Sub-site hand function rehabilitation evaluation method and device

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...

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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, electrodes need to be fixed on the skin surface and muscle groups. In this way, patients need to wear a lot of electrodes during rehabilitation training. For those with hands It is very inconvenient for patients with functional impairment. When collecting pressure signals, some pressure sensors are not easy to fix, and some sensors have a certain volume. When patients undergo rehabilitation training, it is not conducive to the patient's hand grasping movement and thus affects hand function recovery. Evaluate

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