The evolution of smartphones together with increasing computational power has
empowered developers to create innovative context-aware applications for recognizing user …

MEG-EEG Primer presents the basic A-to-Z of two non-invasive human electrophysiological
methods, magnetoencephalography (MEG) and electroencephalography (EEG). These …

Background and objectives Detection of the R-peak pertaining to the QRS complex of an
ECG signal plays an important role for the diagnosis of a patient's heart condition. To …

ECG signals are often corrupted by 50 Hz noise, the frequency from the power supply. So it
becomes quite necessary to remove Power Line Interference (PLI) from the ECG signal. The …

Purpose The purpose of this paper is to design a human health monitoring system (HHMS)
which helps in improving diagnostics at an earlier stage and monitoring after recoup …

The information regarding any abnormal behaviour in the physiological parameters of a
patient should reach the remote healthcare personal immediately in real time, so as to take …

Purpose This paper aims to concentrate on recent innovations in flexible wearable sensor
technology tailored for monitoring vital signals within the contexts of wearable sensors and …

High quality Electrocardiogram (ECG) data is very important because this signal is generally
used for the analysis of heart diseases. Wearable sensors are widely adopted for physical …

The presented first-of-its-kind study effectively identifies and visualizes the second-by-
second pattern differences in the physiological arousal of preschool-age children who do …

Biomedical Wireless Sensor Network (BWSN) is used to convey the physiological
parameters of a patient in any abnormal condition to the healthcare personnel in real-time …