A new review article unveils the world of flexible micromachined ultrasound transducers (MUTs), an emerging technology at the intersection of wearables, ultrasound, and MEMS. These cutting-edge ...

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A new AI-driven approach to fetal brain health monitoring will enable early detection of fetal distress, allowing for timely ...

Nishit Agarwal exemplifies excellence in Biomedical AI and Signal Processing with extensive experience in developing ...

A major challenge in self-powered wearable sensors for health care monitoring is distinguishing different signals when they occur at the same time. Researchers addressed this issue by uncovering a new ...

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission ...

Environmental monitoring is the repeated measurement of physical, chemical and biological variables in order to study environmental changes, particularly those arising from human activities.

The advent of smart biomedical signal analysis systems marks a significant leap forward, enabling continuous monitoring of disease progression and providing unprecedented insights into patients’ ...

The College of Biomedical and Life Sciences is a vibrant academic community, which undertakes innovative research and provides state-of-the-art learning facilities. Researchers from Cardiff University ...

This project uses Python to process electrocardiogram (ECG or EKG) signals and calculate heart rate (HR) through biomedical signal processing techniques. It includes noise filtering and R-peak ...

See features now Methods: In this study, we developed a new six-cognitive-domain task protocol, coupling it with six biomedical monitoring modalities to concurrently capture performance and cognitive ...