Deep learning models using ECG signals to detect sleepiness demonstrate moderate participant-independent and cross-dataset ...

The study, published in BMC Biomedical Engineering, introduces a transfer learning architecture that integrates custom ...

BACKGROUND: Electrocardiographic analysis aided by artificial intelligence (AI) may identify atrial electrical vulnerability ...

An interdisciplinary team of researchers led Engineering Associate Professor Xia Zhou has developed PillowSense, a fabric-based sleep monitoring system. The novel system uses soft sensors to measure ...

Blockchain technology, supported by IoT, has proven essential for improving traceability in food supply chains, but its application to auditing and certifying food loss and waste (FLW) reduction ...

Estimation of cardiovascular parameters using blood pressure waveforms has been widely investigated for cardiovascular health assessment. However, previous studies have mainly focused on individual ...

But the signals that shape a patient’s future are not always found in the heartbeat itself. They can arise from patterns in ...