Multifunctional digital evaluation intelligent seat

Abstract

The invention provides a multifunctional digital evaluation intelligent seat. The multifunctional digital evaluation intelligent seat comprises a seat body, a base, a cushion part and armrest parts, wherein flexible piezoresistive sensors are arranged at the cushion part and the armrest parts of the intelligent seat respectively, and a servo motor encoder and an acceleration sensor are additionally mounted at each armrest part; each flexible piezoresistive sensor is used for acquiring pressure distribution change data of a contact surface above the surface; wherein two conducting layers are horizontally and vertically arranged at 90 degrees, a piezoresistor layer is placed between the two conducting layers, and then the three layers are sewn and fixed by a sewing machine and are reinforcedby a hot melt adhesive; the servo motor encoders are used for acquiring rotation data of arms, and the acceleration sensors of the armrest parts are used for measuring vibration data of the arms; andall the data are transmitted through a wired serial port protocol and sent to an upper computer through a lower computer, the data are processed and analyzed on the upper computer, relevant parameters of the collected patient are obtained, and the data and an analysis result are stored.

Description

technical field [0001] The invention belongs to the field of medical equipment, in particular to a multifunctional digital evaluation intelligent seat. Background technique [0002] The evaluation of the above-mentioned patients with movement disorders is mostly diagnosed and evaluated by clinical staff based on subjective experience. For example, the evaluation and diagnosis method for patients with Parkinson's disease is: according to the Unified Parkinson's Disease Evaluation Scale (UPDRS) published by the International Movement Disorder Society (MDS) The assessment items and standards are obtained by medical staff through empirical observation and judgment, that is, to observe and evaluate the tremor, muscle stiffness, bilateral limb imbalance and other indicators of Parkinson's patients with the naked eye to make follow-up diagnosis. There are subjective factors and There are deficiencies in the inability to accurately quantify tremor amplitude, muscle stiffness, and de...

AI Technical Summary

Problems solved by technology

[0002] The evaluation of the above-mentioned movement disorder patients is mostly based on the clinical diagnosis and evaluation by clinical staff based on subjective experience. For example, the evaluation and diagnosis method for Parkinson's disease patients is: according to the Unified Parkinson's Disease Evaluation Scale (UPDRS) published by the International Movement Disorder Society (MDS) The evaluation items and standards are obtained by medical staff through empirical observation and judgment, that is, through the observation and evaluation of the tremor degree, muscle stiffness degree, bilateral limb imbalance degree and other indicators of Parkinson's patients with the naked eye, so as to make follow-up diagnosis, there are subjective factors and Inability to accurately quantify tremor amplitude, muscle stiffness and imbalance degree, there are deficiencies

Existing evaluation devices mainly use accelerometers to evaluate tremors, but they are inconvenient to wear and can only evaluate a single symptom

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