Name
Abstract | ||
|---|---|---|
We propose a method which allows Heart Rate Variability (HRV) and Respiratory Sinus Arrhythmia (RSA) to be measured via a webcam. HRV and RSA provide an index of vagal tone, the activity level of the vagus nerve, which has a multitude of uses as a psychiatric research tool. The proposed Modified Eulerian Video Magnification (MEVM) algorithm amplifies signals from a video within a cardiac frequency range. This signal is used to obtain cardiac phase magnitude over time and thus construct inter-beat interval series (IBI), which can be processed to identify HRV and RSA. Results obtained agree with the gold standard (ECG) to within 2.5%. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2683405.2683446 | IVCNZ |
Keywords | Field | DocType |
algorithms,photoplethysmography,heart rate,applications,experimentation,vagal tone,measurement,heart rate variability,biometrics,eulerian video magnification | Computer vision,Vagal tone,Pattern recognition,Photoplethysmogram,Heart rate variability,Computer science,Vagus nerve,Interval Series,Artificial intelligence,Magnification,Heart rate | Conference |
Citations | PageRank | References |
1 | 0.37 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex Beatson | 1 | 8 | 4.56 |
| Richard D. Green | 2 | 1 | 0.71 |