Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …

Human-robot teams collaborating to achieve tasks under various conditions, especially in
unstructured, dynamic environments will require robots to adapt autonomously to a human …

The electrocardiogram (ECG) is an emerging novel biometric for human identification. One
challenge for the practical use of ECG as a biometric is minimizing the time needed to …

Ambulation Analysis in Wearable ECG Subhasis Chaudhuri, Tanmay Pawar, Siddhartha
Duttagupta Ambulation Analysis in Wearable ECG demonstrates why, due to recent …

ECGs are important biomedical signals, which are reflective of an electric activity of the
heart. They form a subject of intensive research for over 100 years. ECG signals are one of …

Impulse radio ultra-wide band (IR-UWB) radar has recently emerged as a promising
candidate for non-contact monitoring of respiration and heart rate. Different studies have …

The paper proposes a phase-space based algorithm applying the Euclidian distance
measure enabling detection of heartbeats and characteristic (fiducial) points from a single …

The paper proposed dynamic direct heart rate algorithms in wearable device. Green light
LED to direct heart rate is very popular in recent years which used analogy signal feedback …

False alarms in cardiac monitoring affect the quality of medical care, impacting on both
patients and healthcare providers. In continuous cardiac monitoring using wireless Body …

Ambulatory ECG analysis is adversely affected by motion artifacts induced due to body
movements. Knowledge of the extent of motion artifacts facilitates better ECG analysis. In [1] …