CN108670264A - System is monitored based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure - Google Patents
System is monitored based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure Download PDFInfo
- Publication number
- CN108670264A CN108670264A CN201810513008.6A CN201810513008A CN108670264A CN 108670264 A CN108670264 A CN 108670264A CN 201810513008 A CN201810513008 A CN 201810513008A CN 108670264 A CN108670264 A CN 108670264A
- Authority
- CN
- China
- Prior art keywords
- knee joint
- plantar pressure
- motion
- data
- monitoring unit
- 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.)
- Granted
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/1036—Measuring load distribution, e.g. podologic studies
- A61B5/1038—Measuring plantar pressure during gait
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
- A61B5/4528—Joints
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0247—Pressure sensors
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Dentistry (AREA)
- Physiology (AREA)
- Orthopedic Medicine & Surgery (AREA)
- Rheumatology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
System is monitored based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure the present invention relates to a kind of, including:Plantar pressure monitoring unit, the knee joint bending degree monitoring unit for obtaining user's knee joint bending degrees of data to be monitored and the central decision prewarning unit alarmed with knee joint bending degrees of data by calculating output according to the plantar pressure data of acquisition for obtaining user's plantar pressure data to be monitored;Central decision prewarning unit by result of calculation, judge the current motion of knee joint of user to be detected whether overload;If overload, the timely stop motion of sporter is notified by output alarm signal or replaces motion mode.The present invention constitutes wearable monitoring system using plantar pressure sensor group and arthrogryposis detector; it monitors in real time and estimates kneed movement stressing conditions; so as in excessive movement and alarm and professional athlete or sports fan be supervised to stop motion of knee joint, achieve the purpose that protect body.
Description
Technical field
It is especially a kind of to be transported based on the knee joint of arthrogryposis and plantar pressure the present invention relates to intelligent wearable device field
Dynamic fatigue strength monitors system.
Background technology
Due to excessive kneebend, such as runs, rides, meeting Accumulative damage knee joint, because of a knee joint of the invention
Sports fatigue degree monitor just seems very necessary.
Invention content
It is monitored based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure the purpose of the present invention is to provide a kind of
System, to overcome defect existing in the prior art.
To achieve the above object, the technical scheme is that:A kind of knee joint based on arthrogryposis and plantar pressure
Sports fatigue degree monitors system, including:For obtaining the plantar pressure monitoring unit of user's plantar pressure data to be monitored, being used for
It obtains the knee joint bending degree monitoring unit of user's knee joint bending degrees of data to be monitored and is supervised respectively with the plantar pressure
Unit is surveyed to match with the knee joint bending degree monitoring unit and according to the plantar pressure data of acquisition and the knee joint bending number of degrees
According to the central decision prewarning unit by calculating output alarm;The central decision prewarning unit judges to wait for by result of calculation
Detect user current motion of knee joint whether overload;If overload, sporter is notified to stop in time by output alarm signal
Only move or replace motion mode.
In an embodiment of the present invention, the plantar pressure monitoring unit includes:The pressure being set in the insole of vola passes
It sensor array, the pressure acquisition module being connected with the pressure sensor in the array of pressure sensors and is adopted with the pressure
Collect the first connected Bluetooth wireless communication module of module;The first Bluetooth wireless communication module and the central decision early warning list
Member will collect plantar pressure data and be uploaded to the central decision prewarning unit without lines matching.
The knee joint bending degree monitoring unit includes in an embodiment of the present invention:It is set at equal intervals and is worn on knee pass
Several strip curvature sensors at section in knee-pad and the knee joint bending degree acquisition with the strip curvature sensor
Module;The knee joint bending degree acquisition module, by bus wired connection, will be collected with the central decision prewarning unit
Knee joint bending degrees of data be uploaded to the central decision prewarning unit.
In an embodiment of the present invention the central decision prewarning unit include a central decision module and respectively with this
The second connected Bluetooth wireless communication module of central decision model and warning module;The second Bluetooth wireless communication module with
The plantar pressure monitoring unit is without lines matching, for receiving the plantar pressure data of the plantar pressure monitoring unit upload simultaneously
It is transmitted to the central decision module;The central decision module passes through bus and the knee joint bending degree acquisition module phase
Even, the knee joint bending degrees of data that the knee joint bending degree acquisition module uploads is received;The central decision module carries one
Whether pattern recognition model calculates current motion of knee joint according to the plantar pressure data of upload and knee joint bending degrees of data
Overload.
