CN109009147A - The terraced detection system of intelligent rehabilitation training and detection method - Google Patents
The terraced detection system of intelligent rehabilitation training and detection method Download PDFInfo
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- CN109009147A CN109009147A CN201810911740.9A CN201810911740A CN109009147A CN 109009147 A CN109009147 A CN 109009147A CN 201810911740 A CN201810911740 A CN 201810911740A CN 109009147 A CN109009147 A CN 109009147A
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- 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
- A61B5/112—Gait analysis
Abstract
Intelligent rehabilitation training ladder detection system and detection method of the present invention, detection system includes piezo-electric crystal force snesor, data acquisition filter chip, communication module and calculating analysis shows that module, the terraced lower surface of piezo-electric crystal force snesor setting training, the input terminal of data acquisition filter chip is connect with each piezo-electric crystal force snesor respectively, the output end of data acquisition filter chip is connect with communication device, and communication module is with calculating analysis shows that module input is connect.Detection method includes the following steps: data acquisition, data filtering and transmission, data time are sorted, descending stair data separation, calculating left and right foot supporting time, duration of oscillation, mean gravity and average speed, gait data store, estimating interface queries assessment result on the foot of left and right.The present invention can recovering aid doctor to the evaluation work of rehabilitation training person's daily life active ability, promote objectivity, the science of physiatrician's evaluation work.
Description
Technical field
The present invention relates to a kind of detection system, in particular to a kind of intelligent rehabilitation training ladder detection system and detection method.
Background technique
Current gait evaluation detection system is to capture walking in predetermined region by camera using vision technique
Kinematic parameter, by filtering to initial data, analyze, the experimenter be calculated or so the gait situation of foot.Current step
State system increases some simplicities compared with labelling point type, wearable device system, the working principle based on camera, rehabilitation doctor
It treats mechanism and needs to be equipped with specific environment ability examinations work, and this detection is single detection work, Mei Nengyu
The existing equipment of rehabilitation medical mechanism and evaluation work merge well, and it is tired in the shape for running every detection to mitigate the experimenter
State.
Summary of the invention
The object of the present invention is to provide a kind of terraced detection systems of intelligent rehabilitation training and detection method, system to directly acquire health
Multiple kinematic parameter of trainer during ability training, is analyzed according to detection method, is calculated in training process
Gait situation promotes physiatrician and comments with recovering aid doctor to the evaluation work of rehabilitation training person's daily life active ability
Estimate objectivity, the science of work.
The present invention to achieve the above object the technical solution adopted is that: a kind of terraced detection system of intelligent rehabilitation training, including
Piezo-electric crystal force snesor, data acquisition filter chip, communication module and calculating are analysis shows that module, piezo-electric crystal force snesor
The terraced lower surface of setting training, the input terminal of data acquisition filter chip are connect with each piezo-electric crystal force snesor respectively, and data are adopted
The output end of collection filtrating chip is connect with communication device, and communication module includes TCP module and router, TCP module input terminal and
The connection of data acquisition filter chip output, TCP module output end are connect with router input, router output and calculating
Analysis shows that module input connects.
It is that the present invention uses to achieve the above object another solution is that it is a kind of using above-mentioned intelligent rehabilitation training ladder inspection
The detection method of examining system, comprising the following steps: (one) data acquire: rehabilitation training person is acquired by piezo-electric crystal force snesor
Trample the pressure data of training ladder;(2) data filtering and transmission: believed by data acquisition filter based filtration by pressure simulation
Number switch to the interference value in pressure on the number signal process, ethernet module turned by RS232, pressure value is uploaded to communication module,
Ethernet conversion module is UDP, and client communication module does UDP server-side, and pressure value and time are passed to SQL in real time
Server database;(3) data time sort: calculate analysis shows that module by rehabilitation training person training ladder on training when without
The numerical value of sequence is ranked up by human cinology's rule, the reduction rehabilitation training person successive pass that data generate in the process of walking
System;(4) descending stair data separation on the foot of left and right: calculating analysis shows that the gait number that module will generate under various different walking manners
According to according to the regularity of distribution of pressure flat and human cinology's rule, it is left foot that analysis meter, which calculates the foot stepped down on pressure flat,
Or right crus of diaphragm, then the gait data for calculating analysis is stored in database table;(5) when calculating left and right foot supporting time, swinging
Between, mean gravity and average speed: to having distinguished left and right foot, upper descending stair and the gait data to have sorted according to human cinology's
Rule matches gait data with support phase, swing phase, by left and right foot support early stage, support latter stage, swings early stage, pendulum
The time in dynamic latter stage carries out analytical calculation, obtains the left and right foot supporting time of rehabilitation training person, duration of oscillation, mean gravity, puts down
Summation between equal speed is timely;(6) gait data stores: the data that step (5) is obtained are stored in database gait parameter result
Table;(7) estimating interface queries assessment result: calculating analysis shows that the touch screen of module inputs rehabilitation training person's information, reading
The gait data of database shows assessment result.
