Developing a Fatigue Detection Model for Hospital Nurses Using HRV Measures and Machine Learning

Developing a Fatigue Detection Model for Hospital Nurses Using HRV Measures and Machine Learning

Fatigue among hospital nurses, resulting from demanding workloads and irregular shift schedules, presents significant risks to both healthcare workers and patient safety. This study developed a fatigue detection model using heart-rate variability (HRV) and investigated its relationship with the Swed...

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Bibliographic Details
Main Authors: Wynona Salsabila Hafiz, Maya Arlini Puspasari, Dewi Yunia Fitriani, Richard Joseph Hanowski, Danu Hadi Syaifullah, Salsabila Annisa Arista
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Safety
Subjects:
fatigue detection
heart-rate variability
nurse fatigue
Swedish Occupational Fatigue Inventory
machine learning
Online Access:https://www.mdpi.com/2313-576X/11/2/48
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