Obstructive sleep apnea (OSA) is a highly prevalent condition, resulting in recurrent hypoxic
events, sleep arousal, and daytime sleepiness. Patients with OSA are at an increased risk of …

Electrocardiogram (ECG) are the physiological signals and a standard test to measure the
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …

Artificial intelligence-enabled applications on edge devices have the potential to
revolutionize disease detection and monitoring with smart health (sHealth) applications. The …

Obstructive Sleep Apnea (OSA) is the cessation in breathing that must be identified as early
as possible to save the patient's life. Apart from physical diagnosis, a deep learning model …

Everyday wearables with enhanced computational capacity, good quality sensors, and
machine learning/artificial intelligence enabled algorithms have the potential to play a key …

Abstract Purpose of Review Wearable technologies, both clinical and consumer devices,
have gained tremendous popularity in recent years. They can monitor various parameters …

Sleep apnea (SA) is a prevalent sleep disorder that affects a significant portion of the adult
population. The proposed method involves coarse graining a signal at different scales, using …

Continuous monitoring of Electrocardiogram (ECG) sensor signals using smart-health
devices can significantly improve the ability and efficacy of clinicians to diagnose and …

Sleep apnea (SA) is a potentially serious yet often unnoticed sleep disorder characterized
by repeated cessation and resumption of breathing. The noninvasive and real-time detection …

Respiration rate is one of the important measures of any physiological changes in human
body. In this paper, an inertial measurement unit (IMU) is used to detect the chest movement …