A multifunctional digital evaluation intelligent seat

Abstract

The present invention proposes a multifunctional digital evaluation intelligent seat, including: seat body, base, seat cushion, and armrest; flexible piezoresistive sensors are respectively installed on the seat cushion and armrest of the intelligent seat, and servo motors are installed on the armrest. A motor encoder and an acceleration sensor; the pair of flexible piezoresistive sensors is used to obtain the pressure distribution change data of the contact surface above the surface; wherein, the two conductive layers are arranged horizontally and vertically at 90 degrees, and a layer is placed between the two conductive layers The piezoresistive layer is then fixed with a sewing machine for three layers of stitching, and reinforced with hot melt adhesive; the servo motor code is used to obtain arm rotation data, and the acceleration sensor at the armrest is used to measure the vibration data of the arm; the above Each data is transmitted through the wired serial port protocol, sent from the lower computer to the upper computer, and the upper computer processes and analyzes the data, obtains the relevant parameters of the collected patients, and stores the data and analysis results.

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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