CN204744132U - Long -range health detection and service system - Google Patents

Long -range health detection and service system Download PDF

Info

Publication number
CN204744132U
CN204744132U CN201520267671.4U CN201520267671U CN204744132U CN 204744132 U CN204744132 U CN 204744132U CN 201520267671 U CN201520267671 U CN 201520267671U CN 204744132 U CN204744132 U CN 204744132U
Authority
CN
China
Prior art keywords
unit
health
user
signal processing
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201520267671.4U
Other languages
Chinese (zh)
Inventor
吕品
张纯刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianchuang Technology (shanghai) Co Ltd Polymerization
Original Assignee
Tianchuang Technology (shanghai) Co Ltd Polymerization
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianchuang Technology (shanghai) Co Ltd Polymerization filed Critical Tianchuang Technology (shanghai) Co Ltd Polymerization
Priority to CN201520267671.4U priority Critical patent/CN204744132U/en
Application granted granted Critical
Publication of CN204744132U publication Critical patent/CN204744132U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The utility model relates to a long -range health detection and service system, including physiological parameters collection system, user's customer end, doctor's customer end and cloud service platform. Physiological parameters collection system is used for gathering user's one or more physiological parameters. User's customer end includes communication control unit, signal processing unit and uses the unit, and the communication control unit is used for carrying out the communication with physiological parameters collection system, and signal processing unit is used for handling the signal that physiological parameters collection system gathered, uses the unit and is used for controlling physiological parameters collection system's collection process and displays signal processing unit's result. Doctor's customer end includes querying element and consultation unit, and querying element is used for inquiring user's healthy archives, and the consultation unit is used for carrying out the interdynamic consultation with the user. Cloud service platform carries out the interdynamic with user's customer end and doctor's customer end. The utility model discloses can provide more low -cost and more reliable health detection and service.