Whether the pattern recognition model calculates current motion of knee joint according to following steps in an embodiment of the present invention
Overload:
Step S1:The parameter g of reflection bending angle mean value is obtained in the following way:
Wherein, DiPass through the collected all strip curvature sensor values of joint flexion monitoring unit for moment i
Average knee flexion angles are as a result, i=1 ... n, tiFor DiThe duration of angle value, λ are regulation coefficient;
Step S2:The parameter A of reflection curvature effect is obtained in the following way:
Wherein, parameter μ and mathematic expectaion and standard deviation that σ is standardized normal distribution, parameter ω are default adjustment factor;
Step S3:The overall evaluation T for decision is obtained in the following way:
T=α W × β A × γ F;
Wherein, W is the maximum average pressure value obtained by plantar pressure monitoring unit, and F is the frequency of kneebend;α、
β, γ are default regulation coefficient;
Step S4:According to the upper limit threshold δ of pre-set motion of knee joint degree of fatigue, work as T>When δ, it is determined as that knee closes
Section movement overload.
Compared to the prior art, the invention has the advantages that:Due to the stressing conditions of knee joint during exercise with
The weight of human body and knee-sprung intensity and frequency are closely related, proposed by the present invention a kind of based on arthrogryposis and vola
The motion of knee joint fatigue strength of pressure monitors system, wearable using plantar pressure sensor group and arthrogryposis detector composition
Monitor monitors and estimates kneed movement stressing conditions in real time, so as in excessive movement and alarm and supervise specially
Industry sportsman or sports fan stop motion of knee joint, achieve the purpose that protect body.
Description of the drawings
Fig. 1 is plantar pressure monitoring unit schematic diagram in the present invention.
Fig. 2 is joint flexion monitoring unit schematic diagram in the present invention.
Fig. 3 is formula in the embodiment of the present invention (2) functional value tendency chart
Specific implementation mode
Below in conjunction with the accompanying drawings, technical scheme of the present invention is specifically described.
The present invention proposes that a kind of motion of knee joint fatigue strength based on joint flexion and plantar pressure monitoring monitors system,
Due to the chronic injury that excessive kneebend (such as run, ride) can cause joint, to influence the body of sporter
Health.Therefore, in excessive movement and alarm can reach the purpose of protection to make sporter stop kneebend in time.
This monitoring system includes:Plantar pressure monitoring unit, joint flexion monitoring unit and central decision alarm unit.It presses in vola
Power monitoring unit is communicated with central decision alarm unit by bluetooth communication module, joint flexion monitoring unit and center
Decision alarm unit passes through bus communication.The monitoring result that plantar pressure monitoring unit and joint flexion monitoring unit are obtained
Summarize to the central decision module in central decision alarm unit, to judge motion of knee joint according to pattern-recognition calculation formula
Whether overload, if overload by an alarm module notify the timely stop motion of sporter or replace motion mode.
In the present embodiment, the degree of the weight and arthrogryposis of kneed degree of fatigue and sporter, frequency are presented
Positive correlation, and the acquisition of the weight data of sporter is completed by plantar pressure monitoring unit.
In the present embodiment, plantar pressure monitoring unit includes:Be set to array of pressure sensors in the insole of vola, with
The connected pressure acquisition module of pressure sensor in array of pressure sensors and the first indigo plant being connected with pressure acquisition module
Tooth wireless communication module;First Bluetooth wireless communication module, without lines matching, will collect vola with central decision prewarning unit
Pressure data is uploaded to central decision prewarning unit.
Further, plantar pressure monitoring unit structure as shown in Figure 1, arrange pressure in the form of an array on one piece of insole
Sensor constitutes array of pressure sensors.The elastic deformation of compression can be expressed as faint change in electric by pressure sensor,
By the acquisition and analysis of plantar pressure acquisition module, digitized quantization value is obtained.Plantar pressure acquisition module is by microcontroller
(MCU) it constitutes, is amplified by signal, the processes such as analog-to-digital conversion obtain the number of plantar pressure with corresponding analog signal processing circuit
Word value.The value for being configured to multiple pressure sensors of array can be used for generating average value, improve the accuracy and robustness of monitoring.
Microcontroller in plantar pressure collecting unit is also communicated with the first blue tooth wireless communication module, and collection result is uploaded to center
The second bluetooth communication module in decision alarm unit, to finally enter central decision module.Plantar pressure acquisition module by
Lithium battery power supply, microcontroller use MSP430 super low-power consumption chips, portability and durability can be improved.
