AI-based Stroke Disease Prediction System Using Real-Time Electromyography Signals

AI-based Stroke Disease Prediction System Using Real-Time Electromyography Signals

Stroke is a leading cause of disabilities in adults and the elderly which can result in numerous social or economic difficulties. If left untreated, stroke can lead to death. In most cases, patients with stroke have been observed to have abnormal bio-signals (i.e., ECG). Therefore, if individuals ar...

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Bibliographic Details
Main Authors: Jaehak Yu, Sejin Park, Soon-Hyun Kwon, Chee Meng Benjamin Ho, Cheol-Sig Pyo, Hansung Lee
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
<b>Keywords: e</b>lectromyography (EMG)
stroke prediction
stroke disease analysis
artificial intelligence
machine learning
random forest
Online Access:https://www.mdpi.com/2076-3417/10/19/6791

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https://www.mdpi.com/2076-3417/10/19/6791

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