Description

Remote health detects and service system
Technical field
This utility model relates to health supervision instrument field, particularly relates to remote health and detects and service system.
Background technology
Along with the development of society, people are more and more concerned about oneself health problem.In time, the physical condition detecting oneself easily becomes a kind of social need.The development pole the earth of electronic technology, computer technology and medical science detection technique facilitates the development of medical electronic apparatus, and modern medical detection technique can meet the detection demand of people to basic health.Such as, the digital medical detection technique such as body temperature, pulse, blood pressure, blood oxygen, electrocardio has been tending towards ripe.But existing medical detection system is due to expensive, complicated operation, be usually only equipped with in hospital or similar professional medical mechanism.Thing followed health consultation completes in professional medical mechanisms such as hospitals with service is also usual.Gather the data on user's body by medical treatment detection device and preserve, to form health detection report in the data importing of storage to analytical equipment afterwards, and doctor can based on testing result for user carries out health consultation and service after taking this part of health detection report.This aspectant method of service makes cost of serving very high.
For this reason, have some to may be used for family at present to carry out voluntarily detecting the instrument of physical signs.These instruments can detect some physical signs and represent to user.Such as, but these instruments all can only detect certain single physical signs, blood pressure or pulse.Once need detect and process multinomial physical signs, then the complexity of instrument rises rapidly.And the signal processing of some physical signs is very complicated, need a large amount of process resources.Once appliance requires is equipped with process resource accordingly, its cost will rise rapidly.Meanwhile, the testing result of Domestic health-care checkout equipment is not shared with doctor at present, and carries out the means of health consultation and service thus.
Along with the development of Internet technology, the health consultation carried out by the Internet and service are there is.But, scattered, the non-professional information that these health consultations and service provide with inquirer often judges, its reliability and accuracy cannot ensure, can only as a kind of auxiliary reference information.
At present, expect to provide a kind of cost lower and more reliable health detection and service.
Utility model content
Technical problem to be solved in the utility model is to provide a kind of remote health and detects and service system, can provide more low cost and more reliable health detection and service.
This utility model be solve the problems of the technologies described above the technical scheme adopted be a kind of remote health detect and service system, comprise physiological parameter acquisition device, subscription client, doctor's client and cloud service platform.Physiological parameter acquisition device is for gathering one or more physiological parameters of user.Subscription client comprises communication control unit, signal processing unit and applying unit, this communication control unit and this physiological parameter acquisition device carry out communication, the signal that this physiological parameter acquisition device collects processes by this signal processing unit, and this applying unit controls the gatherer process of this physiological parameter acquisition device and represents the result of this signal processing unit.Doctor's client comprises query unit and consulting unit, and the health account of this query unit inquiring user, this consulting unit and user carry out interactive consultation.This cloud service platform of cloud service platform and this subscription client carry out interaction with this doctor's client.
In an embodiment of the present utility model, this cloud service platform comprises administrative unit, manages the health account of user profile, user and operation.
In an embodiment of the present utility model, this cloud service platform comprises health evaluating unit, based on the detection data analysis assessment that this subscription client is submitted to.
In an embodiment of the present utility model, this health evaluating unit is based on the detection data of the subscription client submission of input, be processed into cohersive and integrated data by the basic model including blood pressure pulse wave analysis model, ecg analysis model and basic health and fitness information, then under the effect of decision model, decision management system, medical knowledge base and knowledge import system, form health evaluating report based on cohersive and integrated data.
In an embodiment of the present utility model, this cloud service platform comprises healthy tracking cell, and the history health data based on user carries out long-term tracking health care.
In an embodiment of the present utility model, this physiological parameter acquisition device comprises pulse wave sampler, signal processing unit in this subscription client comprises pulse wave signal processing unit, it comprises further: pulse wave signal filter unit, carries out Filtering Processing to remove catastrophe point to the pulse wave signal collected; And ciphering unit, by pulse wave data encryption packing.
In an embodiment of the present utility model, this pulse wave signal processing unit, comprises blood pressure calculation unit further, calculates pressure value based on oscillographic method.
In an embodiment of the present utility model, this blood pressure calculation unit carries out envelope diagram Gauss curve fitting, utilize amplitude characteristic ratios method determination mean pressure, high pressure and low pressure, then the mode of carrying out error compensation calculates pressure value.
In an embodiment of the present utility model, this physiological parameter acquisition device comprises singly leads electrocardiogram acquisition device, signal processing unit in this subscription client is ECG's data compression unit, it comprises further: Filtering of ECG Signal unit, carries out digital filtering and Wavelet Multiresolution Decomposition filtering to eliminate Hz noise, myoelectricity interference and baseline drift to the electrocardiosignal collected; Parameter extraction unit, extracts basic parameter from filtered electrocardiosignal; Data packetization unit, carries out data packing by basic parameter according to reference format.
