CN111035390A - Quantitative assessment method for hand function rehabilitation based on human wrist back stretching action - Google Patents
Quantitative assessment method for hand function rehabilitation based on human wrist back stretching action Download PDFInfo
- Publication number
- CN111035390A CN111035390A CN201811189205.3A CN201811189205A CN111035390A CN 111035390 A CN111035390 A CN 111035390A CN 201811189205 A CN201811189205 A CN 201811189205A CN 111035390 A CN111035390 A CN 111035390A
- Authority
- CN
- China
- Prior art keywords
- wrist
- hand
- data
- patient
- quantitative
- 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.)
- Pending
Links
- 210000000707 wrist Anatomy 0.000 title claims abstract description 83
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000011156 evaluation Methods 0.000 claims abstract description 22
- 238000011158 quantitative evaluation Methods 0.000 claims abstract description 20
- 238000011084 recovery Methods 0.000 claims abstract description 18
- 230000001133 acceleration Effects 0.000 claims abstract description 14
- 238000012549 training Methods 0.000 claims abstract description 8
- 230000003287 optical effect Effects 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 11
- 238000012360 testing method Methods 0.000 claims description 7
- 210000000811 metacarpophalangeal joint Anatomy 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 6
- 238000005728 strengthening Methods 0.000 claims description 6
- 210000003857 wrist joint Anatomy 0.000 claims description 4
- 240000000736 Amomum maximum Species 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims 2
- 239000000284 extract Substances 0.000 abstract description 3
- 210000000623 ulna Anatomy 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 208000006011 Stroke Diseases 0.000 description 1
- 210000001142 back Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 210000003414 extremity Anatomy 0.000 description 1
- 210000000245 forearm Anatomy 0.000 description 1
- 210000004247 hand Anatomy 0.000 description 1
- 210000002411 hand bone Anatomy 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 210000000236 metacarpal bone Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000002221 olecranon process Anatomy 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
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
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
-
- 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
- A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
- A61B5/459—Evaluating the wrist
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Dentistry (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Veterinary Medicine (AREA)
- Medical Informatics (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Physiology (AREA)
- Physical Education & Sports Medicine (AREA)
- Orthopedic Medicine & Surgery (AREA)
- Rheumatology (AREA)
- Geometry (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention relates to a hand function recovery quantitative evaluation method based on hand wrist stretching action, which acquires hand skeleton and joint point information through hand function recovery quantitative evaluation equipment, extracts related position parameters, acquires average angular velocity, average angular acceleration and evaluation values of wrist stretching angle in the wrist stretching action motion process through the related position parameters, acquires quantitative description of the wrist stretching action of a patient in the recovery training process by taking a healthy hand of the patient as a reference object, objectively reflects the recovery degree of the hand function of the patient, and enables doctors and the patient to accurately know the recovery degree change of the affected hand in the treatment process.
Description
Technical Field
The invention relates to the technical field of rehabilitation assessment, in particular to a quantitative assessment method for hand function rehabilitation based on the back stretching action of a human wrist.
Background
In the current rehabilitation training scheme customization and implementation of stroke patients, qualitative rehabilitation degree evaluation is mainly carried out according to a Fugl-Meyer equal scale. However, the method mainly depends on the personal professional level of a rehabilitation doctor and judgment of the rehabilitation degree of the limb of the patient, and the treatment individuals have great diversity and strong subjectivity. Therefore, a quantitative evaluation mode of hand function is urgently needed, accurate quantitative data are provided and combined with a scale, and a basis is provided for a patient to make reasonable rehabilitation training.
At present, hand function detection is carried out according to the joints of the hand and the wrist of a human body and the movement characteristics of the joints. The wrist-back stretching motion is a representative evaluation motion in the hand function rehabilitation process. At present, most of detection methods at home and abroad use angle measuring instruments for angle measurement, and the requirements are as follows by combining with Fugl-Meyer equal scales:
a) the examinee takes the seat, the upper arm is placed on the side of the body, the elbow is bent, the forearm is completely rotated forward, and the palm is placed on the table with the palm downwards;
b) taking the ulna styloid process as a measuring fixed point;
c) aligning the zero point of the angle measuring instrument to the styloid process of the ulna, wherein the fixed arm is parallel to the longitudinal axis of the ulna and points to the olecranon;
d) the moving arm of the angle measuring instrument is parallel to the longitudinal axis of the fifth metacarpal bone;
e) the dorsum of the wrist joint extends to the maximum, and the maximum movement range is measured (the normal movement range is 0 to 70 degrees).
Fugl-Meyer equal scale indexes divide the wrist and back stretching action recovery degree into 0, 1 and 2 points respectively, wherein: a score of 0 indicates that the patient is unable to complete the action, a score of 1 indicates that the patient is able to partially complete the action, and a score of 2 indicates that the patient is able to normally complete the action.
The traditional assessment scale is a qualitative assessment scale, is general for action assessment, is wide in description range of recovery degree of specific actions, is difficult for a patient to accurately judge the recovery condition in one or more rehabilitation courses, is not beneficial to a doctor to adjust a rehabilitation training scheme, and is not beneficial to the patient to increase self-rehabilitation confidence.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a quantitative assessment method for hand function rehabilitation based on the back stretching action of the wrist of a human.
The purpose of the invention can be realized by the following technical scheme:
a hand function recovery quantitative evaluation method based on hand wrist back stretching motion comprises the steps of obtaining hand skeleton and joint point information through hand function recovery quantitative evaluation equipment, extracting relevant position parameters, obtaining evaluation values of average angular velocity, average angular acceleration and wrist back stretching angle in a wrist back stretching motion process through the relevant position parameters, and obtaining quantitative description of the wrist back stretching motion of a patient in a recovery training process by taking a healthy hand of the patient as a reference object. The method specifically comprises a quantitative assessment step of the wrist-back stretching action, an acquisition step of the assessment result of the wrist-back stretching action and a test step of a patient with the wrist-back stretching action.
Preferably, the quantitative assessment step of the wrist-dorsal extension movement comprises data acquisition, data preprocessing, assessment parameter processing and assessment result statistics.
The data acquisition obtains hand skeleton and each joint point information through hand function rehabilitation quantitative evaluation equipment, and extracts related position parameters, wherein the related position parameters comprise a middle finger metacarpal joint tip joint point coordinate A (X)1，Y1，Z1) Middle finger metacarpal joint end joint point coordinate B (X)2,,Y2,Z2) Vector along the direction of arm pointing to palm
The data preprocessing comprises the following steps:
1) obtaining the metacarpal direction vector of the middle finger
2) Obtaining wrist joint direction vector
3) Rotating the original coordinate system along the X axis to the Y axis by 45 degrees in the positive direction to obtain a coordinate system X ' OY ' Z ';
4) respectively take
Projection on the Y 'OZ' plane
The magnitude of the wrist extension angle θ is defined as:
the evaluation parameter processing comprises the following steps:
a.t, storing the coordinates of the points of the far end phalanx, the middle phalanx, the near end phalanx, the tip and the end joint of the metacarpophalangeal joint, the center of the palm, the middle point of the wrist, the direction vector of the palm, the normal vector of the palm and the dorsal extension angle theta of the wrist under the initial condition at the moment of 0;
b. when t is any time in the movement process, when the dorsal extension angle of the wrist is larger than 0 degree, storing the values of the coordinates of the distal phalanx, the middle phalanx, the proximal phalanx, the tip and the end joint point of the metacarpophalangeal joint, the palm center coordinate, the wrist midpoint coordinate, the wrist direction vector, the palm normal vector and the dorsal extension angle theta of the wrist when the dorsal extension angle of the wrist deflects by more than 1 degree;
c. when the movement reaches the maximum limit and returns to the initial position, stopping data acquisition, and storing the maximum value and the minimum value of the back extension angle in the movement process;
d. and acquiring data of the healthy hand and the affected hand for multiple times, taking the optimal result for storage, and evaluating the data.
The evaluation result statistics method comprises the following steps:
a. maximum wrist-back extension angle range difference: delta thetah＝θmax-θ0；
b. Angular velocity per 1 degree of deflection:
wherein: theta 'and t' are the angle and the recording time acquired by the current frame, theta1、t1Acquiring an angle and recording time for a previous frame;
c. average angular velocity per 1 degree of rotation during movement:
wherein: i is the deflection degree, N is the maximum deflection angle, and N is the total deflection degree;
d. angular acceleration of the wrist extension:
e. average angular acceleration per 1 degree of rotation during movement:
the acquisition mode of the quantitative evaluation result is as follows:
1) in the data processing process, the difference value of the maximum wrist-back extension angle range of the hand-exercising is delta thetahIn different rehabilitation periods of the same patient, the hand-strengthening data is used as the reference standard data of the patient, and if no secondary morbidity occurs, the hand-strengthening data is kept unchanged;
2) when the wrist back extension evaluation is carried out, the affected hand data of the patient are updated, and the maximum wrist back extension angle range difference delta theta of the currently evaluated affected hand is defineduAverage angular velocity
Average angular acceleration:
by calculation with the hand-exercising reference standard data, the following results were obtained:
3) the angle evaluation value is used as a main evaluation basis.
The patient testing step of the wrist-back stretching action specifically comprises the following steps:
a. the person to be tested adopts a sitting position, the upper arm is placed on the side of the body, the elbow is bent, the fingers at the hand part are closed, the joint position is naturally extended, and the hand function rehabilitation quantitative evaluation equipment is placed;
b. under the guidance of a doctor, a patient acquires and establishes hand-care data;
c. when the wrist back stretching angle is larger than 0 degree and the deflection of the wrist back stretching angle is larger than 1 degree in the motion process, storing hand position parameters and quantitative data information;
d. stopping data acquisition when the hand of the patient is back-extended from the initial position to the near-vertical position;
e. and c, repeating the steps c and d once, and collecting data twice.
Preferably, the quantitative evaluation equipment for hand function rehabilitation comprises two working areas which are arranged on the left and the right, wherein each working area is provided with an optical camera for recording the motion video of the current hand in real time and an optical capturing device for capturing and processing the skeleton and each joint point information of the hand in real time.
Compared with the prior art, the invention combines the existing computer vision and optical motion capture technology, captures and processes hand skeleton and each joint point information in real time through the optical capture equipment, takes the healthy hand of the patient as a reference object, respectively calculates and obtains the average angular velocity, the average angular acceleration and the evaluation value of the wrist back stretching angle in the wrist back stretching motion process, completes the quantitative description of the wrist back stretching motion of the patient in the rehabilitation training process, reflects the objective patient hand function recovery degree, and enables doctors and patients to accurately know the recovery degree change of the affected hand in the treatment process.
Drawings
FIG. 1 is a schematic flow chart of the steps of the method of the present invention for testing a patient with dorsiflexion motion;
FIG. 2 is a schematic view of the back extension of the wrist;
FIG. 3 is the wrist dorsal extension angle definition;
fig. 4 is a schematic diagram of a quantitative evaluation device for hand function rehabilitation.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
The invention relates to a quantitative assessment method for hand function rehabilitation based on human wrist back stretching actions, which comprises a quantitative assessment step for the wrist back stretching actions, an acquisition step for assessment results of the wrist back stretching actions and a test step for patients with the wrist back stretching actions.
The quantitative assessment step of the wrist-back stretching action comprises 4 parts which are data acquisition, data preprocessing, assessment parameter processing and assessment result statistics respectively.
The data acquisition of the quantitative assessment of the wrist-dorsal extension action accurately acquires information of hand bones and all joint points through optical action capturing equipment, and extracts relevant position parameters, wherein the relevant position parameters comprise the coordinates A (X) of joint points at the tips of middle metacarpal joints1，Y1，Z1) Middle finger metacarpal joint end joint point coordinate B (X)2,,Y2,Z2) Vector along the direction of arm pointing to palm
The data preprocessing process of the quantitative assessment of the wrist-dorsal extension action comprises the following steps:
1) obtaining the metacarpal direction vector of the middle finger
2) Obtaining wrist joint direction vector
3) Rotating the original coordinate system along the X axis to the Y axis by 45 degrees in the positive direction to obtain a coordinate system X ' OY ' Z ';
4) respectively take
Projection on the Y 'OZ' plane
The magnitude of the wrist extension angle θ is defined as:
the evaluation parameter processing of the quantitative evaluation of the wrist-back stretching motion comprises the following steps:
a.t, storing the coordinates of the points of the far end phalanx, the middle phalanx, the near end phalanx, the tip and the end joint of the metacarpophalangeal joint, the center of the palm, the middle point of the wrist, the direction vector of the palm, the normal vector of the palm and the dorsal extension angle theta of the wrist under the initial condition at the moment of 0;
b. when t is any time in the movement process, when the dorsal extension angle of the wrist is larger than 0 degree, storing the values of the coordinates of the distal phalanx, the middle phalanx, the proximal phalanx, the tip and the end joint point of the metacarpophalangeal joint, the palm center coordinate, the wrist midpoint coordinate, the wrist direction vector, the palm normal vector and the dorsal extension angle theta of the wrist when the dorsal extension angle of the wrist deflects by more than 1 degree;
c. when the movement reaches the maximum limit and returns to the initial position, stopping data acquisition, and storing the maximum value and the minimum value of the back extension angle in the movement process;
d. in order to avoid errors in single-action acquisition, multiple acquisition is completed in data acquisition of the healthy hand and the affected hand (2 groups of data acquisition are repeatedly performed in the embodiment), and the optimal result is stored, namely, the larger data is evaluated.
The statistical method of the evaluation result of the quantitative evaluation of the wrist-back stretching motion comprises the following steps:
a. maximum wrist-back extension angle range difference: delta thetah＝θmax-θ0；
b. Angular velocity per 1 degree of deflection:
wherein: theta 'and t' are the angle and the recording time acquired by the current frame, theta1、t1Acquiring an angle and recording time for a previous frame;
c. average angular velocity per 1 degree of rotation during movement:
wherein: i is the deflection degree, N is the maximum deflection angle, and N is the total deflection degree;
d. angular acceleration of the wrist extension:
e. average angular acceleration per 1 degree of rotation during movement:
secondly, the quantitative evaluation result acquisition mode is as follows:
1) in the data processing process, the difference value of the maximum wrist-back extension angle range of the hand-exercising is delta thetahIn different rehabilitation periods of the same patient, the hand-strengthening data is used as the reference standard data of the patient, and if no secondary morbidity occurs, the hand-strengthening data is kept unchanged;
2) when the wrist back extension evaluation is carried out, the affected hand data of the patient are updated, and the maximum wrist back extension angle range difference delta theta of the currently evaluated affected hand is defineduAverage angular velocity
Average angular acceleration:
by calculation with the hand-exercising reference standard data, the following results were obtained:
3) the angle evaluation value is used as a main evaluation basis, and has great clinical significance.
Thirdly, the testing step of the patient with the back stretching action comprises the following steps:
a. the person to be tested takes a sitting position, the upper arm is placed on the side of the body, the elbow is bent, fingers at the hand part are closed and the joint position naturally extends and is placed in the hand function rehabilitation quantitative evaluation equipment, as shown in fig. 4, the left and right sides of the hand function rehabilitation quantitative evaluation equipment are respectively provided with a working area, each working area is provided with an optical camera and an optical capturing device, the optical cameras and the optical capturing devices are respectively used for detecting the left hand and the right hand of the person to be tested, and data acquisition establishment is carried out on the healthy hand. The optical camera is used for recording the motion video of the current hand in real time.
b. Under the guidance of a doctor, a patient acquires and establishes hand-care data;
c. when the wrist back stretching angle is larger than 0 degree and the deflection of the wrist back stretching angle is larger than 1 degree in the motion process, storing hand position parameters and quantitative data information;
d. stopping data acquisition when the patient's hand is backed up from an initial position to an extreme position (near vertical);
e. and c, repeating the steps c and d once, and collecting data twice.
The invention calculates the information of the affected hand and the healthy hand of the patient based on the current rehabilitation evaluation standard. The method is characterized in that the existing computer vision and optical motion capturing technology is combined, hand skeleton and joint point information are captured and processed in real time through optical capturing equipment, the healthy hands of a patient are used as reference objects, the average angular velocity, the average angular acceleration and the evaluation value of the wrist back stretching angle in the wrist back stretching motion process are respectively calculated, the quantitative description of the wrist back stretching motion of the patient in the rehabilitation training process is completed, a doctor is assisted to diagnose the state of an illness, and assistance is provided for the doctor to treat the patient and the patient to recover himself.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and those skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A hand function recovery quantitative evaluation method based on hand wrist back stretching motion is characterized in that hand skeleton and joint point information are obtained through hand function recovery quantitative evaluation equipment, relevant position parameters are extracted, the average angular velocity, the average angular acceleration and the evaluation value of the wrist back stretching angle in the wrist back stretching motion process are obtained through the relevant position parameters, and the healthy hand of a patient is taken as a reference object to obtain the quantitative description of the wrist back stretching motion of the patient in the recovery training process.
2. The quantitative assessment method for hand function rehabilitation based on human wrist stretching motion as claimed in claim 1, characterized in that the method specifically comprises a quantitative assessment step for wrist stretching motion, an obtaining step for wrist stretching motion assessment result and a testing step for patient with wrist stretching motion.
3. The quantitative assessment method for hand function rehabilitation based on human wrist stretching motion as claimed in claim 2, wherein the said quantitative assessment step for wrist stretching motion comprises data collection, data preprocessing, assessment parameter processing and assessment result statistics.
4. The hand function recovery quantitative evaluation method based on human wrist back extension action as claimed in claim 3, wherein the data collection obtains hand skeleton and each joint point information through hand function recovery quantitative evaluation equipment to extract related position parameters, the related position parameters comprise middle finger metacarpal joint tip joint point coordinate A (X) and X1，Y1，Z1) Middle finger metacarpal joint end joint point coordinate B (X)2,,Y2,Z2) Vector along the direction of arm pointing to palm
5. The quantitative assessment method for hand function rehabilitation based on human wrist dorsal extension motion as claimed in claim 4, wherein the data preprocessing content is:
1) obtaining the metacarpal direction vector of the middle finger
2) Obtaining wrist joint direction vector
3) Rotating the original coordinate system along the X axis to the Y axis by 45 degrees in the positive direction to obtain a coordinate system X ' OY ' Z ';
4) respectively take
Projection on the Y 'OZ' plane
The magnitude of the wrist extension angle θ is defined as:
6. the quantitative assessment method for hand function rehabilitation based on the dorsal extension of the wrist of a human being as claimed in claim 5, wherein said evaluation parameter processing comprises the steps of:
a.t, storing the coordinates of the points of the far end phalanx, the middle phalanx, the near end phalanx, the tip and the end joint of the metacarpophalangeal joint, the center of the palm, the middle point of the wrist, the direction vector of the palm, the normal vector of the palm and the dorsal extension angle theta of the wrist under the initial condition at the moment of 0;
b. when t is any time in the movement process, when the dorsal extension angle of the wrist is larger than 0 degree, storing the values of the coordinates of the distal phalanx, the middle phalanx, the proximal phalanx, the tip and the end joint point of the metacarpophalangeal joint, the palm center coordinate, the wrist midpoint coordinate, the wrist direction vector, the palm normal vector and the dorsal extension angle theta of the wrist when the dorsal extension angle of the wrist deflects by more than 1 degree;
c. when the movement reaches the maximum limit and returns to the initial position, stopping data acquisition, and storing the maximum value and the minimum value of the back extension angle in the movement process;
d. and acquiring data of the healthy hand and the affected hand for multiple times, taking the optimal result for storage, and evaluating the data.
7. The quantitative assessment method for hand function rehabilitation based on human wrist dorsal extension action according to claim 6, characterized in that the method for evaluating result statistics is as follows:
a. maximum wrist-back extension angle range difference: delta thetah＝θmax-θ0；
b. Angular velocity per 1 degree of deflection:
wherein: theta 'and t' are the angle and the recording time acquired by the current frame, theta1、t1Corners obtained for previous frameDegree and recording time;
c. average angular velocity per 1 degree of rotation during movement:
wherein: i is the deflection degree, N is the maximum deflection angle, and N is the total deflection degree;
d. angular acceleration of the wrist extension:
e. average angular acceleration per 1 degree of rotation during movement:
8. the quantitative assessment method for hand function rehabilitation based on human wrist dorsal extension action according to claim 2, characterized in that the quantitative assessment result is obtained by the following method:
1) in the data processing process, the difference value of the maximum wrist-back extension angle range of the hand-exercising is delta thetahIn different rehabilitation periods of the same patient, the hand-strengthening data is used as the reference standard data of the patient, and if no secondary morbidity occurs, the hand-strengthening data is kept unchanged;
2) when the wrist back extension evaluation is carried out, the affected hand data of the patient are updated, and the maximum wrist back extension angle range difference delta theta of the currently evaluated affected hand is defineduAverage angular velocity
Average angular acceleration:
by calculation with the hand-exercising reference standard data, the following results were obtained:
3) the angle evaluation value is used as a main evaluation basis.
9. The quantitative assessment method for hand function rehabilitation based on human wrist stretching motion as claimed in claim 4, wherein said testing step for patients with wrist stretching motion specifically comprises the following steps:
a. the person to be tested adopts a sitting position, the upper arm is placed on the side of the body, the elbow is bent, the fingers at the hand part are closed, the joint position is naturally extended, and the hand function rehabilitation quantitative evaluation equipment is placed;
b. under the guidance of a doctor, a patient acquires and establishes hand-care data;
c. when the wrist back stretching angle is larger than 0 degree and the deflection of the wrist back stretching angle is larger than 1 degree in the motion process, storing hand position parameters and quantitative data information;
d. stopping data acquisition when the hand of the patient is back-extended from the initial position to the near-vertical position;
e. and c, repeating the steps c and d once, and collecting data twice.
10. The quantitative assessment method for hand function rehabilitation based on human wrist stretching motion of claim 9, characterized in that the quantitative assessment device for hand function rehabilitation comprises two working areas arranged left and right, each working area is provided with an optical camera for real-time recording the motion video of the current hand and an optical capturing device for real-time capturing and processing the hand skeleton and joint information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811189205.3A CN111035390A (en) | 2018-10-12 | 2018-10-12 | Quantitative assessment method for hand function rehabilitation based on human wrist back stretching action |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811189205.3A CN111035390A (en) | 2018-10-12 | 2018-10-12 | Quantitative assessment method for hand function rehabilitation based on human wrist back stretching action |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111035390A true CN111035390A (en) | 2020-04-21 |
Family
ID=70229658
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811189205.3A Pending CN111035390A (en) | 2018-10-12 | 2018-10-12 | Quantitative assessment method for hand function rehabilitation based on human wrist back stretching action |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111035390A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112205980A (en) * | 2020-10-16 | 2021-01-12 | 南开大学 | Method for evaluating hand action in deep brain electrical stimulation based on optical stereo measurement |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105832343A (en) * | 2016-05-22 | 2016-08-10 | 上海大学 | Multi-dimensional vision hand function rehabilitation quantitative evaluation system and evaluation method |
| CN105902273A (en) * | 2016-04-11 | 2016-08-31 | 上海大学 | Hand function rehabilitation quantitative evaluation method based on hand ulnar deviation motion |
| CN108185986A (en) * | 2016-12-08 | 2018-06-22 | 复旦大学附属华山医院 | The healing hand function quantitative evaluating method acted before being revolved based on human hand forearm |
| WO2018169111A1 (en) * | 2017-03-17 | 2018-09-20 | 한국생산기술연구원 | Hand rehabilitation device and virtual reality rehabilitation training system including same |
-
2018
- 2018-10-12 CN CN201811189205.3A patent/CN111035390A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105902273A (en) * | 2016-04-11 | 2016-08-31 | 上海大学 | Hand function rehabilitation quantitative evaluation method based on hand ulnar deviation motion |
| CN105832343A (en) * | 2016-05-22 | 2016-08-10 | 上海大学 | Multi-dimensional vision hand function rehabilitation quantitative evaluation system and evaluation method |
| CN108185986A (en) * | 2016-12-08 | 2018-06-22 | 复旦大学附属华山医院 | The healing hand function quantitative evaluating method acted before being revolved based on human hand forearm |
| WO2018169111A1 (en) * | 2017-03-17 | 2018-09-20 | 한국생산기술연구원 | Hand rehabilitation device and virtual reality rehabilitation training system including same |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112205980A (en) * | 2020-10-16 | 2021-01-12 | 南开大学 | Method for evaluating hand action in deep brain electrical stimulation based on optical stereo measurement |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Do Tran et al. | Kinematic measures for upper limb robot-assisted therapy following stroke and correlations with clinical outcome measures: A review | |
| Webster et al. | Experimental evaluation of Microsoft Kinect's accuracy and capture rate for stroke rehabilitation applications | |
| CN105832343B (en) | Multidimensional vision hand function rehabilitation quantitative evaluation system and evaluation method | |
| CN103417218A (en) | System and method for collecting and evaluating parameters of upper limb movement | |
| CN112057040B (en) | Upper limb movement function rehabilitation evaluation method | |
| CN110946556A (en) | Parkinson resting state tremor evaluation method based on wearable somatosensory network | |
| Kuo et al. | Functional workspace for precision manipulation between thumb and fingers in normal hands | |
| CN104887238A (en) | Hand rehabilitation training evaluation system and method based on motion capture | |
| CN107115102A (en) | A kind of osteoarticular function appraisal procedure and device | |
| CN105902273A (en) | Hand function rehabilitation quantitative evaluation method based on hand ulnar deviation motion | |
| CN111803099A (en) | Human upper limb muscle force prediction device and method based on radial basis function neural network | |
| Su et al. | Video-computer quantitative evaluation of thumb function using workspace of the thumb | |
| CN115346670A (en) | Parkinson's disease rating method based on posture recognition, electronic device and medium | |
| CN107049325B (en) | Novel wearable hand exoskeleton force-displacement real-time detection system and detection method | |
| Sgambato et al. | High Performance Wearable Ultrasound as a Human-Machine Interface for wrist and hand kinematic tracking | |
| CN107256390A (en) | The Functional evaluation device and method changed based on each position of hand in three-dimensional space position | |
| CN111035390A (en) | Quantitative assessment method for hand function rehabilitation based on human wrist back stretching action | |
| Fazeli et al. | Estimation of spatial-temporal hand motion parameters in rehabilitation using a low-cost noncontact measurement system | |
| Cejnog et al. | Hand range of motion evaluation for Rheumatoid Arthritis patients | |
| Yahya et al. | Real time elbow angle estimation using single RGB camera | |
| Li et al. | Development of finger motion reconstruction system based on leap motion controller | |
| Hasbani et al. | Simultaneous and proportional control of wrist and hand degrees of freedom with kinematic prediction models from high-density EMG | |
| CN108185986A (en) | The healing hand function quantitative evaluating method acted before being revolved based on human hand forearm | |
| CN115116125A (en) | Push-up examination method and implementation device thereof | |
| Rovini et al. | SensRing, a novel wearable ring-shaped device for objective analysis of reachto-grasp movements |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200421 |