Functional near-infrared spectroscopy (fNIRS) measures brain activity optically based on changes in cortical blood flow.

Learn how machine learning ECG fatigue detection achieved 97.96% accuracy in older adults using a machine learning model.

The loudest applause on the final day of the 2026 National Project Management Conference and Project Management Excellence Awards (NPMC & PMEA) was not for a keynote speaker or an awards recipient. It ...

Electrocardiography (ECG) is a transthoracic (across the thorax or chest) interpretation of the electrical activity of the heart over a period of time, as detected by electrodes attached to the outer ...

In 1968, the furniture designer and RCA professor David Pye published The Nature and Art of Workmanship, a book built around a distinction between "workmanship of risk" and the "workmanship of ...

BACKGROUND: Chagas disease (ChD), a neglected cardiovascular condition, affects 7.5 to 10.5 million people worldwide. Opportunistic screening during routine electrocardiography may allow earlier ...

With heart rate monitors now standard in smartwatches and fitness trackers, electrocardiograms (ECG/EKG) have rapidly become a common feature in health wearables. The technology may assist individuals ...

The Indian company is ensuring rapid AI adoption through new platforms, extensive training, responsible governance, and client collaboration. Useful findings from a range of new academic studies. His ...

Background Pericarditis may be associated with significant morbidity and mortality and can be a clinically challenging entity ...

An IT and nursing professor have partnered to study how artificial intelligence might aid early detection of atrial ...