A systematic review of sensing technologies for wearable sleep staging
SA Imtiaz - Sensors, 2021 - mdpi.com
Designing wearable systems for sleep detection and staging is extremely challenging due to
the numerous constraints associated with sensing, usability, accuracy, and regulatory …
the numerous constraints associated with sensing, usability, accuracy, and regulatory …
The 2023 wearable photoplethysmography roadmap
Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …
Sleep stage classification from heart-rate variability using long short-term memory neural networks
Automated sleep stage classification using heart rate variability (HRV) may provide an
ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities …
ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities …
Automated detection of sleep stages using deep learning techniques: A systematic review of the last decade (2010–2020)
Sleep is vital for one's general well-being, but it is often neglected, which has led to an
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
At-home wireless monitoring of acute hemodynamic disturbances to detect sleep apnea and sleep stages via a soft sternal patch
Obstructive sleep apnea (OSA) affects more than 900 million adults globally and can create
serious health complications when untreated; however, 80% of cases remain undiagnosed …
serious health complications when untreated; however, 80% of cases remain undiagnosed …
Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea
Abstract Study Objectives Accurate identification of sleep stages is essential in the diagnosis
of sleep disorders (eg obstructive sleep apnea [OSA]) but relies on labor-intensive …
of sleep disorders (eg obstructive sleep apnea [OSA]) but relies on labor-intensive …
Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations
An electrocardiogram (ECG) is one of the most promising approaches used for the detection
and classification of cardiovascular diseases (CVDs) in recent years. This work reviewed …
and classification of cardiovascular diseases (CVDs) in recent years. This work reviewed …
Deep learning for automated sleep staging using instantaneous heart rate
N Sridhar, A Shoeb, P Stephens, A Kharbouch… - NPJ digital …, 2020 - nature.com
Clinical sleep evaluations currently require multimodal data collection and manual review by
human experts, making them expensive and unsuitable for longer term studies. Sleep …
human experts, making them expensive and unsuitable for longer term studies. Sleep …
Methodologies and wearable devices to monitor biophysical parameters related to sleep dysfunctions: an overview
Sleep is crucial for human health from metabolic, mental, emotional, and social points of
view; obtaining good sleep in terms of quality and duration is fundamental for maintaining a …
view; obtaining good sleep in terms of quality and duration is fundamental for maintaining a …
Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population
Abstract Study Objectives To validate a previously developed sleep staging algorithm using
heart rate variability (HRV) and body movements in an independent broad cohort of …
heart rate variability (HRV) and body movements in an independent broad cohort of …