Flexible electronics have recently gained considerable attention due to their potential to
provide new and innovative solutions to a wide range of challenges in various electronic …

The application of artificial intelligence (AI) to the electrocardiogram (ECG), a ubiquitous and
standardized test, is an example of the ongoing transformative effect of AI on cardiovascular …

Although it has long been known that the immune cell composition has a strong prognostic
and predictive value in colorectal cancer (CRC), scoring systems such as the immunoscore …

Deep neural networks with applications from computer vision to medical diagnosis,,,–are
commonly implemented using clock-based processors,,,,,,,–, in which computation speed is …

Objective: Vast 12-lead ECGs repositories provide opportunities to develop new machine
learning approaches for creating accurate and automatic diagnostic systems for cardiac …

Surface electromyography (sEMG) can provide multiplexed information about muscle
performance. If current sEMG electrodes are stretchable, arrayed, and able to be used …

Electrocardiogram (ECG) recordings are indicative for the state of the human heart.
Automatic analysis of these recordings can be performed using various computational …

Electrocardiography (ECG) is a very common, non-invasive diagnostic procedure and its
interpretation is increasingly supported by algorithms. The progress in the field of automatic …

The dramatic progresses of wireless technologies and wearable devices have significantly
promoted the development and popularity of smart home, while digital twin (DT) emerges as …

Remote monitoring devices, which can be worn or implanted, have enabled a more effective
healthcare for patients with periodic heart arrhythmia due to their ability to constantly monitor …