The further art scheme that the present invention uses to achieve the above object is: estimating interface queries assessment knot in step (7)
Fruit shows rehabilitation training person left and right foot bottom generates during the test each rank pressure and trend situation by histogram, leads to
It crosses curve graph and shows the foot force curve that each rank respectively walks, rehabilitation training person or so foot stair activity is shown by report form
Pressure, supporting time, duration of oscillation, speed difference and evaluation capacity result.
Intelligent rehabilitation training ladder detection system and detection method of the present invention have the following beneficial effects: in conjunction with rehabilitation medical machine
The existing evaluation work of structure and equipment, in rehabilitation training can automatic collection training data, and analyzed, instruction be calculated
Gait situation during white silk is promoted with recovering aid doctor to the evaluation work of rehabilitation training person's daily life active ability
Objectivity, the science of physiatrician's evaluation work reduce rehabilitation doctor without additionally specially opening an individually detection job again
The land occupation situation of structural establishment is treated, while it is tired in the state for running multinomial detection also to alleviate rehabilitation training person.
The terraced detection system of intelligent rehabilitation of the present invention training is further described with reference to the accompanying drawings and examples.
Detailed description of the invention
Fig. 1 is the gait cycle figure of normal person's walking of health;
Fig. 2 is the main view of training ladder;
Fig. 3 is the top view (the pressure flat mark that the number in figure is training ladder) of training ladder;
Fig. 4 is that (only display portion piezo crystals physical strength senses in figure for the structural block diagram of the terraced detection system of intelligent rehabilitation of the present invention training
Device);
Fig. 5 is the flow chart of the detection method of the terraced detection system of intelligent rehabilitation training of the present invention;
Fig. 6 is the flow chart that rehabilitation training is carried out using the terraced detection system of intelligent rehabilitation of the present invention training;
Fig. 7 be the calculating of the terraced detection system of invention intelligent rehabilitation training analysis shows that module operation interface schematic diagram.
Specific embodiment
As shown in figure 4, a kind of terraced detection system of intelligent rehabilitation training of the present invention, including piezo-electric crystal force snesor, data
Acquisition filter chip, communication module and calculating are analysis shows that module, the terraced lower surface of piezo-electric crystal force snesor setting training, data
Acquisition filter chip is hx711 ad chip, and the input terminal of data acquisition filter chip connects with each piezo-electric crystal force snesor respectively
It connects, the output end of data acquisition filter chip is connect with communication device, and communication module includes TCP module and router, TCP module
Input terminal is connect with data acquisition filter chip output, and TCP module output end is connect with router input, router output
End is with calculating analysis shows that module input is connect, and calculating is analysis shows that module is a computer.
A kind of detection method of the terraced detection system of intelligent rehabilitation training of the present invention, comprising the following steps:
(1) data acquire: acquiring the pressure data that rehabilitation training person tramples training ladder by piezo-electric crystal force snesor, read
The kinematic parameter generated in upper descending stair training process.
(2) pressure on the number data filtering and transmission: is switched to by pressure simulation signal by data acquisition filter based filtration
Interference value in signal process turns ethernet module by RS232 and pressure value is uploaded to communication module, Ethernet conversion module
The abbreviation that UDP(UDP is User Datagram Protocol is done, it is OSI(Open that Chinese name, which is User Datagram Protocol,
System Interconnection, open system interconnection) a kind of connectionless transport layer protocol in reference model, it provides
Simple unreliable information transmission service towards affairs, IETF RFC 768 is the formal specification of UDP.), client communication module
UDP server-side is done, pressure value (unit ox N) and time (unit millisecond) are passed to SQL Server database in real time.
