| Title |
Low-exertion testing of autonomic cardiovascular integrity through PPG signal analysis / |
| Authors |
Rinkevičius, Mantas ; Rapalis, Andrius ; Pluščiauskaitė, Vilma ; Piartli, Povilas ; Kaniusas, Eugenijus ; Marozas, Vaidotas |
| DOI |
10.23919/CinC53138.2021.9662810 |
| ISBN |
9781665467216 |
| eISBN |
9781665479165 |
| Full Text |
|
| Is Part of |
Computing in cardiology (CinC): September 12-15, 2021, Brno, Czech Republic.. Piscataway, NJ : IEEE, 2021. p. 1-4.. ISSN 2325-8861. eISSN 2325-887X. ISBN 9781665467216. eISBN 9781665479165 |
| Keywords [eng] |
cardiovascular system ; autonomic nervous system ; feature extraction ; cardiology ; signal analysis ; stress ; testing |
| Abstract [eng] |
Activity of the autonomic nervous system (ANS) is closely related to the cardiovascular system (CVS). Thus, any disturbance of the ANS may have a negative impact on CVS function. This study investigates the feasibility to assess autonomic cardiovascular integrity by using photo-plethysmogram (PPG) signals. PPG signals from 51 subjects were recorded. Two complementary tests (cold pressor and slow deep breathing) were used as stress and relaxation stimuli. Nine features of PPG pulse wave were extracted. The results showed that the most sensitive feature to the sequence of complementary stimuli for autonomic cardiovascular integrity testing is the pulse amplitude variability - values of effect size to two cold pressor and one slow deep breathing stimuli were 1.444, 1.129, and 1.030, respectively. The obtained results may have significance in developing testing methodologies of assessing ANS for physically weak persons. |
| Published |
Piscataway, NJ : IEEE, 2021 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2021 |
| CC license |
|
