Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing-Reference-Cited by-同舟云学术

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Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing

Published:2023-03 Issue: Volume:17 Page:100277
ISSN:2590-0056
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language:en
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Author:

Chen Biao,Zhou Yang,Chen Chaoyang^ORCID,Sayeed Zain,Hu Jie,Qi Jin,Frush Todd^ORCID,Goitz Henry,Hovorka John,Cheng Mark,Palacio Carlos

Publisher

Elsevier BV

Subject

General Computer Science

Reference98 articles.

1. Comparative study of actuation systems for portable upper limb exoskeletons;Manna;Med Eng Phys,2018

2. Biosignal-based human-machine interfaces for assistance and rehabilitation: a survey;Esposito;Sensors,2021

3. The barriers of the assistive robotics market-what inhibits health innovation?;Aguiar Noury;Sensors,2021

4. Artificial intelligence: a powerful paradigm for scientific research;Xu;Innovation,2021

5. Sensors and actuation technologies in exoskeletons: a review;Tiboni;Sensors,2022

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1. Classification of Gait Phases by Using SVM and ANN Based on EMG Signals;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06

2. Predicting factors for extremity fracture among border-fall patients using machine learning computing;Heliyon;2024-06

3. An sEMG Signal-based Robotic Arm for Rehabilitation applying Fuzzy Logic;Engineering, Technology & Applied Science Research;2024-06-01

4. Implementation and Comparison of Wearable Exoskeleton Arm Design with Fuzzy Logic and Machine Learning Control;Journal of Sensors;2024-04-03

5. Advancing task recognition towards artificial limbs control with ReliefF-based deep neural network extreme learning;Computers in Biology and Medicine;2024-02

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