(3) data time sequence: calculating analysis shows that the number that module is unordered in training on training ladder by rehabilitation training person
Value is ranked up by human cinology's rule, the reduction rehabilitation training person precedence relationship that data generate in the process of walking;Due to
During human body walking, sometimes both feet contact ground simultaneously, and a sometimes foot contacts a foot and swings, so left and right foot
The pressure value time generated to stair and sequence concurrent type frog, in addition the concurrent working value of multisensor, numerical value are passed to data
Library is unordered, it is therefore desirable to is ranked up unordered numerical value by human cinology's rule, reduction rehabilitation training person is walking
The precedence relationship that data generate in the process.
(4) descending stair data separation on the foot of left and right: calculating analysis shows that the step that module will generate under various different walking manners
State data, according to the regularity of distribution of pressure flat and human cinology's rule, analysis meter, which calculates the foot stepped down on pressure flat, is
Then the gait data for calculating analysis is stored in database table by left foot or right crus of diaphragm.Due in rehabilitation assessment, rehabilitation training
During person's stair activity, it is possible that walking against left or right side, so the arrangement of piezo-electric crystal force snesor, is equal
Be distributed in evenly training ladder each ladder on, three pressure flats of every ladder, 63 × 25cm of dynamometry area, it is specified that test when,
One foot, which can only be stepped on, steps on a dynamometry plate, after going on stair completely, can by defined walking manner, such as 121212,232323
Ground walking manner 1223 can also change the other side from side and walk, and there are many combination of way to get there, and same pressure flat exists left
The possibility that the right side is stepped on, it is therefore desirable to which the gait data that will be generated under various different walking manners, the distribution according to pressure flat are advised
Rule and human cinology's rule, it is left foot or right crus of diaphragm that analysis meter, which calculates the foot stepped down on pressure flat,.
(5) left and right foot supporting time, duration of oscillation, mean gravity and average speed are calculated: to distinguished left and right foot, on
Descending stair and gait data sort according to human cinology rule, in conjunction with gait cycle Fig. 1 of normal person's walking, gait
Data are matched with support phase, swing phase, by left and right foot support early stage, support latter stage, the time for swinging early stage, the latter stage of swing
Analytical calculation is carried out, obtains left and right foot supporting time, duration of oscillation, mean gravity, average speed and the time of rehabilitation training person
Summation;
(6) gait data stores: the data that step (5) is obtained are stored in database gait parameter result table;
(7) estimating interface queries assessment result: calculating analysis shows that the touch screen of module inputs rehabilitation training person's information, reading
The gait data of database out shows assessment result, is estimating interface queries assessment result in step (7), shown by histogram
Rehabilitation training person left and right foot bottom generates during the test each rank pressure and trend situation, show that each rank is each by curve graph
The foot force curve of step shows pressure, the supporting time, swing of rehabilitation training person or so foot stair activity by report form
Time, speed difference and evaluation capacity result.
Using a kind of terraced detection system of present invention intelligent rehabilitation training detection method process as shown in fig. 6, before can be direct
The essential information analysis shows that operation interface of module registration rehabilitation instruction person (as shown in Figure 7) is being calculated, is being inputted after register account number
Account logs in, in setting walking manner, such as 121212,232323 walking manner, rehabilitation instruction person in the upper Walking of training ladder,
Detection system saves gait initial data to table is collected, and calculates gait data according to detection method step (3) (four) (five) and saves
Into tables of data, that is, terminate to detect, needs to check that the display interface that testing result can be shown in Fig. 7 clicks corresponding touch screen position
, estimating interface queries assessment result, showing that left and right foot bottom generates rehabilitation training person during the test by histogram
Each rank pressure and trend situation, the foot force curve that each rank respectively walks is shown by curve graph, health is shown by report form
Pressure, supporting time, duration of oscillation, speed difference and the evaluation capacity result of multiple trainer or so foot stair activity.
Claims (3)
1. a kind of terraced detection system of intelligent rehabilitation training, which is characterized in that including piezo-electric crystal force snesor, data acquisition filter
Chip, communication module and calculating are analysis shows that module, the terraced lower surface of piezo-electric crystal force snesor setting training, data acquisition filter
The input terminal of chip is connect with each piezo-electric crystal force snesor respectively, and the output end and communication device of data acquisition filter chip connect
It connects, communication module includes TCP module and router, and TCP module input terminal is connect with data acquisition filter chip output, TCP
Module output end is connect with router input, and router output is with calculating analysis shows that module input is connect.
