Hand fine movement function rehabilitation evaluation method and system

Abstract

The invention discloses a hand fine movement function rehabilitation assessment method and a hand fine movement function rehabilitation assessment system, and belongs to the technical field of cerebral apoplexy rehabilitation assessment and computers. The system processor is in data connection with an acquisition unit, an acquisition signal processing unit, an attention control unit, an evaluation unit, an interaction unit and a report generation unit, and the acquisition unit is in signal connection with the acquisition signal processing unit. Through the system and the method, the assessment precision of the motion function of the patient can be effectively improved, then a treatment scheme is accurately adjusted, rehabilitation of the fine motion function of the hand of the patient can be improved, and through the interaction unit and the report generation unit, people can conveniently and visually see a rehabilitation assessment curve graph of the fine motion function of the hand, and the rehabilitation efficiency is improved. The system can automatically generate an evaluation report including key indexes, data analysis results, suggestions and the like, and the rehabilitation confidence of the patient is improved.

Description

Technical Field

[0001] The present invention relates to the field of stroke rehabilitation assessment and computer technology, and more specifically, to a hand fine motor function rehabilitation assessment method and system. Background Art

[0002] Stroke is a common cerebrovascular disease, usually caused by rupture or blockage of cerebral blood vessels, resulting in damage to brain tissue. This often leads to varying degrees of hand motor dysfunction in patients. Therefore, rehabilitation assessment of hand motor function is the core content of stroke recovery. However, the commonly used assessment methods are complex to operate and have low assessment accuracy, which makes it impossible for patients to intuitively see the rehabilitation effect. At the same time, it takes up a long time for patients, which makes patients resist rehabilitation treatment and reduces their confidence in rehabilitation.

[0003] For example, the method and system for hand fine motor function rehabilitation assessment disclosed in Publication No. CN118924283A include: collecting tactile force change signals and multi-channel brain blood oxygen change signals when the subject performs hand test movements; performing adaptive sliding average filtering on the tactile force change signals, and removing noise and motion artifacts from the multi-channel brain blood oxygen change signals; performing feature extraction on the processed tactile force change signals to obtain tactile force feature parameters; and selecting some channels with higher attention importance scores in the processed brain blood oxygen change signals through a self-attention mechanism.

[0004] It can be seen from the above technical solution that the evaluation system method is manual and rough, and cannot accurately and finely collect the fine motor function of the hand through the acquisition module, which will reduce the accuracy of the evaluation of the rehabilitation of the fine motor function of the hand, and then cause errors in adjusting the treatment plan, reducing the rehabilitation effect, and at the same time making it impossible for patients and their families to intuitively see the rehabilitation evaluation effect within a certain period, which will undermine the patient's confidence in rehabilitation. Summary of the invention

[0005] In view of the problems existing in the prior art, the purpose of the present invention is to provide a method and system for evaluating the rehabilitation of fine motor function of the hands. The method and system can effectively improve the evaluation accuracy of the patient's motor function, and then accurately adjust the treatment plan, which is helpful to improve the rehabilitation of the patient's fine motor function of the hand. Through the interactive unit and the report generation unit, people can intuitively see the fine motor function rehabilitation evaluation curve chart of the hand. The system will automatically generate an evaluation report containing key indicators, data analysis results, suggestions and other contents, thereby improving the patient's confidence in rehabilitation.

[0006] To solve the above problems, the present invention adopts the following technical solutions.

[0007] A hand fine motor function rehabilitation evaluation system comprises an evaluation system, wherein the evaluation system is provided with a system processor and a storage, wherein the system processor is data-connected with an acquisition unit, an acquisition signal processing unit, an attention control unit, an evaluation unit, an interaction unit and a report generation unit, wherein the acquisition unit is signal-connected with the acquisition signal processing unit, wherein the acquisition unit is provided with a hand motion acquisition module and a brain function acquisition module, wherein the hand motion acquisition module is provided with a tactile force acquisition module, wherein the brain function acquisition module is provided with a cerebral blood oxygen acquisition module, wherein the tactile force acquisition module and the cerebral blood oxygen acquisition module are both provided with a plurality of signal connection lines and a signal acquisition head, wherein the acquisition signal processing unit is provided with a tactile force change signal processing module and a cerebral blood oxygen change signal processing module, wherein the hand fine motor function rehabilitation evaluation method and system can effectively improve the evaluation accuracy of the patient's motor function through the system and method, thereby accurately adjusting the treatment plan, and thus helping to improve the rehabilitation of the patient's hand fine motor function, and through the interaction unit and the report generation unit, it is convenient for people to intuitively see a hand fine motor function rehabilitation evaluation curve chart, wherein the system automatically generates an evaluation report containing key indicators, data analysis results, suggestions and the like, and thus improving the patient's rehabilitation confidence.

