Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …

In Ambient Intelligence (AmI), the activity a user is engaged in is an essential part of the
context, so its recognition is of paramount importance for applications in areas like sports …

The electroencephalogram (EEG) is a classic noninvasive method for measuring a person's
brainwaves and is used in a large number of fields: from epilepsy and sleep disorder …

Compressed sensing (CS) is an emerging signal processing paradigm that enables sub-
Nyquist processing of sparse signals such as electrocardiogram (ECG) and electromyogram …

The accelerating pace of research in neuroscience has created a considerable demand for
neural interfacing microsystems capable of monitoring the activity of large groups of …

This article provides an overview of body area sensor networks (BASNs), an application of
wireless technology that changed health care to suit the comfort of the population. There are …

Body-worn sensor systems will help to revolutionize the medical field by providing a source
of continuously collected patient data. This data can be used to develop and track plans for …

This article explores the implementation of different sampling strategies for a practical
energy‐harvesting wireless device (sensor node) powered by a rechargeable battery. We …

Wireless sensor networks (WSNs) often have limited battery capacity-sensor nodes (SNs),
which severely limit continuous monitoring-based Internet-of-Things applications. To …

The COVID-19 pandemic highlighted the importance of widespread testing for SARS-CoV-2,
leading to the development of various new testing methods. However, traditional invasive …