[HTML][HTML] Detection of sleep apnea using wearable AI: systematic review and meta-analysis

A Abd-Alrazaq, H Aslam, R AlSaad, M Alsahli… - Journal of Medical …, 2024 - jmir.org
Background Early detection of sleep apnea, the health condition where airflow either ceases
or decreases episodically during sleep, is crucial to initiate timely interventions and avoid …

[HTML][HTML] Internet of robotic things for independent living: Critical analysis and future directions

M Sandhu, D Silvera-Tawil, P Borges, Q Zhang, B Kusy - Internet of Things, 2024 - Elsevier
The elderly population is growing rapidly around the world. At the same time, the number of
people living with a disability is increasing. Due to lower immunity, decreased mobility, and …

Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor

ÁS Alarcón, NM Madrid, R Seepold… - Frontiers in …, 2023 - frontiersin.org
Background Polysomnography (PSG) is the gold standard for detecting obstructive sleep
apnea (OSA). However, this technique has many disadvantages when using it outside the …

Exploring the landscape of ubiquitous in-home health monitoring: A comprehensive survey

F Pourpanah, A Etemad - ACM Transactions on Computing for …, 2024 - dl.acm.org
Ubiquitous in-home health monitoring systems have become popular in recent years due to
the rise of digital health technologies and the growing demand for remote health monitoring …

[HTML][HTML] Utilizing Multi-Class Classification Methods for Automated Sleep Disorder Prediction

E Dritsas, M Trigka - Information, 2024 - mdpi.com
Even from infancy, a human's day-life alternates from a period of wakefulness to a period of
sleep at night, during the 24-hour cycle. Sleep is a normal process necessary for human …

Energy efficient deep learning inference embedded on FPGA for sleep apnea detection

O Hassan, T Paul, MH Shuvo, D Parvin… - Journal of Signal …, 2022 - Springer
Sleep apnea is a type of disorder caused by the absence of breathing for a specific period of
time coupled with a significant decrease in the blood oxygen saturation level. The …

Vital Insight: Assisting Experts' Sensemaking Process of Multi-modal Personal Tracking Data Using Visualization and LLM

J Li, J Steinberg, X Li, A Choube, B Yao… - arxiv preprint arxiv …, 2024 - arxiv.org
Researchers have long recognized the socio-technical gaps in personal tracking research,
where machines can never fully model the complexity of human behavior, making it only …

[HTML][HTML] A clinical evaluation of a low-cost strain gauge respiration belt and machine learning to detect sleep apnea

S Kristiansen, K Nikolaidis, T Plagemann, V Goebel… - Smart Health, 2023 - Elsevier
Sleep apnea is a common and severe sleep-related respiratory disorder. Since the
symptoms of sleep apnea are often ambiguous, it is difficult for a physician to decide …

ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks

S Khandelwal, N Salankar, S Mian Qaisar, J Upadhyay… - Plos one, 2023 - journals.plos.org
Sleep Apnea (SA) can cause health complications including heart stroke and neurological
disorders. The Polysomnography (PSG) test can detect the severity of sleep disturbance …

SpiroMask: measuring Lung function using consumer-grade masks

R Adhikary, D Lodhavia, C Francis, R Patil… - ACM Transactions on …, 2023 - dl.acm.org
According to the World Health Organisation (WHO), 235 million people suffer from
respiratory illnesses which causes four million deaths annually. Regular lung health …