The immense progress in physiological signal acquisition and processing in health
monitoring allowed a better understanding of patient disease detection and diagnosis. With …

Over the past decade, wearable medical devices (WMDs) have become the norm for
continuous health monitoring, enabling real-time vital sign analysis and preventive …

In this paper, we develop a framework for a novel perceptive mobile/cellular network that
integrates radar sensing function into the mobile communication network. We propose a …

A novel method for the electrocardiogram (ECG) beat classification according to a
combination of projected and dynamic features is presented. Projected features are derived …

Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the
scientific community and the industry. Driven by technological advances in sensing, wireless …

This paper presents an ECG denoising technique using merits of discrete wavelet transform
(DWT) and non-local means (NLM) estimation. The NLM-based approach is quite effective …

Energy consumption is an important issue in continuous wireless telemonitoring of
physiological signals. Compressed sensing (CS) is a promising framework to address it, due …

The tremendous progress of big data acquisition and processing in the field of neural
engineering has enabled a better understanding of the patient's brain disorders with their …

Remote electrocardiogram (ECG) monitoring plays a very important role in the prevention
and treatment of cardiovascular diseases. However, the current long-term ECG monitoring …

Current medical practice of long-term chronic respiratory diseases treatment lacks a
convenient method of empowering the patients and caregivers to continuously quantitatively …