Real Time Video based Heart and Respiration Rate Monitoring
This work addresses the need for non-invasive vital sign monitoring using smartphones, but it is incremental as it builds on existing iPPG methods by comparing Hue to Green channel accuracy.
This study tackled the problem of monitoring heart and respiration rates from facial videos by proposing a method based on measuring fluctuations in the Hue channel, which was evaluated on 25 healthy individuals and found to be more accurate than using the Green channel.
In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmographic (PPG) to detect heart rate (HR) and respiration rate (RR). Smartphone cameras also can measure HR by detecting and processing imaging Photoplethysmographic (iPPG) signals from the video of a user's face. Indeed, the variation in the intensity of the green channel can be measured by the iPPG signals of the video. This study aimed to provide a method to extract heart rate and respiration rate using the video of individuals' faces. The proposed method is based on measuring fluctuations in the Hue, and can therefore extract both HR and RR from the video of a user's face. The proposed method is evaluated by performing on 25 healthy individuals. For each subject, 20 seconds video of his/her face is recorded. Results show that the proposed approach of measuring iPPG using Hue gives more accurate rates than the Green channel.