Authors:
Vladimir Kublanov
;
Konstantin Purtov
and
Daniil Belkov
Affiliation:
Ural Federal University, Russian Federation
Keyword(s):
Autonomic Nervous System, Remote Photoplethysmography, Blood Volume Pulse, Heart Rate Variability, Respiration, Remote Sensing.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Cardiovascular Signals
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Real-Time Systems
Abstract:
The paper presents assessments of the remote photoplethysmography (rPPG) capabilities for evaluation of heart rate variability (HRV) for monitoring the neuro-electrostimulation procedures. In our experiment, 20 minute long videos of 20 people in office lighting conditions were analyzed. We checked the accuracy of well-known methods and some modern methods of rPPG. In this work, we evaluated the accuracy of rPPG methods in high frequency (HF) band (0.4 - 0.15 Hz), and sub-bands (0.4 - 0.3 Hz), (0.3 - 0.15 Hz). For the sub-band (0.3-0.15 Hz) HRV signals obtained with rPPG are better correlated with HRV signals obtained with electrocardiography (ECG). The results have shown that POS method provides the best HRV parameter evaluation.