Contactless Heart Rate Detection Using Eulerian Video Magnification

Non-contact real-time heart rate monitoring technology has revolutionized hospital heart rate monitoring. Traditionally, monitoring heart rate was expensive and time-consuming. The system uses Euler amplification and deep learning to provide efficient and accurate tracking. Eulerian video upscaling improves motion and color in videos. Standard cameras are used to obtain biomedical information from subjects. By examining subtle color changes caused by blood flow, heartbeat can be measured accurately without physical contact. The system continuously monitors heart rate using Euler magnification to ensure the skin surface changes color due to blood flow. Deep learning models then extract this data for real-time, accurate results. This new approach reduces doctors' workload and improves patient outcomes while reducing costs. With the increasing use of technology and the trend towards contactless solutions, contactless real-time monitoring holds the promise of improving patient outcomes and improving health.