Name
Title | ||
|---|---|---|
Low-Exertion Testing of Autonomic Cardiovascular Integrity Through PPG Signal Analysis |
Abstract | ||
|---|---|---|
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 d... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/CinC53138.2021.9662810 | 2021 Computing in Cardiology (CinC) |
Keywords | DocType | Volume |
Cardiovascular system,Autonomic nervous system,Feature extraction,Cardiology,Signal analysis,Stress,Testing | Conference | 48 |
ISBN | Citations | PageRank |
978-1-6654-7916-5 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mantas Rinkevičius | 1 | 0 | 0.34 |
| Andrius Rapalis | 2 | 0 | 0.68 |
| Vilma Pluščiauskaitė | 3 | 0 | 0.34 |
| Povilas Piartli | 4 | 0 | 0.34 |
| Eugenijus Kaniusas | 5 | 0 | 0.34 |
| Vaidotas Marozas | 6 | 0 | 1.35 |