[HTML][HTML] Current status and future challenges of sleep monitoring systems: Systematic review
Q Pan, D Brulin, E Campo - JMIR Biomedical Engineering, 2020 - biomedeng.jmir.org
Background: Sleep is essential for human health. Considerable effort has been put into
academic and industrial research and in the development of wireless body area networks for …
academic and industrial research and in the development of wireless body area networks for …
[PDF][PDF] Ambient assisted living technologies to support older adults' health and wellness: a systematic mapping review.
MA Choukou, A Polyvyana, Y Sakamoto… - European Review for …, 2021 - europeanreview.org
While the proportion of the Older Adults (OAs) population is growing, this shift raises a
challenging question:“How can we support OAs to lead independent and healthy lifestyle?” …
challenging question:“How can we support OAs to lead independent and healthy lifestyle?” …
Efficient genetic algorithm for feature selection for early time series classification
This paper addresses a multi-objective feature selection problem for early time series
classification. Previous research has focused on how many features to consider for a …
classification. Previous research has focused on how many features to consider for a …
Automatic snoring sounds detection from sleep sounds based on deep learning
Y Jiang, J Peng, X Zhang - Physical and engineering sciences in …, 2020 - Springer
Snoring is a typical characteristic of obstructive sleep apnea hypopnea syndrome (OSAHS)
and can be used for its diagnosis. The purpose of this paper is to develop an automatic …
and can be used for its diagnosis. The purpose of this paper is to develop an automatic …
A deep learning model for snoring detection and vibration notification using a smart wearable gadget
T Khan - Electronics, 2019 - mdpi.com
Snoring, a form of sleep-disordered breathing, interferes with sleep quality and quantity,
both for the person who snores and often for the person who sleeps with the snorer. Poor …
both for the person who snores and often for the person who sleeps with the snorer. Poor …
[HTML][HTML] Heart-lung sound separation by nonnegative matrix factorization and deep learning
W Wang, S Wang, D Qin, Y Fang, Y Zheng - Biomedical Signal Processing …, 2023 - Elsevier
Auscultation is an ordinary way to diagnose cardiovascular and respiratory diseases. The
heart-lung sound (HLS) from the stethoscope is a mixture of heart sound (HS) and lung …
heart-lung sound (HLS) from the stethoscope is a mixture of heart sound (HS) and lung …
Detection of snore from OSAHS patients based on deep learning
F Shen, S Cheng, Z Li, K Yue, W Li… - Journal of Healthcare …, 2020 - Wiley Online Library
Obstructive sleep apnea‐hypopnea syndrome (OSAHS) is extremely harmful to the human
body and may cause neurological dysfunction and endocrine dysfunction, resulting in …
body and may cause neurological dysfunction and endocrine dysfunction, resulting in …
Classification of snoring sound based on a recurrent neural network
SJ Lim, SJ Jang, JY Lim, JH Ko - Expert Systems with Applications, 2019 - Elsevier
Snoring is a sleep disorder that may have adverse effects on an individual's health and
social activities. Polysomnography is the most common way to diagnose snoring but …
social activities. Polysomnography is the most common way to diagnose snoring but …
Conversational ai therapist for daily function screening in home environments
The growth of smart devices is making typical homes more intelligent. In this work, in
collaboration with therapists, we introduce a home-based AI therapist that takes advantage …
collaboration with therapists, we introduce a home-based AI therapist that takes advantage …
Deep learning features for robust detection of acoustic events in sleep-disordered breathing
Sleep-disordered breathing (SDB) is a serious and prevalent condition, and acoustic
analysis via consumer devices (eg smartphones) offers a low-cost solution to screening for …
analysis via consumer devices (eg smartphones) offers a low-cost solution to screening for …