In recent years, the physiological measurement based on remote photoplethysmography has attracted wide attention, especially since epidemic of COVID-19. Many researchers paid great efforts to improve robustness illumination and motion variation. Most existing methods divided ROIs into many sub-regions extracted heart rate separately, while ignoring fact that rates from different are consistent....

Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body. This study presents an efficient multi-hierarchical spatio-temporal convolutional network that can quickly estimate remote (rPPG) signal HR from face video clips. First, facial color distribution characteristics extracted using a low-level feature generation (LFFG) module. Then, three-dimensional (3D)...

Monitoring of cardiac activity of post operating patients in a driving state is one of the emerging applications in bio medical research. The detection of QRS complexes in an Electrocardiogram (ECG) signal provides information about the heart rate within the heart as well as various abnormalities such as hyperkalemia, cardiac hypertrophy, etc. A system that detects drowsiness and heart attack o...

This thesis presents methods for comfortable sleep measurement at home. Existing medical sleep measurement systems are costly, disturb sleep quality, and are only suited for short-term measurement. As sleeping problems are affecting about 30% of the population, new approaches for everyday sleep measurement are needed. We present sleep measurement methods that are based on measuring the body wit...