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[HTML][HTML] Detection of sleep apnea using wearable AI: systematic review and meta-analysis
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 …
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
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 …
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
Background Polysomnography (PSG) is the gold standard for detecting obstructive sleep
apnea (OSA). However, this technique has many disadvantages when using it outside the …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
Sleep Apnea (SA) can cause health complications including heart stroke and neurological
disorders. The Polysomnography (PSG) test can detect the severity of sleep disturbance …
disorders. The Polysomnography (PSG) test can detect the severity of sleep disturbance …
SpiroMask: measuring Lung function using consumer-grade masks
According to the World Health Organisation (WHO), 235 million people suffer from
respiratory illnesses which causes four million deaths annually. Regular lung health …
respiratory illnesses which causes four million deaths annually. Regular lung health …