Sub-site hand function rehabilitation evaluation method and device

A technology based on parts and hand functions, applied in the field of sensors and rehabilitation equipment, can solve problems such as unfavorable hand grasping movements of patients, less rehabilitation evaluation and training research, and affecting hand function rehabilitation evaluation.

Inactive Publication Date: 2017-05-24
SHENZHEN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] At present, the existing hand grip rehabilitation function evaluation methods and training systems have little research on the rehabilitation evaluation and training of some parts of the hand. They focus on the mechanical signals, tactile and sliding signals of the fingers, sub-joints, palm sub-regions, and sub-part movements of the hand. Research with little information
Moreover, most systems collect bio-myoelectric signals and pressure signals. When bio-electric signals are collected, elect...

Method used

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  • Sub-site hand function rehabilitation evaluation method and device
  • Sub-site hand function rehabilitation evaluation method and device
  • Sub-site hand function rehabilitation evaluation method and device

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Embodiment 1

[0038] The structural block diagram of this integrated device among the present invention is as figure 1 As shown, the details are as follows:

[0039] Step 1: Multimodal Data Acquisition Module

[0040] In this implementation example, the module includes pressure, touch and sliding signal acquisition modules based on new piezoelectric materials and inertial sensing data acquisition modules, such as figure 2 and image 3 shown. The pressure, tactile and sliding signals collected by the new piezoelectric material reflect the pressure information of multiple parts of the hand when the hand is grasping and whether the position of the hand of the patient with hand dysfunction is sliding relative to the grasping device during the continuous grasping action. Disengagement; Inertial sensing data reflect finger and other motion during grasping in patients with hand dysfunction. This module integrates two independent acquisition modules, which can not only realize the real-time, s...

Embodiment 2

[0048] In the present invention, the specific implementation process of this implementation example is as follows Figure 4 As shown, the detailed steps are as follows:

[0049] Step 1: First, collect data for the normal group. The subjects need to sit upright on a chair, wear inertial sensors in different parts, and grasp the specific grasping device with the arm at a 90-degree angle to the body, and start multimodal data. Synchronous acquisition, such as Figure 5 shown.

[0050] Step 2: Preprocessing the multimodal data collected by the normal group.

[0051] Step 3: Analyze the multi-modal data collected by the normal group using statistical methods, then extract quantitative indicators based on the multi-modal data of the normal group’s grasping movements, and extract the sub-parts based on the data collected by the hands-free dysfunction Indicators, pressure indicators by part (X1, X2...Xn), tactile and sliding indicators by part (Y1, Y2...Yn, G1, G2...Gn) and jitter ...

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Abstract

The invention provides a sub-site hand function rehabilitation evaluation method and device. The evaluation device comprises a multi-mode data acquisition module, a multi-mode data preprocessing module, a hand function evaluation index extraction and display module and a feedback module, the multi-mode data acquisition module comprises a pressure, tactile sense and sliding signal acquisition module and an inertia sensing data acquisition module, the multi-mode data preprocessing module comprises a pressure, tactile sense and sliding signal preprocessing module and an inertia sensing data preprocessing module, pressure, tactile sense and sliding signals are acquired by a sensor made of novel piezoelectric materials, sensor piezoelectric coefficients are measured, so that standards can be quantized, hand monition information is acquired by an inertia sensor, monition information of parts of portions of a hand can be quantized by the inertia sensor, the hand function evaluation index extraction and display module is used for extracting quantitative indexes for reach-to-grasp movement data according to a normal group, giving weight to comprehensive analysis indexes and making a rehabilitation evaluation scoring mechanism, and the feedback module is used for feeding back evaluation results.

Description

technical field [0001] The invention belongs to the technical field of sensors, the technical field of signal processing, and the technical field of rehabilitation equipment. In particular, it relates to a grip rehabilitation function evaluation and rehabilitation guidance training system based on signals from multiple parts of the human hand. Background technique [0002] According to the third national retrospective survey of causes of death in 2004-2005, cardiovascular and cerebrovascular diseases have become the number one cause of death among Chinese residents. According to the large-sample epidemiological survey conducted nationwide in recent years, there are more than 10 million surviving patients after stroke in my country, and nearly 50% of them are under the age of 65 for the first time. About three-quarters of the survivors left sequelae such as hemiplegia in varying degrees, and some patients lost their ability to work and live. Bringing a huge burden to the co...

Claims

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Application Information

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IPC IPC(8): A61B5/22A61B5/11A61B5/00
CPCA61B5/225A61B5/1101A61B5/1118A61B5/6826A61B5/7203A61B5/7235
Inventor 周永进徐井旭杨晓娟石文秀张树
Owner SHENZHEN UNIV
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