CN103536293A - Method for limiting time mode gait data analysis of gait training correction instrument measuring system - Google Patents
Method for limiting time mode gait data analysis of gait training correction instrument measuring system Download PDFInfo
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Abstract
The invention discloses a method for limiting time mode gait data analysis of a gait training correction instrument measuring system. The method comprises a first step of fixing an inertial sensor in the front of a calf or a thigh of a to-be-measured human body, a second step of enabling a terminal to collect gravity sensing value data of the inertial sensor, a third step of enabling the terminal to send the gravity sensing value data to a mainframe through a wireless communication module, a fourth step of enabling the mainframe to read the gravity sensing value data and preset walking time of the to-be-measured human body which is limiting time and manually inputting a walking distance, a fifth step of calculating gait parameters of the to-be-measured human body through gravity sensing values and a sixth step of storing treatment result data to a database of the mainframe. The gait data of the to-be-measured human body can be analyzed rapidly and accurately, reliable bases are provided for preparation of medical instruments and rehabilitation instruments, and accurate bases are also provided to help doctors judge gait presentation and make rehabilitation schemes.
Description
Technical field
The present invention relates to body gait data analysis, especially a kind of Time Attack Mode gait data analytical method of gait training correcting instrument measuring system.
Background technology
In these years due to the hemiplegic patient of caused by acute cerebrovascular diseases with because the hemiplegic patient due to traumatic marrow damage is more and more, and these diseases to patient caused the unthinkable spirit of normal person and the human body painful, and there is abnormal gait phenomenon.Gait is organization of human body and function, motor adjustment system, behavior and mental activity outward manifestation when walking, and wherein the dysfunction of certain system or some aspect, all can cause abnormal gait.Human Body Gait Analysis is the inspection method of researching human body walking rule, by analyzing the gait features such as wide, the sufficient drift angle of step-length, stride, leg speed, cadence, step, walking period of human body, can disclose the abnormal key link of body gait, influence factor, function etc., also can help doctor to judge to cause pathology gait reason, instruct doctor to formulate accurately therapeutic scheme, detect the recovery situation of patient in therapeutic process.
Traditional gait data analytical method is very simple, by collection, utilize the survey tools such as tape measure, stopwatch, protractor and can leave the step pitch that the respective articles of footmark records, calculate roughly the data such as leg speed, cadence, the gait feature of analysis is less, efficiency is lower and the accuracy analyzed is also poor.
The patent No. is the Chinese utility model of ZL201220603249.8, disclose the measuring system > > of a kind of < < based on gait training correcting instrument, it has thoroughly changed traditional backward situation that utilizes the survey tools such as tape measure, stopwatch, protractor to measure gait data.
Summary of the invention
The object of the invention is to: the Time Attack Mode gait data analytical method that a kind of gait training correcting instrument measuring system is provided, can analyze fast and accurately the gait data of human body to be measured, for preparing medical apparatus, rehabilitation device provides reliable basis, also can help doctor for the performance of judgement gait, formulate rehabilitation scheme accurate foundation be provided.
For achieving the above object, the present invention can take following technical proposals:
A kind of Time Attack Mode gait data analytical method of gait training correcting instrument measuring system, described gait training correcting instrument measuring system comprises: gait training correcting instrument and main frame, described gait training correcting instrument comprises: terminating machine and the inertial sensor being connected with described terminating machine, gait training correcting instrument and described main frame wireless connections, comprise the steps:
Step 1: inertial sensor is fixed on to the positive front portion of shank or the thigh of human body to be measured, makes swing of leg direction vertical tangent with inertial sensor sensitive surface, the gravity sensitive value of shank or thigh when responding to human body walking to be measured;
Step 2: described terminating machine gathers the gravity sensitive Value Data of inertial sensor;
Step 3: terminating machine is sent to main frame by wireless communication module by gravity sensitive Value Data;
Step 4: it is limiting time with the travel time of the human body to be measured of presetting that main frame reads gravity sensitive Value Data, manually inputs walking distance;
Step 5: calculate body gait parameter to be measured by gravity sensitive value
A. by gravity sensitive value, extrapolate the variation of human body shank angle to be measured:
G=A+K*COS (θ), wherein θ is shank angle, g is gravity sensed values, A, K is constant;
B. in the process of walking, along with shank periodic wobble, gravity sensitive value is " large → little → large " and periodically changes human body to be measured, and each cycle is chosen following crucial gauge point:
Gauge point N11 is that sensed values starts continuous rising, swings phase time started point,
Gauge point N12 is that inertia sensing value is greater than the time point that pulse-triggered is closed threshold values,
Gauge point N13 is maximum sensed values time point,
Gauge point N14 is that sensed values is opened the time point of threshold values lower than pulse-triggered,
Gauge point N15 be sensed values lower than the time point of standing state sensed values,
Gauge point N21 is that next cycle sensed values starts the swing phase starting point rising continuously,
……
:
Total step number: statistics crest and trough quantity, can obtain step number
Total walking time: the travel time of default human body to be measured
Cadence: total step number/total walking time
Walking period: gauge point N11 is a complete walking period to gauge point N21, and walking period is p=(N21-N11)
Average walking period: total walking time/total step number
Walking speed: walking distance is divided by total walking time
Step-length: walking speed * walking period
Average step length: total distance/total step number
Swing phase: gauge point N11 to N15 is this step swing phase
The average phase that swings: each step swings phase sum divided by total step number
The phase of standing: gauge point N15 to N21 is this step phase of standing
The phase of on average standing: each step is stood phase sum divided by total step number;
Step 6: preserve result data to the data base of main frame.