In the present embodiment, knee joint bending degree monitoring unit includes:It is set at equal intervals and is worn on knee-pad at knee joint
Interior several strip curvature sensors and the knee joint bending degree acquisition module with strip curvature sensor;Knee joint is curved
Curvature acquisition module, by bus wired connection, collected knee joint bending degrees of data is uploaded with central decision prewarning unit
To central decision prewarning unit.
Further, as shown in Fig. 2, joint flexion monitoring unit passes through the mounting bar sigmoid degree sensor on knee-pad
To realize the monitoring of knee flexion angles.The Bending Deformation of body can be expressed as faint telecommunications by strip curvature sensor
Number variation, by the acquisition and analysis of joint curvature acquisition module, obtain digitized quantization value.Cross joint curvature acquisition module by
Microcontroller (MCU) is constituted with analog signal processing circuit, can be amplified by signal, the processes such as analog-to-digital conversion obtain arthrogryposis
The digital value of angle.A plurality of curvature sensor, at being evenly spaced on, can usually arrange 4-10 items around knee-pad, calculate bending
Convenient for being averaged when spending, to improve the accuracy and robustness of monitoring.During bending degrees of data is sent into after being acquired by bus
Central decision module in heart decision alarm unit.
In an embodiment of the present invention, central decision prewarning unit include a central decision module and respectively with the center
The second connected Bluetooth wireless communication module of decision model and warning module;Second Bluetooth wireless communication module and plantar pressure
Monitoring unit is determined for receiving plantar pressure data that the plantar pressure monitoring unit uploads and being transmitted to center without lines matching
Plan module;Central decision module is connected by bus with knee joint bending degree acquisition module, is received knee joint bending degree and is acquired mould
The knee joint bending degrees of data that block uploads;Central decision module carries a pattern recognition model, according to the plantar pressure number of upload
According to this and knee joint bending degrees of data calculate current motion of knee joint whether overload.
In the present embodiment, central decision module is made of another piece of microcontroller (MCU) and its accessory circuit, can be used
ARM chips are constituted, which is also responsible for the second blue tooth wireless communication module of driving and is monitored to receive from plantar pressure
The plantar pressure digital value that unit is sent.
In the present embodiment, central decision mould pattern recognition model in the block carrys out COMPREHENSIVE CALCULATING in the following way, and
When motion of knee joint overload, pass through the alarm module alert in joint flexion monitoring unit, notice fortune
Dynamic person.
Step S1:The parameter g of reflection bending angle mean value is obtained in the following way:
Wherein, DiPass through the collected all strip curvature sensor values of joint flexion monitoring unit for moment i
Average knee flexion angles are as a result, i=1 ... n, angle system and Di≤ 90, tiFor DiThe duration of angle value, λ are that adjustment is
Number, is adjusted by customer engineer according to actual conditions, but need the result g of guarantee formula (1)>0.
Step S2:The parameter A of reflection curvature effect is obtained in the following way:
Wherein, parameter μ and mathematic expectaion and standard deviation that σ is standardized normal distribution, parameter ω are default adjustment factor, by
Customer engineer is adjusted according to actual conditions, but needs to ensure result A>0;Functional value tendency chart is as shown in Fig. 3, with
The value of the reduction of the expression quantity g of bending angle mean value, A will gradually increase, and increased amplitude also gradually increases, that is, is bent
Angle is bigger, then A's is bigger.
Step S3:The overall evaluation T for decision is obtained in the following way:
T=α W × β A × γ F;
Wherein, W is the maximum average pressure value obtained by plantar pressure monitoring unit, and F is the frequency of kneebend;α、
β, γ are default regulation coefficient, are adjusted according to actual conditions by customer engineer, for adjusting plantar pressure W, bending angle
Degree expression quantity A, kneebend frequency F the three weight shared in final decision, the final judging result value for calculating output are
T;
Step S4:According to the upper limit threshold δ of pre-set motion of knee joint degree of fatigue, work as T>When δ, it is determined as that knee closes
Section movement overload, will export warning message in time by alarm module, remind sporter's rest or change motion mode to protect
Knee-pad joint.
The above are preferred embodiments of the present invention, all any changes made according to the technical solution of the present invention, and generated function is made
When with range without departing from technical solution of the present invention, all belong to the scope of protection of the present invention.
Claims (5)
1. a kind of monitoring system based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure, which is characterized in that including:With
In the plantar pressure monitoring unit of acquisition user's plantar pressure data to be monitored, for obtaining user's knee joint bending degree to be monitored
It the knee joint bending degree monitoring unit of data and is supervised respectively with the plantar pressure monitoring unit and the knee joint bending degree
It surveys units match and is determined with knee joint bending degrees of data by calculating the center of output alarm according to the plantar pressure data of acquisition
Plan prewarning unit;Whether the central decision prewarning unit judges the current motion of knee joint of user to be detected by result of calculation
Overload;If overload, the timely stop motion of sporter is notified by output alarm signal or replaces motion mode.
