Multi-Domain Short Term Heart Rate Variability Analysis to Detect Single Night Sleep Deprivation on Drivers

GIANNINA BELLONE; MARIANO LLAMEDO; AUGUSTO SANTINI; JOSÉ GALLARDO; DANIEL E. VIGO

Conferencia; 45th Computing in Cardiology Conference; 2018

Sleep deprivation is associated with road accidents. Autonomic nervous system (ANS) activity can be estimated non invasively from the heart rate variability(HRV) signal calculated from the ECG. The aim of this work is to find useful parameters to detect sleep deprivation on drivers. We utilized two groups of non professional healthy drivers aging from 21 to 25 years old. Non-Deprived(ND, sleep >= 4 hours) (N=10) and Deprived (D, sleep < 4 hours) (N=13). The ECG signal on rest for 5 minutes was preprocessed and the RR series calculated.The RR series was analyzed time-domain, frequencydomain and nonlinear domain. To analyze possible differences of the HRV parameters between the groups ofdrivers Mann-Whitney was used and a p