Determination of Optimal Heart Rate Variability Features Based on SVM-Recursive Feature Elimination for Cumulative Stress Monitoring Using ECG Sensor

Determination of Optimal Heart Rate Variability Features Based on SVM-Recursive Feature Elimination for Cumulative Stress Monitoring Using ECG Sensor

Routine stress monitoring in daily life can predict potentially serious health impacts. Effective stress monitoring in medical and healthcare fields is dependent upon accurate determination of stress-related features. In this study, we determined the optimal stress-related features for effective mon...

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Bibliographic Details
Main Authors:	Dajeong Park, Miran Lee, Sunghee E. Park, Joon-Kyung Seong, Inchan Youn
Format:	Article
Language:	English
Published:	MDPI AG 2018-07-01
Series:	Sensors
Subjects:	heart rate variability cumulative stress electrocardiogram stress monitoring support vector machine-recursive feature elimination
Online Access:	http://www.mdpi.com/1424-8220/18/7/2387

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