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

GALLARDO, JOSE; BELLONE, GIANNINA; SANTINI, AUGUSTO; VIGO, DANIEL

Maastricht

Conferencia; 45Th Computing in Cardiology Conference in Maastricht.; 2018

Computing in Cardiology, Inc.

Multi-Domain Short Term Heart Rate Variability Analysis to Detect Single Night Sleep Deprivation on DriversJose Gallardo 1 , Giannina Bellone 2 , Daniel Vigo 2 , Mariano Llamedo 11Investigation and Development in Bioengineering Group (GIBIO)National Technological University, Buenos Aires Argentina2Chronophysiology Lab, Institute for Biomedical Research (BIOMED),Catholic University of Argentina (UCA) and National Research Council(CONICET), Buenos Aires, ArgentinaIntroduction: Sleep deprivation is associated with road accidents.Autonomic nervous system (ANS) activity presents alterations duringstress, extreme fatigue and drowsiness episodes. The 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. These parameters can be obtained from several multi­domain rep­resentation of the HRV, such as the Poincaré graph.Materials and Methods: we utilized two groups of non professionalhealthy drivers aging from 21 to 25 years old. The subjects were experimen­ tally divided in two groups: non­deprived (ND, sleep >= 4 hours) (N=10) and deprived (D, sleep < 4 hours) (N=13). The ECG signal was obtained on rest for five minutes by a D1­lead holter The ECG signal was preprocessed and the RR interval series calculated. The RR series was analyzed time­domain, through statistic calculation, frequency­domain, the power spectral density (PSD) was obtained through Lomb periodogram, and nonlinear parameters through Poincaré plot. To analyze possible differences of the HRV parame­ters between the groups of drivers Mann­Whitney was used and a p value of < 0.05 was considered as significant.Results: Both the parameters of the time­domain and those of the fre­quency­domain resulted with non­significant p values. The nonlinear analy­sis, the parameter SD12, ratio of SD1/SD2, of Poincaré plot, resulted with a p value of 0.0438.Conclusion: This work show that only the nonlinear analysis of short­termHRV, allowed the detection of a single night deprivation through SD12, a pa­rameter of the Poincaré graph.In future works it will be analyzed HRV of ultra short term RR series,equal or less than one minute of duration in both groups, through multi­do­main analysis to find new parameters capable of detection sleep deprivation on drivers.