Video Detection of Cardiac Arrhythmias

photo of ipad using a heart rate detection through facial recognition
Video Detection of Cardiac Arrhythmias

Gill Tsouri, Principal Investigator

Facial videoplethysmography provides non-contact measurement of heart activity based on blood volume pulsations detected in facial tissue. Typically, the signal is extracted using a simple webcam followed by elaborated signal processing methods, and provides limited accuracy of time-domain characteristics. In this study, we explored the possibility of providing accurate time-domain pulse and inter-beat interval measurements using a high-quality image sensor camera and various signal processing approaches, and used these measurements to diagnose atrial fibrillation.

For more information about this research please visit https://people.rit.edu/grteee/