In recent years, vital signals monitoring in sports and health have been considered the
research focus in the field of wearable sensing technologies. Typical signals include …

Removal of motion artifacts is a critical challenge, especially in wearable
electroencephalography (EEG) and photoplethysmography (PPG) devices that are exposed …

Photoplethysmography (PPG) sensors allow for non-invasive and comfortable heart rate
(HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, motion artifacts …

It is common for people to use wristband-type electronic devices such as smartwatches for
routine healthcare services. Among the healthcare services provided by smartwatches, the …

Wearables are being increasingly used to monitor heart rate (HR). However, their
usefulness for analyzing continuous HR in research or at clinical level is questionable. The …

A new method for accurately estimating heart rates based on a single
photoplethysmography (PPG) signal and accelerations is proposed in this study …

Heart rate (HR) estimation from multisensor PPG signals suffers from the dilemma of
inconsistent computation results, due to the prevalence of bio‐artifacts (BAs). Furthermore …

In this paper, we propose a continuous physiological parameter estimation model based on
a deep learning network for photoplethysmography (PPG) sensor signals. Signals of 8-s …

The frequency modulated continuous wave (FMCW) radar has gained increasing attention
in the field of noncontact vital signs detection. However, the detection of the target chest's …

Heart Rate Variability (HRV) analysis is widely explored in several application fields, such
as emotion recognition. Photoplethysmographic (PPG) signals are often considered for this …