The vital signs can vary significantly depending on the daily physical activities, which may
not be due to defects of the organs. Under remote human health-monitoring applications, for …

Due to the high demands of tiny, compact, lightweight, and low-cost photoplethysmogram
(PPG) monitoring devices, these devices are resource-constrained including limited battery …

Photoplethysmography (PPG) is a non-invasive technique used in wearable devices to
measure vital signs (eg, heart rate). The method is, however, highly susceptible to motion …

Automatic and reliable detection of R peak from electrocardiogram (ECG) signal is essential
in both pathological and nonpathological applications. The presence of various kinds of …

On-device computing in biomedical sensors has become attractive for developing wearable
health monitoring systems. The challenge is to make a compromise between the latency and …

Objective: The proliferation of wearable devices has escalated the standards for
photoplethysmography (PPG) signal quality. This study introduces a lightweight model to …

Military accidents are often associated with stress and depressive psychological conditions
among soldiers, and they often fail to adapt to military life. Therefore, this study analyzes …

Smart wearable and portable healthcare devices are used for continuous patient health
monitoring but have limited battery power and on-board memory. Therefore, there is a huge …

Photoplethysmography (PPG) signals are vital for monitoring pulse rate, blood pressure, and
more, but they are prone to motion artefacts and noise, leading to unreliable data. Assessing …

Energy-constrained vital monitoring devices highly demand energy-efficient pulse rate (PR)
estimation from photoplethysmogram (PPG) signal. In this paper, we propose a …