What if Facial Videos Could Measure Your Heart Rate? This AI Paper Unveils PhysMamba and Its Efficient Remote Physiological Solution

Introducing PhysMamba: Your Solution for Non-Invasive Health Monitoring Measuring heart rate and variability accurately from facial videos can be tough due to lighting and movement issues. PhysMamba efficiently extracts precise physiological signals for real-time health monitoring. Innovative Approach for Better Results PhysMamba uses TD-Mamba block and a dual-stream SlowFast architecture to capture local and long-range dependencies from facial videos. This boosts accuracy in estimating rPPG signals, outperforming traditional models like CNN and Transformers. Impressive Performance Metrics PhysMamba shows outstanding results on benchmark datasets, with low MAE and RMSE. It excels in capturing subtle physiological changes, making it perfect for real-time heart rate monitoring from facial videos. For more information and a free consultation, visit our AI Lab on Telegram @itinai or follow us on Twitter @itinaicom.