Heart Rate Variability-Based Stress Detection and Fall Risk Monitoring During Daily Activities: A Machine Learning Approach

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Detalles Bibliográficos
Publicado en:	Computers vol. 14, no. 2 (2025), p. 45
Autor principal:	Messaoud, Ines Belhaj
Otros Autores:	Thamsuwan, Ornwipa
Publicado:	MDPI AG
Materias:	Physiology Balance Accuracy Deep learning Classification Wavelet transforms Adaptability Heart rate Psychological stress Signal processing Electrocardiography Frequencies Electromyography Machine learning Risk Data collection Feasibility studies Fatigue Physiological responses Cluster analysis Restless legs syndrome Stress Clustering Support vector machines Adults Biomarkers Nervous system Algorithms Real time Posture Systematic review Vector quantization
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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