Before described step 5 is carried out, described main frame filters initial data, eliminates interfering signal.
Compared with prior art the invention has the beneficial effects as follows: owing to adopting technique scheme, inertial sensor is fixed on to the positive front portion of shank or the thigh of human body to be measured, make swing of leg direction vertical tangent with inertial sensor sensitive surface, the gravity sensitive value of shank or thigh while being used for responding to human body walking to be measured, by gravity sensitive value, can be fast, calculate accurately the swing of leg angle of human body to be measured, total step number, total walking time, cadence, walking period, average walking period, walking speed, step-length, average step length, swing phase, the average phase that swings, stand mutually and the equal gait parameter of on average standing, for preparing medical apparatus, rehabilitation device provides reliable basis, also can help doctor is the performance of judgement gait, formulate rehabilitation scheme valuable quantitative basis is provided.The analytical method of limiting time pattern, can input default travel time according to practical situation, can analyze at times the function of gait, understands human body to be measured after walking a period of time, the time dependent situation of gait.
Accompanying drawing explanation
Fig. 1 is the structural representation of gait training correcting instrument of the present invention;
Fig. 2 is that the angle of inertial sensor in Fig. 1 changes schematic diagram;
Fig. 3 is the relation at gravity sensitive value and swing of leg angle;
Fig. 4 is the dynamic schematic diagram of gravity sensitive value.
The specific embodiment
As shown in Figures 1 to 4, the Time Attack Mode gait data analytical method of a kind of gait training correcting instrument of the present invention measuring system, described gait training correcting instrument measuring system comprises: gait training correcting instrument and main frame, described gait training correcting instrument comprises: terminating machine 11 and the inertial sensor 12 being connected with described terminating machine, gait training correcting instrument and described main frame wireless connections, is characterized in that comprising the steps:
Step 1: inertial sensor 12 is fixed on to the positive front portion of shank or the thigh of human body to be measured, makes swing of leg direction vertical tangent with inertial sensor 12 sensitive surface, the gravity sensitive value of shank or thigh when responding to human body walking to be measured;
Step 2: described terminating machine 11 gathers the gravity sensitive Value Data of inertial sensor;
Step 3: terminating machine 11 is sent to main frame by wireless communication module by gravity sensitive Value Data;
Step 4: it is limiting time with the travel time of the human body to be measured of presetting that main frame reads gravity sensitive Value Data, manually inputs walking distance;
Step 5: calculate body gait parameter to be measured by gravity sensitive value
A. by gravity sensitive value, extrapolate the variation of human body shank angle to be measured:
G=A+K*COS (θ), wherein θ is shank angle, g is gravity sensed values, A, K is constant;
B. in the process of walking, along with shank periodic wobble, gravity sensitive value is " large → little → large " and periodically changes human body to be measured, and each cycle is chosen following crucial gauge point:
Gauge point N11 is that sensed values starts continuous rising, swings phase time started point,
Gauge point N12 is that inertia sensing value is greater than the time point that pulse-triggered is closed threshold values,
Gauge point N13 is maximum sensed values time point,
Gauge point N14 is that sensed values is opened the time point of threshold values lower than pulse-triggered,
Gauge point N15 be sensed values lower than the time point of standing state sensed values,
Gauge point N21 is that next cycle sensed values starts the swing phase starting point rising continuously,
……
:
Total step number: statistics crest and trough quantity, can obtain step number
Total walking time: the travel time of default human body to be measured
Cadence: total step number/total walking time
Walking period: gauge point N11 is a complete walking period to gauge point N21, and walking period is p=(N21-N11)
Average walking period: total walking time/total step number
Walking speed: walking distance is divided by total walking time
Step-length: walking speed * walking period
Average step length: total distance/total step number
Swing phase: gauge point N11 to N15 is this step swing phase
The average phase that swings: each step swings phase sum divided by total step number
The phase of standing: gauge point N15 to N21 is this step phase of standing
The phase of on average standing: each step is stood phase sum divided by total step number;
Step 6: preserve result data to the data base of main frame.
