Human activity recognition (HAR) is one of the key applications of health monitoring that
requires continuous use of wearable devices to track daily activities. This article proposes an …

This paper presents a comprehensive survey of Medical Neural Architecture Search
(MedNAS), a burgeoning field at the confluence of deep learning and medical imaging. With …

The increasing diffusion of tiny wearable devices and, at the same time, the advent of
machine learning techniques that can perform sophisticated inference, represent a valuable …

Wearable medical technology has become increasingly popular in recent years. One
function of wearable health devices is stress detection, which relies on sensor inputs to …

Heart diseases impact disproportionately the low-income portion of any society. The lack of
a sufficient number of physicians as well as expensive diagnostic procedures brings forth …

Multi-branch Networks (MBNs) have been successfully applied to myocardial infarction (MI)
diagnosis using 12-lead electrocardiograms. However, most existing MBNs share a fixed …

Low-power internet of things devices have the potential to transform multiple fields including
healthcare, environmental monitoring, and digital agriculture. However, the operating life of …

Equipping wearable devices with intelligence is essential for promoting mobile healthcare
applications. However, challenges remain due to the resource limitations of these devices …

This paper outlines the prevalent challenges for the emerging wearable neurotechnology in
modern IoT systems. We underline the recent insights in neuroscience and the ability to …

Internet of things (IoT) devices are popular in several high-impact applications such as
mobile healthcare and digital agriculture. However, IoT devices have limited operating …