Deep learning for healthcare applications based on physiological signals: A review
Background and objective: We have cast the net into the ocean of knowledge to retrieve the
latest scientific research on deep learning methods for physiological signals. We found 53 …
latest scientific research on deep learning methods for physiological signals. We found 53 …
Heart rate estimation from wrist-worn photoplethysmography: A review
D Biswas, N Simões-Capela, C Van Hoof… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a low-cost, non-invasive, and optical technique used to
detect blood volume changes in the microvascular tissue bed, measured from the skin …
detect blood volume changes in the microvascular tissue bed, measured from the skin …
A review of obstructive sleep apnea detection approaches
F Mendonca, SS Mostafa… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep disorders are a common health condition that can affect numerous aspects of life.
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
A review of automated sleep stage scoring based on physiological signals for the new millennia
Abstract Background and Objective Sleep is an important part of our life. That importance is
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review
Sleep apnea (SA) is a common sleep disorder that is not easy to detect. Recent studies have
highlighted ECG analysis as an effective method of diagnosing SA. Because the changes …
highlighted ECG analysis as an effective method of diagnosing SA. Because the changes …
Diagnosis of obstructive sleep apnea from ECG signals using machine learning and deep learning classifiers
Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the
shortage of oxygen for the human body, which causes several symptoms (ie, low …
shortage of oxygen for the human body, which causes several symptoms (ie, low …
A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction
Availability of low-cost, reliable, and portable Electrocardiography (ECG) devices is still very
important in the medical world today. Despite the tremendous technological advancement …
important in the medical world today. Despite the tremendous technological advancement …
OSACN-Net: automated classification of sleep apnea using deep learning model and smoothed Gabor spectrograms of ECG signal
Obstructive sleep apnea (OSA) is a severe sleep-associated respiratory disorder, caused
due to periodic disruption of breath during sleep. It may cause a number of serious …
due to periodic disruption of breath during sleep. It may cause a number of serious …
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals
Sleep apnea is a common condition that is characterized by sleep-disordered breathing.
Worldwide the number of apnea cases has increased and there has been a growing number …
Worldwide the number of apnea cases has increased and there has been a growing number …
Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals
Obstructive sleep apnea (OSA) is a sleep disorder caused due to interruption of breathing
resulting in insufficient oxygen to the human body and brain. If the OSA is detected and …
resulting in insufficient oxygen to the human body and brain. If the OSA is detected and …