Hypertension is an immense challenge in public health. As one of the most prevalent
medical conditions worldwide, it is a major cause of premature death. At present, the …

A non-invasive optical technique known as photoplethysmography (PPG) can be used to
provide various physiological measurements and estimations. PPG can be used to assess …

Photoplethysmography (PPG) provides a non-invasive method to detect heart rate but, due
to inherent noise, fails to accurately and reliably capture the true heartbeat waveform and …

Strict privacy regulations pose challenges to the development of machine learning (ML) in
the field of health technology where data is particularly sensitive. Gathering and using …

We present FinDroidHR, a novel gesture input technique for off-the-shelf smartwatches. Our
technique is designed to detect 10 hand gestures on the hand wearing a smartwatch. The …

Emerging Internet of Things (IoT) applications, such as sensor-based Human Activity
Recognition (HAR) systems, require efficient machine learning solutions due to their …

This article describes the design of a smart steering wheel intended for use in unobtrusive
health and drowsiness monitoring. The aging population, cardiovascular disease …

Our daily lives are impacted by object detection in many ways, such as automobile driving,
traffic control, medical fields, etc. Over the past few years, deep learning techniques have …

Medical devices (MDs) have been designed for monitoring the parameters of patients in
many sectors. Nonetheless, despite being high-performing and reliable, they often turn out …

The grown interest in healthcare applications has made biomedical engineering one of the
fastest growing disciplines in recent years. Photoplethysmography (PPG) has gained …