2. a kind of detection method of the terraced detection system of intelligent rehabilitation as described in claim 1 training, which is characterized in that including with
Lower step: the pressure data that rehabilitation training person tramples training ladder the acquisition of (one) data: is acquired by piezo-electric crystal force snesor;
(2) pressure on the number signal process data filtering and transmission: is switched to by pressure simulation signal by data acquisition filter based filtration
In interference value, ethernet module is turned by RS232, pressure value is uploaded to communication module, Ethernet conversion module is UDP, visitor
Family end communication module does UDP server-side, and pressure value and time are passed to SQL Server database in real time;(3) data time is arranged
Sequence: calculating analysis shows that module is carried out rehabilitation training person's numerical value unordered in training on training ladder by human cinology's rule
Sequence, the reduction rehabilitation training person precedence relationship that data generate in the process of walking;(4) descending stair data separation on the foot of left and right: meter
The gait data that display module will generate under various different walking manners, the regularity of distribution and human body according to pressure flat are analysed in point counting
Kinematics Law, it is left foot or right crus of diaphragm that analysis meter, which calculates the foot stepped down on pressure flat, then will calculate the gait data of analysis
It is stored in database table;(5) left and right foot supporting time, duration of oscillation, mean gravity and average speed are calculated: to distinguishing
Left and right foot, upper descending stair and the gait data that has sorted according to human cinology rule, gait data and support phase, swing phase
It is matched, the time in left and right foot support early stage, support latter stage, swing early stage, the latter stage of swing is subjected to analytical calculation, obtains health
Left and right foot supporting time, duration of oscillation, mean gravity, average speed and the temporal summation of multiple trainer;(6) gait data is deposited
Storage: the data that step (5) is obtained are stored in database gait parameter result table;(7) estimating interface queries assessment result: counting
The touch screen that display module is analysed in point counting inputs rehabilitation training person's information, reads the gait data of database, shows assessment result.
3. the detection method of the terraced detection system of intelligent rehabilitation training as claimed in claim 2, which is characterized in that in step (7)
Estimating interface queries assessment result, rehabilitation training person's each rank that left and right foot bottom generates during the test is shown by histogram
Pressure and trend situation show the foot force curve that each rank respectively walks by curve graph, show rehabilitation training by report form
Pressure, supporting time, duration of oscillation, speed difference and the evaluation capacity result of person or so foot stair activity.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN109924985A (en) * | 2019-03-29 | 2019-06-25 | 上海电气集团股份有限公司 | Lower limb rehabilitation device and based on its assessment device, method |
CN112933554A (en) * | 2021-02-04 | 2021-06-11 | 深圳市润谊泰益科技有限责任公司 | Balance ability rehabilitation training evaluation method and system and related products |
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JPH11333023A (en) * | 1998-05-29 | 1999-12-07 | Shoowa Kk | Foot sole stimulating type health promoting device and recording medium |
CN106175778B (en) * | 2016-07-04 | 2019-02-01 | 中国科学院计算技术研究所 | A kind of method that establishing gait data collection and gait analysis method |
CN106595912A (en) * | 2016-11-01 | 2017-04-26 | 中国海洋大学 | Real-time detection evaluation system for human foot dynamic mechanics and method |
CN107519618A (en) * | 2017-07-06 | 2017-12-29 | 中国科学院合肥物质科学研究院 | A kind of foot rehabilitation training equipment |
CN207384744U (en) * | 2017-11-07 | 2018-05-22 | 长垣蒲康医院 | A kind of Novel rehabilitation training combination ladder |
CN108371785A (en) * | 2018-05-02 | 2018-08-07 | 苏锦容 | Medical intelligent rehabilitation training ladder and its control method |
WO2019241172A1 (en) * | 2018-06-10 | 2019-12-19 | Moflex, LLC | Physical training and rehabilitation device and methods for using same |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN109924985A (en) * | 2019-03-29 | 2019-06-25 | 上海电气集团股份有限公司 | Lower limb rehabilitation device and based on its assessment device, method |
CN112933554A (en) * | 2021-02-04 | 2021-06-11 | 深圳市润谊泰益科技有限责任公司 | Balance ability rehabilitation training evaluation method and system and related products |
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Application publication date: 20181218 |