A review of approaches for sleep quality analysis
Sleep quality is directly related to overall wellness and can reveal symptoms of several
diseases. However, the term “sleep quality” still lacks a definitional consensus and is …
diseases. However, the term “sleep quality” still lacks a definitional consensus and is …
Sensor-driven achieving of smart living: A review
P Leelaarporn, P Wachiraphan, T Kaewlee… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This comprehensive review mainly analyzes and summarizes the recently published works
on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research …
on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research …
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 …
Microwave sensing and sleep: Noncontact sleep-monitoring technology with microwave biomedical radar
A good night's sleep is an important part of a healthy life. Sleep can affect quality of life as
much as eating and exercise do. Unfortunately, the accelerated pace and pressure of life …
much as eating and exercise do. Unfortunately, the accelerated pace and pressure of life …
Noncontact sleep stage estimation using a CW Doppler radar
Sleep stage estimation is crucial to the evaluation of sleep quality and is a proven biometric
in diagnosing cardiovascular diseases. In this paper, we design a continuous wave (CW) …
in diagnosing cardiovascular diseases. In this paper, we design a continuous wave (CW) …
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 …
Tracheal sound analysis using a deep neural network to detect sleep apnea
H Nakano, T Furukawa, T Tanigawa - Journal of Clinical Sleep …, 2019 - jcsm.aasm.org
Study Objectives: Portable devices for home sleep apnea testing are often limited by their
inability to discriminate sleep/wake status, possibly resulting in underestimations. Tracheal …
inability to discriminate sleep/wake status, possibly resulting in underestimations. Tracheal …
[HTML][HTML] Sleep staging using nocturnal sound analysis
Sleep staging is essential for evaluating sleep and its disorders. Most sleep studies today
incorporate contact sensors that may interfere with natural sleep and may bias results …
incorporate contact sensors that may interfere with natural sleep and may bias results …
Human biometric signals monitoring based on wifi channel state information using deep learning
In this paper, we first present a single-input, multiple-output convolutional neural network
that can estimate both heart rate and respiration rate simultaneously by exploiting the …
that can estimate both heart rate and respiration rate simultaneously by exploiting the …
IoT-based unobtrusive sensing for sleep quality monitoring and assessment
Aging population is a worldwide trend, which has created a societal crisis as many countries
face the challenges of supporting an aging population with increasing costs of healthcare …
face the challenges of supporting an aging population with increasing costs of healthcare …