As preferably, before described step 5 is carried out, described main frame filters initial data, eliminates interfering signal.
For example, the test pattern of prescribing a time limit for 6 minutes, can be divided into 3 periods, and every two minutes is a period.Each above-mentioned gait parameter can be analyzed to each time period, meanwhile, above-mentioned each index of 6 minute whole time period can be analyzed.By comparing the gait parameter of each time period, can understand patient's muscle power, the time dependent situation of the indexs such as muscle strength.
Claims (2)
1. the Time Attack Mode gait data analytical method of a gait training correcting instrument measuring system, described gait training correcting instrument measuring system comprises: gait training correcting instrument and main frame, described gait training correcting instrument comprises: terminating machine and the inertial sensor being connected with described terminating machine, gait training correcting instrument and described main frame wireless connections, is characterized in that comprising the steps:
Step 1: inertial sensor is fixed on to the positive front portion of shank or the thigh of human body to be measured, makes swing of leg direction vertical tangent with inertial sensor sensitive surface, the gravity sensitive value of shank or thigh when responding to human body walking to be measured;
Step 2: described terminating machine gathers the gravity sensitive Value Data of inertial sensor;
Step 3: terminating machine is sent to main frame by wireless communication module by gravity sensitive Value Data;
Step 4: it is limiting time with the travel time of the human body to be measured of presetting that main frame reads gravity sensitive Value Data, manually inputs walking distance;
Step 5: calculate body gait parameter to be measured by gravity sensitive value
A. by gravity sensitive value, extrapolate the variation of human body shank angle to be measured:
G=A+K*COS (θ), wherein θ is shank angle, g is gravity sensed values, A, K is constant;
B. in the process of walking, along with shank periodic wobble, gravity sensitive value is " large → little → large " and periodically changes human body to be measured, and each cycle is chosen following crucial gauge point:
Gauge point N11 is that sensed values starts continuous rising, swings phase time started point,
Gauge point N12 is that inertia sensing value is greater than the time point that pulse-triggered is closed threshold values,
Gauge point N13 is maximum sensed values time point,
Gauge point N14 is that sensed values is opened the time point of threshold values lower than pulse-triggered,
Gauge point N15 be sensed values lower than the time point of standing state sensed values,
Gauge point N21 is that next cycle sensed values starts the swing phase starting point rising continuously,
……
:
Total step number: statistics crest and trough quantity, can obtain step number
Total walking time: the travel time of default human body to be measured
Cadence: total step number/total walking time
Walking period: gauge point N11 is a complete walking period to gauge point N21, and walking period is p=(N21-N11)
Average walking period: total walking time/total step number
Walking speed: walking distance is divided by total walking time
Step-length: walking speed * walking period
Average step length: total distance/total step number
Swing phase: gauge point N11 to N15 is this step swing phase
The average phase that swings: each step swings phase sum divided by total step number
The phase of standing: gauge point N15 to N21 is this step phase of standing
The phase of on average standing: each step is stood phase sum divided by total step number;
Step 6: preserve result data to the data base of main frame.
