A substantial percentage of accidents are caused by drivers falling asleep at wheel. HRV indices were derived using the main technics for outliers detection and spectral transformation. Opposite to spectral transformation methods, outliers detection methods showed low influence on HRV indices. The outlier detection and spectral transformation method does not influence the capability of HRV indices of discriminating between morning, afternoon and night

The Art of Heart Rate Variability: Driver Fatigue Application

Forcolin, Fabio
2015/2016

Abstract

A substantial percentage of accidents are caused by drivers falling asleep at wheel. HRV indices were derived using the main technics for outliers detection and spectral transformation. Opposite to spectral transformation methods, outliers detection methods showed low influence on HRV indices. The outlier detection and spectral transformation method does not influence the capability of HRV indices of discriminating between morning, afternoon and night
2015-09-22
heart rate variability, driver fatigue, outliers detection, spectral transformation, KSS
File in questo prodotto:
File Dimensione Formato  
Forcolin_Fabio_1080310.pdf

accesso aperto

Dimensione 6.94 MB
Formato Adobe PDF
6.94 MB Adobe PDF Visualizza/Apri

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/19861