2. according to claim 1 a kind of based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure monitoring system
System, which is characterized in that the plantar pressure monitoring unit includes:The array of pressure sensors being set in the insole of vola and institute
It states the connected pressure acquisition module of the pressure sensor in array of pressure sensors and is connected with the pressure acquisition module
First Bluetooth wireless communication module;The first Bluetooth wireless communication module and the central decision prewarning unit without lines matching,
Plantar pressure data will have been collected and be uploaded to the central decision prewarning unit.
3. according to claim 1 a kind of based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure monitoring system
System, which is characterized in that the knee joint bending degree monitoring unit includes:It is set to and is worn at knee joint in knee-pad at equal intervals
Several strip curvature sensors and knee joint bending degree acquisition module with the strip curvature sensor;The knee closes
Bent-segment degree acquisition module and the central decision prewarning unit are by bus wired connection, by collected knee joint bending degree
Data are uploaded to the central decision prewarning unit.
4. according to claim 1 a kind of based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure monitoring system
System, which is characterized in that the central decision prewarning unit include a central decision module and respectively with the central decision model
The second connected Bluetooth wireless communication module and warning module;The second Bluetooth wireless communication module and the plantar pressure
Monitoring unit without lines matching, for receive plantar pressure data that the plantar pressure monitoring unit uploads and be transmitted to it is described in
Heart decision-making module;The central decision module is connected by bus with the knee joint bending degree acquisition module, and the knee is received
The knee joint bending degrees of data that joint flexion acquisition module uploads;The central decision module carries a pattern recognition model,
According to the plantar pressure data of upload and knee joint bending degrees of data calculate current motion of knee joint whether overload.
5. according to claim 4 a kind of based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure monitoring system
System, which is characterized in that the pattern recognition model according to following steps calculate current motion of knee joint whether overload:
Step S1:The parameter g of reflection bending angle mean value is obtained in the following way:
Wherein, DiPass through the average knee of the collected all strip curvature sensor values of joint flexion monitoring unit for moment i
Joint flexion angle is as a result, i=1 ... n, tiFor DiThe duration of angle value, λ are regulation coefficient;
Step S2:The parameter A of reflection curvature effect is obtained in the following way:
Wherein, parameter μ and mathematic expectaion and standard deviation that σ is preset standard normal distribution, parameter ω are default adjustment factor;
Step S3:The overall evaluation T for decision is obtained in the following way:
T=α W × β A × γ F;
Wherein, W is the maximum average pressure value obtained by plantar pressure monitoring unit, and F is the frequency of kneebend;α、β、γ
To preset regulation coefficient;
Step S4:According to the upper limit threshold δ of pre-set motion of knee joint degree of fatigue, work as T>When δ, it is determined as that knee joint is transported
Dynamic overload.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810513008.6A CN108670264B (en) | 2018-05-25 | 2018-05-25 | Knee joint movement fatigue degree monitoring system based on joint bending and plantar pressure |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810513008.6A CN108670264B (en) | 2018-05-25 | 2018-05-25 | Knee joint movement fatigue degree monitoring system based on joint bending and plantar pressure |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108670264A true CN108670264A (en) | 2018-10-19 |
CN108670264B CN108670264B (en) | 2021-03-09 |
Family
ID=63808386
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810513008.6A Active CN108670264B (en) | 2018-05-25 | 2018-05-25 | Knee joint movement fatigue degree monitoring system based on joint bending and plantar pressure |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108670264B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110495896A (en) * | 2019-07-31 | 2019-11-26 | 武汉理工大学 | A kind of wearable knee joint monitoring device and monitoring method based on GPRS communication |
CN110755078A (en) * | 2019-10-29 | 2020-02-07 | 福建农林大学 | Knee joint movement fatigue evaluation prediction system and method based on confidence weighting |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE20015248U1 (en) * | 2000-09-01 | 2001-01-11 | Bultmann Arnulf | Device for real-time measurement of the weight load on the lower extremity |
