基于表面肌信号的康复复合体外骨骼肢体控制生物技术系统

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI:10.1109/AICT50176.2020.9368588

A. Trifonov, A. Kuzmin, S. Filist, S. Degtyarev, E. Petrunina

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引用次数: 1

摘要

这项研究的目的是开发一种康复型的生物技术系统，旨在通过生物技术和生物反馈来恢复患者肌肉的运动活动。所获得的肌电图表面信号的分类模型可用于为神经系统疾病患者创建智能康复系统，并将允许开发可用于创建人工生物反馈的诊断测试刺激程序。这将为社会重大疾病的风险提供新的预测指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Biotechnical System for Control to the Exoskeleton Limb Based on Surface Myosignals for Rehabilitation Complexes

The aim of the study is to develop a biotechnical system of the rehabilitation type, designed to restore the motor activity of the patient’s muscles through biotechnical and biological feedback. The obtained classification models of surface signals of electromyograms can be used to create intelligent rehabilitation systems for patients with neurological diseases and will allow the development of diagnostic test stimulation programs that can be used to create artificial biological feedback. This will provide new predictors of the risk of socially significant diseases.

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2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)

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