This utility model contrast prior art has following beneficial effect: this utility model is by means of cloud computing, the Internet, mobile communication technology, with the physiological parameter acquisition device that the daily physiological parameter acquisition of family is core, by intelligent terminal as medium, by the data analysis in user data and high in the clouds, the Internet, health evaluating predicts and doctor's Health intervention organically combines, realize personalized health service and the large data management of Life cycle, the services such as the early monitoring of healthy aspect, prevention, consulting and health care are provided.
Accompanying drawing explanation
For above-mentioned purpose of the present utility model, feature and advantage can be become apparent, below in conjunction with accompanying drawing, detailed description of the invention of the present utility model is elaborated, wherein:
Fig. 1 shows remote health of the present utility model and detects the schematic diagram with the preferred embodiment of service system.
Fig. 2 A shows the refinement schematic diagram of customer mobile terminal.
Fig. 2 B shows the refinement schematic diagram of doctor's mobile terminal.
Fig. 2 C shows the refinement schematic diagram of cloud service platform.
Fig. 3 shows the schematic diagram of the first embodiment of signal processing unit.
Fig. 4 shows the schematic diagram of the second embodiment of signal processing unit.
Fig. 5 shows the schematic diagram of the 3rd embodiment of signal processing unit.
Fig. 6 shows oscillographic method blood pressure envelope schematic diagram.
Fig. 7 shows the frame diagram of health evaluating unit.
Fig. 8 shows remote health of the present utility model and detects the schematic diagram with the preferred embodiment of service procedure.
Detailed description of the invention
After the detailed description of reading embodiment of the present disclosure in conjunction with the following drawings, above-mentioned feature and advantage of the present utility model can be understood better.In the accompanying drawings, each assembly is not necessarily drawn in proportion, and the assembly with similar correlation properties or feature may have identical or close Reference numeral.
Fig. 1 shows remote health of the present utility model and detects the principle with the preferred embodiment of service system.Refer to Fig. 1, the remote health of the present embodiment detects and comprises physiological parameter acquisition device 1, subscription client 2, doctor's client 3 and cloud service platform 4 with service system.
Physiological parameter acquisition device 1 can be the hardware detection device of some lightweights.These devices only can comprise the sensor, auxiliary facilities, communication module and the power supply that gather needed for physiological parameter.Advantageously, these devices can comprise the process resource needed for physiological parameter that process gathers, such as, carry out the device of the signal processing such as filtering, correction, also need not comprise the device represented needed for visual physiological parameter.In the preferred embodiment, physiological parameter acquisition device 1 is implemented as some Wearable device, to improve portability.But being appreciated that conventional equipment kenel, such as box-like physiological parameter acquisition device 1 still within practical range of the present utility model, and designs due to the lightweight of device, and box-like physiological parameter acquisition device 1 can make less size.
In each embodiment of the present utility model, subscription client 2, doctor's client 3 are embodied as intelligent terminal usually, such as, be smart mobile phone, panel computer, personal computer, all-in-one or intelligent television etc. have the electronic equipment enriching computational resource.
Cloud service platform 4 can be embodied as server, and it is positioned on the Internet, has the ability of receiving the access of large handling capacity, the data storage and maintenance ability of abundant computing capability and magnanimity.
In connection, the communication between physiological parameter acquisition device 1 and subscription client 2 connects, and is generally short-range wireless telecommunications, and such as widely used bluetooth communication connects.For the consideration of energy savings, the Zigbee protocol of low-power consumption between physiological parameter acquisition device 1 and subscription client 2, can be selected to carry out communication.
Internet communication can be passed through between subscription client 2, doctor's client 3 and cloud service platform 4.Subscription client 2, doctor's client 3 can look the mode that its embodiment selects accessing Internet.Such as access in radio or wireless access.With wireless access, local internet can be selected to access or Cellular Networks access.
Operationally, physiological parameter acquisition device 1 carries out physiological parameter according to the corresponding module in the CCE of subscription client 2, such as the collection of blood pressure, pulse wave, electrocardiosignal etc., and without the need to carrying out complicated computing.Physiological parameter acquisition device 1 is by such as Bluetooth protocol and subscription client communication, and the instruction according to subscription client performs blood pressure measurement; Or fixing pressurization detects pulse wave, and the real-time pulse wave of correspondence is transferred to subscription client; Or the instruction according to subscription client performs electrocardiogram acquisition work, will implement ECG Data Transmission Based to subscription client.Subscription client then by Bluetooth protocol and physiological parameter acquisition device 1 communication, carries out signal processing to real-time pulse wave data or electrocardiogram (ECG) data, and can calculate pressure value based on oscillographic method.
Be understandable that, physiological parameter acquisition device 1 can have the ability of a collection physiological parameter, also can have the ability gathering multinomial physiological parameter.When physiological parameter acquisition device 1 has the ability gathering multinomial physiological parameter, can timesharing or simultaneously gather multinomial physiological parameter.
In context of the present utility model, various physiological parameter includes but not limited to: body temperature, pulse, blood pressure, blood oxygen, electrocardio.