2. the Time Attack Mode gait data analytical method of gait training correcting instrument measuring system according to claim 1, is characterized in that:
Before described step 5 is carried out, described main frame filters initial data, eliminates interfering signal.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105320975A (en) * | 2014-05-26 | 2016-02-10 | 三菱电机株式会社 | Dynamic state management system |
| CN105581799A (en) * | 2014-11-10 | 2016-05-18 | 爱力实业股份有限公司 | Rehabilitation system suitable for posture stability evaluation and training |
| CN108697377A (en) * | 2016-01-25 | 2018-10-23 | 贝泰米亚公司 | gait analyzer system and method |
| CN110916984A (en) * | 2019-12-03 | 2020-03-27 | 上海交通大学医学院附属第九人民医院 | Wearable device for preventing frozen gait and implementation method thereof |
| CN111967366A (en) * | 2020-08-12 | 2020-11-20 | 华中科技大学鄂州工业技术研究院 | Method for evaluating rehabilitation condition of leg patient and walking-aid robot |
| CN112336590A (en) * | 2020-11-30 | 2021-02-09 | 北京精密机电控制设备研究所 | Power-assisted exoskeleton movement intention and gait planning method based on multi-sensing information |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202553940U (en) * | 2012-03-02 | 2012-11-28 | 应放天 | Gait analytical apparatus |
| CN102824177A (en) * | 2012-07-25 | 2012-12-19 | 王哲龙 | Three-dimensional human body gait quantitative analysis system and method |
| WO2013008707A1 (en) * | 2011-07-14 | 2013-01-17 | グローバルベイシック株式会社 | Physical characteristic measurement system and physical characteristic measurement method |
| US20130131555A1 (en) * | 2011-11-17 | 2013-05-23 | William R. Hook | Gait analysis using angular rate reversal |
| CN202960523U (en) * | 2012-11-15 | 2013-06-05 | 杭州共远科技有限公司 | Measurement system based on gait training rectifier |
-
2013
- 2013-11-06 CN CN201310544230.XA patent/CN103536293B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013008707A1 (en) * | 2011-07-14 | 2013-01-17 | グローバルベイシック株式会社 | Physical characteristic measurement system and physical characteristic measurement method |
| US20130131555A1 (en) * | 2011-11-17 | 2013-05-23 | William R. Hook | Gait analysis using angular rate reversal |
| CN202553940U (en) * | 2012-03-02 | 2012-11-28 | 应放天 | Gait analytical apparatus |
| CN102824177A (en) * | 2012-07-25 | 2012-12-19 | 王哲龙 | Three-dimensional human body gait quantitative analysis system and method |
| CN202960523U (en) * | 2012-11-15 | 2013-06-05 | 杭州共远科技有限公司 | Measurement system based on gait training rectifier |
Non-Patent Citations (5)
| Title |
|---|
| ION P. I. PAPPAS ET AL: "A Reliable Gait Phase Detection System", 《IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING》, vol. 9, no. 2, 30 June 2001 (2001-06-30), pages 113 - 125, XP011053769 * |
| ROLF MOE-NILSSEN ET AL: "Estimation of gait cycle characteristics by trunk accelerometry", 《JOURNAL OF BIOMECHANICS》, vol. 37, no. 1, 31 January 2004 (2004-01-31), pages 121 - 126, XP004895603, DOI: doi:10.1016/S0021-9290(03)00233-1 * |
| 刘蓉等: "基于步态加速度的步态分析研究", 《传感技术学报》, vol. 22, no. 6, 30 June 2009 (2009-06-30), pages 893 - 896 * |
| 李爽等: "基于加速度传感器的下肢运动信息获取方法", 《机电工程》, vol. 26, no. 1, 31 January 2009 (2009-01-31), pages 5 - 8 * |
| 翟文婷: "利用加速度传感器实现人体步态识别", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 7, 15 July 2013 (2013-07-15), pages 27 - 32 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105320975A (en) * | 2014-05-26 | 2016-02-10 | 三菱电机株式会社 | Dynamic state management system |
| CN105320975B (en) * | 2014-05-26 | 2018-04-27 | 三菱电机株式会社 | Dynamic management system |
| CN105581799A (en) * | 2014-11-10 | 2016-05-18 | 爱力实业股份有限公司 | Rehabilitation system suitable for posture stability evaluation and training |
| CN108697377A (en) * | 2016-01-25 | 2018-10-23 | 贝泰米亚公司 | gait analyzer system and method |
| CN110916984A (en) * | 2019-12-03 | 2020-03-27 | 上海交通大学医学院附属第九人民医院 | Wearable device for preventing frozen gait and implementation method thereof |
| CN111967366A (en) * | 2020-08-12 | 2020-11-20 | 华中科技大学鄂州工业技术研究院 | Method for evaluating rehabilitation condition of leg patient and walking-aid robot |
| CN111967366B (en) * | 2020-08-12 | 2022-10-21 | 华中科技大学鄂州工业技术研究院 | Method for evaluating rehabilitation condition of leg patient and walking-aid robot |
| CN112336590A (en) * | 2020-11-30 | 2021-02-09 | 北京精密机电控制设备研究所 | Power-assisted exoskeleton movement intention and gait planning method based on multi-sensing information |
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