Hand medical monitoring system based on machine learning and optimal EMG feature set-Reference-Cited by-同舟云学术

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Hand medical monitoring system based on machine learning and optimal EMG feature set

Published:2019-08-02 Issue: Volume: Page:
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Yu Mingchao,Li Gongfa,Jiang Du,Jiang Guozhang,Tao Bo,Chen Disi

Funder

National Natural Science Foundation of China

National Defense Pre-Research Foundation of Wuhan University of Science and Technology

The Key Laboratory for Metallurgical Equipment and Control of Ministry of Education in Wuhan University of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Link

http://link.springer.com/content/pdf/10.1007/s00779-019-01285-2.pdf

Reference57 articles.

1. Aszmann OC, Roche AD, Salminger S, Paternostro-Sluga T, Herceg M, Sturma A, Hofer C, Farina D (2015) Bionic reconstruction to restore hand function after brachial plexus injury: a case series of three patients. Lancet 85(9983):2183–2189

2. Wang C, Lai W (2019) A fuzzy model of wearable network real-time health monitoring system on pharmaceutical industry. Pers Ubiquit Comput:1–9

3. Simão M, Mendes N, Gibaru O, Neto P (2019) A review on electromyography decoding and pattern recognition for human-machine interaction. IEEE Access 7:39564–39582. https://doi.org/10.1109/ACCESS.2019.2906584

4. Jinxian Q, Guozhang J, Gongfa L, Ying S, Bo T (2019) Intelligent human-computer interaction based on surface EMG gesture recognition. IEEE Access 7:61378–61387. https://doi.org/10.1109/ACCESS.2019.2914728

5. Chengcheng L, Gongfa L, Guozhang J, Disi C, Honghai L (2018) Surface EMG data aggregation processing for intelligent prosthetic action recognition. Neural Comput & Applic. https://doi.org/10.1007/s00521-018-3909-z

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