This work develops a thorough review of bioimpedance systems for healthcare applications.
The basis and fundamentals of bioimpedance measurements are described covering issues …

Healthcare is expected to increasingly shift care out of inpatient settings thanks to wearable
monitoring systems. Photoplethysmography (PPG) is an optical technique already integrated …

Although high-dimensional clinical data (HDCD) are increasingly available in biobank-scale
datasets, their use for genetic discovery remains challenging. Here we introduce an …

This paper presents a deep learning model'PP-Net'which is the first of its kind, having the
capability to estimate the physiological parameters: Diastolic blood pressure (DBP), Systolic …

The photoplethysmogram (PPG) signal is widely measured by clinical and consumer
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …

UAVs have numerous emerging applications in various domains of life. However, it is
extremely challenging to gain the required level of public acceptance of UAVs without …

Recent research indicates that Photoplethysmography (PPG) signals carry more information
than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive …

According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …

The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …

Presently modern technology makes a significant contribution to the transition from
traditional healthcare to smart healthcare systems. Mobile health (mHealth) uses advances …