Subscription client 2 can process the signal that physiological parameter acquisition device 1 transmits.For example, subscription client 2 carries out signal processing to real-time pulse wave data, and calculates pressure value based on oscillographic method.Subscription client 2 can also carry out alternately with cloud service platform 4, thus to carry out in following operation at least partially: upload user Detection Information, inquiring user health evaluating, query history health account, inquiry doctor service etc.
Doctor's client 3 can be carried out alternately with cloud service platform 4, thus the health account of inquiring user.Doctor's client 3 also can connect with subscription client 2, carries out consultancy service.In each embodiment of the present utility model, the mode of consultancy service includes but not limited to picture and text consulting, voice consulting and video consultations etc.
Cloud service platform 4 carries out interaction with subscription client 2 and doctor's client 3.Cloud service platform 4 can the user profile of maintenance customer and health account, receives Data Update and provides data access.Cloud service platform 4 is on the basis of user management, file administration, operation management, also can carry out comprehensive analysis and evaluation to the detection data that user submits to, prediction and the health care suggestion of cardiovascular health aspect are provided, analyze simultaneously and excavate history health data, carry out long-term tracking health care.
As shown in Figure 2 A, communication control unit 21, signal processing unit 22 and applying unit 23 is comprised further at subscription client 2.Communication control unit 21 is for carrying out communication with physiological parameter acquisition device 1.Signal processing unit 22 processes for the signal collected by physiological parameter acquisition device 1.Applying unit 23 is for controlling the gatherer process of physiological parameter acquisition device 1 and representing the result of signal processing unit 22, and result and cloud service platform 4 is mutual, user is detected data upload to cloud service platform 4 filing management.In embodiment of the present utility model, the part or all of of said units can be realized by the hardware of such as logic circuit.
In each embodiment of the present utility model, physiological parameter acquisition device 1 can comprise blood pressure sampler, one of pulse wave sampler or Electrocardial signal acquisition device part or its combination.
Due to the dependency of pulse wave collection and blood pressure measurement, physiological parameter acquisition device 1 can be embodied as and can gather pulse wave data and Measure blood pressure.Accordingly, the signal processing unit 22 in subscription client 2 can comprise pulse wave signal processing unit, and its principle is shown in Figure 3.
Pulse wave signal processing unit comprises pulse wave signal filter unit 51, blood pressure calculation unit 52 and ciphering unit 53.The pulse wave signal collected is carried out Filtering Processing, to remove catastrophe point by pulse wave signal filter unit 51.Blood pressure calculation unit 52 calculates pressure value based on such as oscillographic method.Specifically, blood pressure calculation unit 52 carries out envelope diagram Gauss curve fitting, and utilize amplitude characteristic ratios method determination mean pressure, high pressure and low pressure, then the mode of carrying out error compensation calculates pressure value, the diagram of oscillographic method as shown in Figure 6.Finally by ciphering unit 53, pulse wave data is encrypted packing.
When physiological parameter acquisition device 1 is embodied as collection pulse wave data and Measure blood pressure, it is as follows with the interactive step of subscription client 2:
First physiological parameter acquisition device 1 powers on, and sets up such as bluetooth be connected with subscription client 2.Then subscription client 2 instruction blood pressure measurement.Perform instruction by physiological parameter acquisition device 1, close valve stepping pressurization, the real-time pulse wave of synchronous acquisition also transfers to subscription client 2, until complete instruction task, valve opening is exitted.Pulse wave under subscription client 2 command detection fixation pressure.Physiological parameter acquisition device 1 performs instruction, and light valve is forced into specified pressure, gathers real-time pulse wave and transfers to subscription client 2.Subscription client 2 order fulfillment, terminate to gather and transmission, valve opening is exitted.
The correlation unit of subscription client 2 mainly comprises three hierarchical structures: application layer, data Layer and protocol layer.Wherein protocol layer is responsible for carrying out data handshakes and exchange with physiological parameter acquisition device 1, and the live signal that data Layer is responsible for physiological parameter acquisition device 1 gathers processes, and application layer is then responsible for control survey process and result presentation etc.
Physiological parameter acquisition device 1 also may be embodied as to have singly leads electrocardiogram acquisition function.Correspondingly, the signal processing unit 22 in subscription client 2 can comprise ECG's data compression unit, and its principle is shown in Figure 4.
ECG's data compression unit comprises Filtering of ECG Signal unit 61, parameter extraction unit 62 and data packetization unit 63 further.Filtering of ECG Signal unit 61 carries out digital filtering and Wavelet Multiresolution Decomposition filtering to eliminate Hz noise, myoelectricity interference and baseline drift to the electrocardiosignal collected.Parameter extraction unit 62 extracts basic parameter from filtered electrocardiosignal, and basic parameter comprises amplitude, QRS ripple location and identification etc.Basic parameter is carried out data packing according to reference format by data packetization unit 63.
In addition, if physiological parameter acquisition device is blood pressure and pulse wave collecting device and the combination singly leading electrocardiogram acquisition equipment, the signal processing unit of its correspondence also comprises pulse wave signal processing unit and ECG's data compression unit, as shown in Figure 5.The inside principle of pulse wave signal processing unit and ECG's data compression unit is the same, does not repeat them here.
As shown in Figure 2 B, doctor's client 3 can comprise query unit 31 and consulting unit 32, and wherein query unit 31 is for the health account of inquiring user, and consulting unit 32 is for carrying out interactive consultation with user.In embodiment of the present utility model, the part or all of of said units can be realized by the hardware of such as logic circuit.
Application in doctor's client 3 is for doctor provides specialty independently doctors and patients' diagnosis and treatment man machine interface, the inquiring task of management doctor, the detection of patient and archives of seeking medical advice, the basic portal service such as doctors and patients are social.Meanwhile, doctor's client 3 is by the index of correlation of slow sick, the subhealth state patient of the evaluation function examination of cloud service, and doctor can the abnormal alarm thresholding of setting target targetedly, or formulates personalized chronic diseases management scheme.
Cloud service platform 4 be collection user behavior, detect data, the platform of the health data such as history, health evaluating high concentration of seeking medical advice.As shown in Figure 2 C, cloud service platform 4 can comprise administrative unit 41, health evaluating unit 42 and healthy tracking cell 43.Health account and the operation of administrative unit 41 pairs of user profile, user manage.
The detection data analysis assessment that health evaluating unit 42 is submitted to based on subscription client 2.Specifically, as shown in Figure 7, health evaluating unit 42 is based on the detection data of the subscription client submission of input, be processed into cohersive and integrated data by the basic model including blood pressure pulse wave analysis model, ecg analysis model and basic health and fitness information, then under the effect of decision model, decision management system, medical knowledge base and knowledge import system, form health evaluating report based on cohersive and integrated data.Health evaluating unit 42 is that using artificial intellectual technology carrys out simulative medicine expert clinical thinking process, knowledge and clinical experience is examined by comprehensive various medical science inspection, and self-learning function, build and comprise based on the relevant basic model of the assessment models, ecg analysis model, the basic health account information of user etc. of blood pressure pulse wave analysis, and gather the Comprehensive Model that aforementioned information sets up.Preliminary assessment can be carried out to the Health Status of Cardiovascular System of user based on health evaluating unit 42, thus user is provided more personalized Health & Fitness Tip, also the basic health of doctor to user is facilitated to have preliminary understanding, in conjunction with clinical formulation Health intervention scheme more targetedly.
Healthy tracking cell 43 carries out long-term tracking health care based on the history health data of user.
Fig. 8 shows remote health of the present utility model and detects the schematic diagram with the preferred embodiment of service procedure.Shown in figure 8, flow process comprises:
Step 801, gathers one or more physiological parameters of user at physiological parameter acquisition device;
Step 802, at user profile and the health account of cloud service platform maintenance customer, receives Data Update and provides data access;
Following steps are performed at subscription client:
Step 803, controls the gatherer process of one or more physiological parameter;
Step 804, receiving package is containing the acquired signal of this one or more physiological parameter;
Step 805, processes this acquired signal;
Step 806, represents the result of acquired signal;
Step 807, carries out detecting data with upload user alternately with this cloud service platform;
In doctor's client executing following steps:
Step 808, access cloud service platform is with the health account of inquiring user;
Step 809, connects subscription client to carry out interactive consultation with user.
Concrete details with reference to the embodiment of Domestic health-care detection system, no longer can launch at this.
Embodiment of the present utility model is by means of cloud computing, the Internet, mobile communication technology, the healthy equipment of the portable Wearable being core with the daily physiological parameter acquisition of family, by intelligent terminal as medium, by the data analysis in user data and high in the clouds, the Internet, health evaluating predicts and doctor's Health intervention organically combines, realize personalized health service and the large data management of Life cycle, the services such as the early monitoring of healthy aspect, prevention, consulting and health care are provided.
By cloud computing, mobile and large data, services mode, it is virtual, magnanimity calculates and the characteristic such as on-demand service is variation, personal health service that is personalized and dispersion fragment type brings good technology opportunity.Meanwhile, based on the development of the Telemedicine System of the Internet, the standard of medical data information exchange and opening is also made to obtain support.Along with the hardware of intelligent terminal and the continuous renewal of operating system are regenerated, the real time signal processing no longer difficulty of some physiological parameters, therefore the hardware detection of lightweight is treated as possibility in conjunction with the convenient of mobile intelligent terminal, thus reduces the cost of checkout equipment further.
In one embodiment, the detection that health detecting system of the present utility model carries out can not be for diagnostic purpose, and therefore the physiological parameter of health detecting system can make an explanation according to the intention of non-diagnostic object.Some can be directly used in the physiological parameter of diagnostic purpose can not within the detection range of health detecting system of the present utility model.
In another kind of embodiment, the detection that health detecting system of the present utility model carries out can be for diagnostic purpose with or not for diagnostic purpose.Now, physiological parameter of the present utility model can make an explanation according to the intention of diagnostic purpose and/or non-diagnostic object.When for diagnostic purpose, some can be directly used in the physiological parameter of diagnostic purpose can within the detection range of health detecting system of the present utility model.When not for diagnostic purpose, some can be directly used in the physiological parameter of diagnostic purpose can not within the detection range of health detecting system of the present utility model.
Although this utility model describes with reference to current specific embodiment, but those of ordinary skill in the art will be appreciated that, above embodiment is only used to this utility model is described, change or the replacement of various equivalence also can be made when not departing from this utility model spirit, therefore, as long as all will drop in the scope of claims of the application the change of above-described embodiment, modification in spirit of the present utility model.

Claims (9)

1. remote health detects and a service system, it is characterized in that comprising:
Physiological parameter acquisition device, for gathering one or more physiological parameters of user;
Subscription client, comprise communication control unit, signal processing unit and applying unit, this communication control unit is used for carrying out communication with this physiological parameter acquisition device, this signal processing unit is used for the signal that this physiological parameter acquisition device collects to process, and this applying unit is for controlling the gatherer process of this physiological parameter acquisition device and representing the result of this signal processing unit;
Doctor's client, comprise query unit and consulting unit, this query unit is used for the health account of inquiring user, and this consulting unit is used for and user carries out interactive consultation; And
Cloud service platform, this cloud service platform and this subscription client carry out interaction with this doctor's client.
2. remote health according to claim 1 detects and service system, and it is characterized in that, this cloud service platform comprises administrative unit, manages the health account of user profile, user and operation.
3. remote health according to claim 1 detects and service system, and it is characterized in that, this cloud service platform comprises health evaluating unit, based on the detection data analysis assessment that this subscription client is submitted to.
4. remote health according to claim 3 detects and service system, it is characterized in that, this health evaluating unit is based on the detection data of the subscription client submission of input, be processed into cohersive and integrated data by the basic model including blood pressure pulse wave analysis model, ecg analysis model and basic health and fitness information, then under the effect of decision model, decision management system, medical knowledge base and knowledge import system, form health evaluating report based on cohersive and integrated data.
5. remote health according to claim 1 detects and service system, and it is characterized in that, this cloud service platform comprises healthy tracking cell, and the history health data based on user carries out long-term tracking health care.
6. remote health according to claim 1 detects and service system, and it is characterized in that, this physiological parameter acquisition device comprises pulse wave sampler, and the signal processing unit in this subscription client comprises pulse wave signal processing unit, and it comprises further:
Pulse wave signal filter unit, carries out Filtering Processing to remove catastrophe point to the pulse wave signal collected; And
Ciphering unit, by pulse wave data encryption packing.
7. remote health according to claim 6 detects and service system, and it is characterized in that, this pulse wave signal processing unit, comprises blood pressure calculation unit further, calculates pressure value based on oscillographic method.
8. remote health according to claim 7 detects and service system, and it is characterized in that, this blood pressure calculation unit carries out envelope diagram Gauss curve fitting, utilize amplitude characteristic ratios method determination mean pressure, high pressure and low pressure, then the mode of carrying out error compensation calculates pressure value.
9. remote health according to claim 1 detects and service system, and it is characterized in that, this physiological parameter acquisition device comprises singly leads electrocardiogram acquisition device, and the signal processing unit in this subscription client is ECG's data compression unit, and it comprises further:
Filtering of ECG Signal unit, carries out digital filtering and Wavelet Multiresolution Decomposition filtering to eliminate Hz noise, myoelectricity interference and baseline drift to the electrocardiosignal collected;
Parameter extraction unit, extracts basic parameter from filtered electrocardiosignal;
Data packetization unit, carries out data packing by basic parameter according to reference format.
CN201520267671.4U 2015-04-28 2015-04-28 Long -range health detection and service system Active CN204744132U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201520267671.4U CN204744132U (en) 2015-04-28 2015-04-28 Long -range health detection and service system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201520267671.4U CN204744132U (en) 2015-04-28 2015-04-28 Long -range health detection and service system

Publications (1)

Publication Number Publication Date
CN204744132U true CN204744132U (en) 2015-11-11

Family

ID=54458897

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201520267671.4U Active CN204744132U (en) 2015-04-28 2015-04-28 Long -range health detection and service system

Country Status (1)

Country Link
CN (1) CN204744132U (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105373709A (en) * 2015-12-22 2016-03-02 杭州法尔斯科技有限公司 Health service system based on Bluetooth
CN106137152A (en) * 2015-04-28 2016-11-23 天创聚合科技(上海)有限公司 Remote health detection and method of servicing and system thereof
CN107890338A (en) * 2017-09-22 2018-04-10 杭州爱上伊文化创意有限公司 A kind of breast development data collecting system and its underwear
CN109480828A (en) * 2018-12-24 2019-03-19 深圳市瑞康宏业科技开发有限公司 A kind of ecg information processing method, device, computer installation and storage medium
WO2022246979A1 (en) * 2021-05-26 2022-12-01 南京微纳科技研究院有限公司 Detection system based on optical waveguide sensor, method, device, and storage medium

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106137152A (en) * 2015-04-28 2016-11-23 天创聚合科技(上海)有限公司 Remote health detection and method of servicing and system thereof
CN105373709A (en) * 2015-12-22 2016-03-02 杭州法尔斯科技有限公司 Health service system based on Bluetooth
CN105373709B (en) * 2015-12-22 2018-03-20 杭州法尔斯科技有限公司 A kind of health services system based on bluetooth
CN107890338A (en) * 2017-09-22 2018-04-10 杭州爱上伊文化创意有限公司 A kind of breast development data collecting system and its underwear
CN109480828A (en) * 2018-12-24 2019-03-19 深圳市瑞康宏业科技开发有限公司 A kind of ecg information processing method, device, computer installation and storage medium
WO2022246979A1 (en) * 2021-05-26 2022-12-01 南京微纳科技研究院有限公司 Detection system based on optical waveguide sensor, method, device, and storage medium

Similar Documents

Publication Publication Date Title
Raj et al. HEMAN: Health monitoring and nous: An IoT based e-health care system for remote telemedicine
CN102054118B (en) A kind of Telemedicine System
Ru et al. A detailed research on human health monitoring system based on internet of things
US8620418B1 (en) Systems and methods for processing and displaying patient electrocardiograph data
CN204744132U (en) Long -range health detection and service system
CN105701358A (en) Health data acquiring and analyzing system based on cloud platform
US20130231947A1 (en) Mobile System with Network-Distributed Data Processing for Biomedical Applications
CN106137152A (en) Remote health detection and method of servicing and system thereof
CN104239415A (en) Health information data monitoring system and monitoring method thereof
CN104158914A (en) Family-oriented remote urine-detecting and health-counseling service system and method
Gao et al. Design and tests of a smartphones-based multi-lead ECG monitoring system
CN105931166A (en) Family ward system based on health IoT
Liu et al. eBPlatform: An IoT-based system for NCD patients homecare in China
CN105117583B (en) Personal health analysis system based on population physiology data
CN106503453A (en) Medical management system based on cloud service
El Attaoui et al. Wearable wireless sensors network for ECG telemonitoring using neural network for features extraction
Miao et al. Mobihealthcare system: Body sensor network based m-health system for healthcare application
CN109949934A (en) A kind of calculation method using AI algorithm evaluation health states
KR20180106099A (en) System and method for managing personalized health data based on web
CN202950649U (en) Portable electronic health monitoring instrument
CN203290884U (en) Intelligent hand-held terminal oriented to community medical service
CN105395173A (en) Remote pulse condition monitoring system
CN206601740U (en) A kind of health monitoring cloud system analyzed based on big data
Abdulwahid Modern application of internet of things in healthcare system
CN104274162A (en) Mobile terminal based monitoring equipment

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant