sensor nodes 20 and analyzing the behavior pattern or the moving speed of the individual user with respect to the sensor node map information .
That is, when the user moves along the path against the pre-stored pattern, if there is no further movement, the user can be seen as the collision, so that the emergency state can be confirmed.
In the control method of the health management system using the wireless communication according to the present invention as described above, the sensing data transmitted from the plurality of sensor nodes 20 including the wireless communication means is transmitted to the control unit 30, Step S10 is performed.
Then, the sensing data classifying and analyzing unit 31 of the control unit 30 performs a sensing data classifying step S20 for analyzing the sensed data by classification data including data classification, data value classification, and sensing time do.
The individual user pattern analysis step (S30) for analyzing the individual data of the similarity pattern data by the sensing data classification analysis unit (31) of the control unit (30) and updating the health data of the user is performed do.
Thus, the matching user is discriminated through the pattern analysis for each user, and the new sensed data is added to the existing data of the user and the new pattern data is calculated and stored. Thus, the pattern data reflecting the current state of the individual user is generated.
In addition, the health pattern analyzing unit 32 of the control unit 30 compares the newly sensed data with the previously stored pattern for the individual user, and performs a health pattern analyzing step (S40) do.
Thus, the pattern information of the previously stored user is compared with the pattern data of the newly sensed sensing data to determine whether or not a health problem exists.
Sudden abnormalities of health are determined by body temperature or pulse, and body weight, facial color, and eye focus are analyzed to determine the abnormality. The detailed discrimination of this health abnormality may be proceeded by an algorithm for known health discrimination.
Next, when the sensor node 20 senses data for the user, the control unit 30 transmits a wireless signal when the sensor node 20 senses the data, And transmits the reception information, upon reception of the wireless signal, to the control unit.
The sensor node map calculating unit 33 of the control unit 30 calculates the azimuth angle of the plurality of sensor nodes and the reception time of the sensor nodes 20 that have received the wireless signal, A sensor node map construction step of storing sensor node pixel information including information and analyzing sensor node pixel information of a plurality of sensor nodes 20 to calculate and storing sensor node map information for all the sensor nodes 20 S50).
The total sensor node map information for synthesizing the sensor nodes is calculated by analyzing the transmission and reception times and positions of signals transmitted and received based on a predetermined sensor as a reference among the plurality of sensor nodes.
The behavioral abnormality determination unit 34 of the control unit 30 analyzes the sensed data from the plurality of sensor nodes 20 sensed in the sensing step S10 with respect to the sensor node map, And a behavior analysis step (S60) for analyzing a behavior pattern and a movement speed of the robot.
The behavioral abnormality determination unit 34 of the control unit 30 determines whether the behavior pattern or the movement speed analysis information for a predetermined period of time in the behavior movement analysis step S60 corresponds to the previous behavior pattern or movement speed, The behavior pattern discrimination step S70 for emitting a signal of a behavior pattern or more is performed.
If the sensed behavior pattern is different from the pre-stored behavior pattern by the act pattern discrimination step (S70), it is determined that the abnormality is present, the sensed data of the newly sensed user is analyzed, and the health abnormality discrimination is performed according to the detailed classification User health care.
As described above, according to the present invention, the detailed health is examined with the individually sensed data, and in particular, the sensor node map for the sensor nodes is reflected, thereby discriminating according to the user's behavior.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. The technical idea of the present invention should not be construed as being limited.
20: sensor node 30:
31: Sensing data classification analyzing unit 32: Health pattern analyzing unit
33: Sensor node map calculating unit 34:
Claims (5)
And a controller for receiving and storing the sensing data from the plurality of sensor nodes, analyzing the sensing data, analyzing the sensing data for each individual user using the sensor node, and generating and updating health data of the user,
The controller analyzes the new sensing data received from the sensor node according to data classification, data value classification, and sensing time information to analyze individual users forming a similar pattern for each individual user, And determining whether an abnormal health pattern is obtained through pattern analysis discrimination on the sensed data.
The control unit,
A sensing data classification and analysis unit for classifying and analyzing the sensed data transmitted from the sensor nodes and analyzing individual users having similar patterns to the sensed data;
A health pattern analyzer for analyzing patterns of newly sensed sensed data and previous health data of an individual user to determine whether an abnormal health pattern exists;
A sensor for calculating sensor node map information for all the sensor nodes by analyzing transmission information transmitted from a plurality of sensor nodes at the originating sensor node for the wireless signal and measurement information measured at the other sensor nodes, A node map calculator; And
And an action abnormality determination unit for analyzing the sensing information of the individual user received from the sensor nodes and analyzing the behavior pattern or the moving speed of the individual user with respect to the sensor node map information to determine whether the abnormal behavior pattern is an abnormal behavior pattern. Health management system using communication.
An analysis step for each sensed data classified by classification data including a data classification, a data value classification, and a sensing time with respect to the sensed data by the control unit;
An individual user pattern analysis step of analyzing an individual user constituting a similar pattern with respect to the classified and analyzed data by the control unit and updating the health data of the user; And
A health pattern analysis step of comparing the newly sensed data with a previously stored pattern for an individual user by the control unit to discriminate whether the abnormal health pattern is present;
And a control unit for controlling the health management system.
When the sensor node senses data for a user, the control unit sends a wireless signal when the sensor node senses it, and receives the wireless signal from a plurality of other sensor nodes, Lt; / RTI >
The controller unit stores sensor node pixel information including information of azimuth angles and reception times of the plurality of sensor nodes that received the wireless signal for the sensor node that transmitted the wireless signal, And analyzing the sensor node pixel information to calculate and store sensor node map information for all the sensor nodes, and storing the sensor node map information in the sensor node map information.
Analyzing behavior patterns and moving speeds of individual users by analyzing sensed data from a plurality of sensor nodes sensed in the sensing step by the control unit with respect to the sensor node map; And
In the behavior analysis step, when the behavior pattern or the analysis information of the movement speed for a predetermined period of time is different from the previous behavior pattern or the movement speed by a predetermined error range or more, a behavior pattern discrimination The method comprising the steps of:
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| KR20130122483A (en) | 2012-04-30 | 2013-11-07 | (주)이플랫폼 | Method of health management |
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| KR20130122483A (en) | 2012-04-30 | 2013-11-07 | (주)이플랫폼 | Method of health management |
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