[0008] Furthermore, the tactile force acquisition module is provided with a thumb-to-finger change signal acquisition module, a fingertip-to-finger change signal acquisition module, a three-finger pinch change signal acquisition module, a cylindrical grip change signal acquisition module, a pinch measurement change signal acquisition module and a fist clench change signal acquisition module, which can accurately and finely acquire the tactile force change signals of hand fine movements.

[0009] Furthermore, the cerebral blood oxygen signal acquisition module is provided with cerebral blood oxygen signal acquisition channel 1, cerebral blood oxygen signal acquisition channel 2, cerebral blood oxygen signal acquisition channel 3 and cerebral blood oxygen signal acquisition channel N, which can accurately and finely acquire the cerebral blood oxygen change signal.

[0010] Furthermore, the attention control unit is provided with a change signal analysis module, a change signal scoring module and a change signal feature extraction module. The attention control unit is connected to the data of the acquisition signal processing unit and can analyze, compare and score the tactile force change signal and the cerebral blood oxygen change signal data.

[0011] Furthermore, the evaluation unit is provided with a finger force evaluation module and a brain function evaluation module, and the finger force evaluation module and the brain function evaluation module are data-connected with the change signal feature extraction module, so that data of a high attention scoring function can be extracted.

[0012] Furthermore, the interactive unit is provided with an automatic chart generation module and a visual display module. The automatic chart generation module is provided with a preset chart template to facilitate the generation and display of evaluation data charts and to facilitate inquiries by patients' families.

[0013] Furthermore, the report generation unit is provided with a report automatic generation module and a report export module. The report automatic generation module is provided with an intelligent analysis module, which can automatically generate an exported evaluation report containing key indicators, data analysis results, suggestions and other contents.

[0014] Furthermore, the cerebral blood oxygen change signal processing module is provided with a noise removal module and a motion artifact processing module, which can remove noise and motion artifacts from the cerebral blood oxygen change signal.

[0015] Furthermore, the tactile force change signal processing module is provided with a filtering processing module, which can perform average filtering processing on the tactile force change signal.

[0016] An evaluation method of a hand fine motor function rehabilitation evaluation system of the present invention is characterized by comprising the following steps:

[0017] First, fix the thumb-to-finger change signal acquisition module, fingertip-to-finger change signal acquisition module, three-finger pinch change signal acquisition module, cylindrical grip change signal acquisition module, pinch measurement change signal acquisition module and fist clench change signal acquisition module set in the tactile force acquisition module on the patient's limbs through the acquisition heads;

[0018] Then, connect the collection heads of brain blood oxygen signal collection channel 1, brain blood oxygen signal collection channel 2, brain blood oxygen signal collection channel 3 and brain blood oxygen signal collection channel N set in the brain blood oxygen collection module to the patient's body;

[0019] Then, the tactile force acquisition module and the brain blood oxygen acquisition module are connected to the evaluation system signal through the signal connection line, and then the patient's hand fine movement tactile force change signal and brain blood oxygen change signal are collected;

[0020] Then, the collected tactile force change signal and cerebral blood oxygen change signal are respectively processed by the tactile force change signal processing module and the cerebral blood oxygen change signal processing module for average filtering and denoising and artifact processing;

[0021] Then, the processed change signal is analyzed and scored by the change signal analysis module, the change signal scoring module and the change signal feature extraction module to extract feature information;

[0022] Then, the extracted feature information is compared and evaluated with the feature data in the database through the finger force evaluation module and the brain function evaluation module, and then an evaluation chart is generated;

[0023] Then, the evaluation report is generated based on the generated evaluation chart data information. At the same time, key indicators, data analysis results, suggestions, etc. are automatically given when the report is produced.

[0024] Compared with the prior art, the advantages of the present invention are:

[0025] (1) The present invention can effectively improve the assessment accuracy of the patient's motor function through the system and method, and then accurately adjust the treatment plan, which is helpful to improve the rehabilitation of the patient's fine motor function of the hand.

[0026] (2) The present invention uses an interactive unit and a report generation unit to facilitate people to intuitively see the hand fine motor function rehabilitation assessment curve chart. The system will automatically generate an assessment report containing key indicators, data analysis results, suggestions, etc., to enhance the patient's confidence in rehabilitation. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is the overall structural diagram of the present invention;

[0028] Figure 2 for Figure 1 The structural block diagram of the tactile force acquisition module;

[0029] Figure 3 for Figure 1 The structural block diagram of the cerebral blood oxygen acquisition module;

[0030] Figure 4 for Figure 1 The structural block diagram of the acquisition signal processing unit;

[0031] Figure 5 for Figure 1 The structural block diagram of the attention control unit;

[0032] Figure 6 for Figure 1 Block diagram of the evaluation unit.

[0033] Description of the numbers in the figure:

[0034] 1 Evaluation system, 2 System processor, 3 Acquisition unit, 31 Hand motion acquisition module, 32 Brain function acquisition module, 33 Tactile force acquisition module, 331 Thumb finger to finger change signal acquisition module, 332 Fingertip finger to finger change signal acquisition module, 333 Three-finger pinch change signal acquisition module, 334 Cylindrical grip change signal acquisition module, 335 Pinch change signal acquisition module, 336 Fist change signal acquisition module, 34 Brain blood oxygen acquisition module, 341 Brain blood oxygen signal acquisition channel 1, 342 Brain blood oxygen signal acquisition channel 2, 343 Brain blood oxygen signal acquisition channel 3, 344 Brain blood oxygen signal No. acquisition channel N, 4 acquisition signal processing unit, 41 tactile force change signal processing module, 411 filtering processing module, 42 brain blood oxygen change signal processing module, 421 noise removal module, 422 motion artifact processing module, 5 attention control unit, 51 change signal analysis module, 52 change signal scoring module, 53 change signal feature extraction module, 6 evaluation unit, 61 finger force evaluation module, 62 brain function evaluation module, 7 interaction unit, 71 chart automatic generation module, 72 visualization display module, 8 report generation unit, 81 report automatic generation module, 82 report export module. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Example 1

[0037] See also Figure 1-6A hand fine motor function rehabilitation evaluation system includes an evaluation system 1, which is provided with a system processor 2 and a storage device. The storage device can store the collected data, evaluation reports and patient information in a database to facilitate data analysis and comparison. The system processor 2 is connected to a collection unit 3, a collection signal processing unit 4, an attention control unit 5, an evaluation unit 6, an interaction unit 7 and a report generation unit 8. The interaction unit 7 is provided with a chart automatic generation module 71 and a visual display module 72. The chart automatic generation module 71 is provided with a chart preset template to facilitate the generation and display of evaluation data charts and to facilitate inquiries by patients' families. The report generation unit 8 is provided with a report automatic generation module 81 and a report export module 82. The report automatic generation module 81 is provided with an intelligent recognition analysis module to automatically generate a key indicator for the exported evaluation report. The acquisition unit 3 is connected with the acquisition signal processing unit 4 by signal. The acquisition unit 3 is provided with a hand motion acquisition module 31 and a brain function acquisition module 32. The hand motion acquisition module 31 is provided with a tactile force acquisition module 33. The brain function acquisition module 32 is provided with a brain blood oxygen acquisition module 34. Both the tactile force acquisition module 33 and the brain blood oxygen acquisition module 34 are provided with multiple signal connection lines and signal acquisition heads. The acquisition signal processing unit 4 is provided with a tactile force change signal processing module 41 and a brain blood oxygen change signal processing module 42. The tactile force change signal processing module 41 is provided with a filtering processing module 411, which can perform average filtering processing on the tactile force change signal. The brain blood oxygen change signal processing module 42 is provided with a denoising module 421 and a motion artifact processing module 422, which can denoise and remove motion artifacts on the brain blood oxygen change signal.

[0038] The tactile force acquisition module 33 is provided with a thumb-to-finger change signal acquisition module 331, a fingertip-to-finger change signal acquisition module 332, a three-finger pinch change signal acquisition module 333, a cylindrical grip change signal acquisition module 334, a pinch change signal acquisition module 335 and a fist change signal acquisition module 336, which can accurately and finely acquire the tactile force change signals of the hand fine movements. The brain blood oxygen acquisition module 34 is provided with a brain blood oxygen signal acquisition channel 1 341, a brain blood oxygen signal acquisition channel 2 342, a brain blood oxygen signal acquisition channel 3 343 and a brain blood oxygen signal acquisition channel N 344. The brain blood oxygen signal acquisition channel is multi-channel, which can accurately and finely acquire the brain blood oxygen change signals.

[0039] The attention control unit 5 is provided with a change signal analysis module 51, a change signal scoring module 52 and a change signal feature extraction module 53. The attention control unit 5 is data-connected with the acquisition signal processing unit 4, and can analyze, compare and score the tactile force change signal and the brain blood oxygen change signal data. The evaluation unit 6 is provided with a finger force evaluation module 61 and a brain function evaluation module 62. The finger force evaluation module 61 and the brain function evaluation module 62 are data-connected with the change signal feature extraction module 53, and can extract data of the high attention scoring function.

[0040] An evaluation method of a hand fine motor function rehabilitation evaluation system of the present invention is characterized by comprising the following steps:

[0041] S1. First, the thumb-to-finger change signal acquisition module 331, the fingertip-to-finger change signal acquisition module 332, the three-finger pinch change signal acquisition module 333, the cylindrical grip change signal acquisition module 334, the pinch measurement change signal acquisition module 335 and the fist clench change signal acquisition module 336 set in the tactile force acquisition module 33 are fixed on the patient's limbs through the respective acquisition heads;

[0042] S2, then connect the collection heads of the brain blood oxygen signal collection channel 1 341, the brain blood oxygen signal collection channel 2 342, the brain blood oxygen signal collection channel 3 343 and the brain blood oxygen signal collection channel N 344 provided in the brain blood oxygen collection module 34 to the patient's body;

[0043] S3, then connect the acquisition heads of the tactile force acquisition module 33 and the cerebral blood oxygen acquisition module 34 to the evaluation system 1 through the signal connection line, and then collect the tactile force change signal of the patient's hand fine movement and the cerebral blood oxygen change signal;

[0044] S4, then the collected tactile force change signal and cerebral blood oxygen change signal are respectively processed by the tactile force change signal processing module 41 and the cerebral blood oxygen change signal processing module 42 for average filtering and denoising and artifact processing;

[0045] S5, then the processed change signal is analyzed and scored by the change signal analysis module 51, the change signal scoring module 52 and the change signal feature extraction module 53, and then feature information is extracted;

[0046] S6, then the finger force evaluation module 61 and the brain function evaluation module 62 compare and evaluate the extracted feature information with the database feature data, and then generate an evaluation chart;

[0047] S7. Then, an evaluation report is generated through the generated evaluation chart data information. At the same time, key indicators, data analysis results, suggestions and other contents are automatically given when producing the report. The system and method can effectively improve the evaluation accuracy of the patient's motor function, and then accurately adjust the treatment plan, which is helpful to improve the rehabilitation of the patient's fine motor function of the hand. In addition, through the interactive unit 7 and the report generation unit 8, people can intuitively see the fine motor function rehabilitation evaluation curve of the hand. The system will automatically generate an evaluation report containing key indicators, data analysis results, suggestions and other contents to improve the patient's confidence in rehabilitation.

[0048] The above is only a preferred specific implementation of the present invention; however, the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solution and its improved conception within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A hand fine motor function rehabilitation assessment system, comprising an assessment system (1), characterized in that: The evaluation system (1) is provided with a system processor (2) and a storage device. The system processor (2) is data-connected with a collection unit (3), a collection signal processing unit (4), an attention control unit (5), an evaluation unit (6), an interaction unit (7) and a report generation unit (8). The collection unit (3) is signal-connected with the collection signal processing unit (4). The collection unit (3) is provided with a hand motion collection module (31) and a brain function collection module (32). The hand motion collection module (31) is provided with a tactile force collection module (33). The brain function collection module (32) is provided with a brain blood oxygen collection module (34). The tactile force collection module (33) and the brain blood oxygen collection module (34) are both provided with a plurality of signal connection lines and signal collection heads. The collection signal processing unit (4) is provided with a tactile force change signal processing module (41) and a brain blood oxygen change signal processing module (42).

2. A hand fine motor function rehabilitation assessment system according to claim 1, characterized in that: The tactile force acquisition module (33) is provided with a thumb-to-finger change signal acquisition module (331), a fingertip-to-finger change signal acquisition module (332), a three-finger pinch change signal acquisition module (333), a cylindrical grip change signal acquisition module (334), a pinch measurement change signal acquisition module (335) and a fist clench change signal acquisition module (336).

3. A hand fine motor function rehabilitation assessment system according to claim 1, characterized in that: The cerebral blood oxygen acquisition module (34) is provided with a cerebral blood oxygen signal acquisition channel 1 (341), a cerebral blood oxygen signal acquisition channel 2 (342), a cerebral blood oxygen signal acquisition channel 3 (343) and a cerebral blood oxygen signal acquisition channel N (344).

4. A hand fine motor function rehabilitation assessment system according to claim 1, characterized in that: The attention control unit (5) is provided with a change signal analysis module (51), a change signal scoring module (52) and a change signal feature extraction module (53), and the attention control unit (5) is data-connected to the acquisition signal processing unit (4).

5. A hand fine motor function rehabilitation assessment system according to claim 4, characterized in that: The evaluation unit (6) is provided with a finger force evaluation module (61) and a brain function evaluation module (62), and the finger force evaluation module (61) and the brain function evaluation module (62) are data-connected to the change signal feature extraction module (53).

6. A hand fine motor function rehabilitation assessment system according to claim 1, characterized in that: The interactive unit (7) is provided with a chart automatic generation module (71) and a visual display module (72), and the chart automatic generation module (71) is provided with a chart preset template.

7. A hand fine motor function rehabilitation assessment system according to claim 1, characterized in that: The report generation unit (8) is provided with a report automatic generation module (81) and a report export module (82), and the report automatic generation module (81) is provided with an intelligent recognition and analysis module.

8. A hand fine motor function rehabilitation assessment system according to claim 1, characterized in that: The cerebral blood oxygen change signal processing module (42) is provided with a noise removal module (421) and a motion artifact processing module (422).

9. A hand fine motor function rehabilitation assessment system according to claim 1, characterized in that: The tactile force change signal processing module (41) is provided with a filtering processing module (411).

10. An evaluation method for a hand fine motor function rehabilitation evaluation system according to claims 1-9, characterized in that: The following steps are involved: S1, firstly fix the thumb-to-finger change signal acquisition module (331), the fingertip-to-finger change signal acquisition module (332), the three-finger pinch change signal acquisition module (333), the cylindrical grip change signal acquisition module (334), the pinch measurement change signal acquisition module (335) and the fist clench change signal acquisition module (336) provided in the tactile force acquisition module (33) on the patient's limbs through respective acquisition heads; S2, then connect the collection heads of the brain blood oxygen signal collection channel 1 (341), the brain blood oxygen signal collection channel 2 (342), the brain blood oxygen signal collection channel 3 (343) and the brain blood oxygen signal collection channel N (344) provided in the brain blood oxygen collection module (34) to the patient's body; S3, then connecting the acquisition heads of the tactile force acquisition module (33) and the brain blood oxygen acquisition module (34) to the evaluation system (1) through a signal connection line, and then collecting the tactile force change signal of the patient's hand fine movement and the brain blood oxygen change signal; S4, then the collected tactile force change signal and cerebral blood oxygen change signal are respectively subjected to average filtering processing and denoising and artifact processing through a tactile force change signal processing module (41) and a cerebral blood oxygen change signal processing module (42); S5, then the processed change signal is analyzed and scored by the change signal analysis module (51), the change signal scoring module (52) and the change signal feature extraction module (53), and feature information is extracted; S6, then the finger force evaluation module (61) and the brain function evaluation module (62) compare and evaluate the extracted feature information with the database feature data, and then generate an evaluation chart; S7. Then, the evaluation report is generated through the generated evaluation chart data information, and key indicators, data analysis results, suggestions and other contents are automatically given when the report is produced.

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