WO2007012068A2 (en) * | 2005-07-20 | 2007-01-25 | New York Society For The Ruptured And Crippled Maintaining The Hospital For Special Surgery | Device for movement detection, movement correction and training |
CN104523234A (en) * | 2014-12-30 | 2015-04-22 | 深圳先进技术研究院 | Wrist band capable of monitoring conditions of joint damage and implementation method thereof |
CN107095677A (en) * | 2016-02-19 | 2017-08-29 | 财团法人资讯工业策进会 | gait analysis system and method |
CN107174253A (en) * | 2017-05-23 | 2017-09-19 | 广东远峰电子科技股份有限公司 | A kind of determination methods, the device and system of lower extremity movement posture |
CN107530024A (en) * | 2014-10-31 | 2018-01-02 | 斯威本科技大学 | Soft tissue management method and system |
-
2018
- 2018-05-25 CN CN201810513008.6A patent/CN108670264B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE20015248U1 (en) * | 2000-09-01 | 2001-01-11 | Bultmann Arnulf | Device for real-time measurement of the weight load on the lower extremity |
WO2007012068A2 (en) * | 2005-07-20 | 2007-01-25 | New York Society For The Ruptured And Crippled Maintaining The Hospital For Special Surgery | Device for movement detection, movement correction and training |
CN107530024A (en) * | 2014-10-31 | 2018-01-02 | 斯威本科技大学 | Soft tissue management method and system |
CN104523234A (en) * | 2014-12-30 | 2015-04-22 | 深圳先进技术研究院 | Wrist band capable of monitoring conditions of joint damage and implementation method thereof |
CN107095677A (en) * | 2016-02-19 | 2017-08-29 | 财团法人资讯工业策进会 | gait analysis system and method |
CN107174253A (en) * | 2017-05-23 | 2017-09-19 | 广东远峰电子科技股份有限公司 | A kind of determination methods, the device and system of lower extremity movement posture |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110495896A (en) * | 2019-07-31 | 2019-11-26 | 武汉理工大学 | A kind of wearable knee joint monitoring device and monitoring method based on GPRS communication |
CN110495896B (en) * | 2019-07-31 | 2022-04-29 | 武汉理工大学 | Wearable knee joint monitoring device and monitoring method based on GPRS communication |
CN110755078A (en) * | 2019-10-29 | 2020-02-07 | 福建农林大学 | Knee joint movement fatigue evaluation prediction system and method based on confidence weighting |
CN110755078B (en) * | 2019-10-29 | 2022-08-09 | 福建农林大学 | Knee joint movement fatigue evaluation prediction system and method based on confidence weighting |
Also Published As
Publication number | Publication date |
---|---|
CN108670264B (en) | 2021-03-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103271727B (en) | Realize the flexible sensing equipment that animals into heat judges and health status is classified | |
CN109480858A (en) | It is a kind of for quantify detect disturbances in patients with Parkinson disease bradykinesia symptom wearable intelligence system and method | |
JP2009500047A5 (en) | ||
CN110169756A (en) | A kind of no-induction sleep monitoring device and monitoring system | |
CN109171734A (en) | Human body behavioural analysis cloud management system based on Fusion | |
CN110987142A (en) | Portable foot-shaped foot pressure detector and measuring method | |
US20150088004A1 (en) | Method for monitoring an accurate heart rate | |
CN202681920U (en) | Dressing type physical sign monitor based on compressed sensing | |
CN209284398U (en) | A kind of Intelligent insole | |
CN110811553A (en) | Detection method for assistance efficiency of load exoskeleton | |
CN106037140A (en) | Intelligent sole and shoe for home-based care and tumble judging and alarming method | |
CN108670264A (en) | System is monitored based on arthrogryposis and the motion of knee joint fatigue strength of plantar pressure | |
US20200060546A1 (en) | A System and Method for Monitoring Human Performance | |
CN109394189A (en) | A kind of Intelligent wearable biological monitoring device of the continuous multi-parameter monitoring of non-invasive | |
CN108882866A (en) | The method and apparatus of urination for monitoring object | |
CN107019500A (en) | One kind endowment monitoring method and intelligence auxiliary endowment system | |
Jeong et al. | Classification of posture and movement using a 3-axis accelerometer | |
Dong et al. | Comparing metabolic energy expenditure estimation using wearable multi-sensor network and single accelerometer | |
CN105852866A (en) | Wearable sensing system and measuring method for knee-joint adduction torque measurement | |
CN111855013A (en) | Body temperature detection device and method based on environment temperature and humidity compensation | |
JP2007524468A (en) | Radiation stress type non-invasive blood pressure measurement method | |
CN108389363A (en) | A kind of tumble early warning system based on foot pressure distribution | |
CN102008309A (en) | Arm type heart pulse detecting device and detecting method | |
CN108903923B (en) | Health monitoring device, system and method | |
Sun et al. | Fall detection using plantar inclinometer sensor |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |