A real time machine learning framework for multivital ailment detection in remote patient monitoring
As the number of wearable sensing and IoT-enabled healthcare systems continues to surge, remote patient monitoring is gaining attention for the early detection of abnormal physiological conditions. However, current methods are restricted to single-signal analysis, rely on intensive deep learning models, offer poor inte...