Non-invasive photoplethysmography (PPG) technology was developed to track heart rate
during motion. Automated analysis of PPG has made it useful in both clinical and non …

This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …

The healthcare‐related functions of wearable devices are very useful for continuous
monitoring of biological information. Wearable devices equipped with communication …

It is very challenging to estimate the accurate heart rate/beat during intense physical
activities due to corruption of motion artifacts (MAs). However, it is difficult to reconstruct a …

This study investigated the application of a modified percussion entropy index (PEIPPI) in
assessing the complexity of baroreflex sensitivity (BRS) for diabetic peripheral neuropathy …

Motion artifacts (MAs) are significant sources of noise in wearable devices that are used to
collect biological information from the human body. Photoplethysmography (PPG) is an …

In this paper, adaptive filter based on adaptive algorithms like least mean square (LMS),
normalised least mean square (NLMS) and recursive least square (RLS) are used for the …

Heart rate (HR), which is the count for number of times heart beats in a minute and its
continuous change over a period of time is called as Heart Rate Variability (HRV), along with …

Photoplethysmography (PPG) monitoring with wrist-wearable devices appears as a non-
invasive method, enabling longterm monitoring of the heart rate and thus, improving …

Photoplethysmography (PPG) is mainly used to find skin blood flow. Volumetric change of
blood flow indicates cardiac rhythm, due to that there is a possibility to monitor the heart rate …