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iDREAM - This AI powered model can detect sleep apnea at home

Sleep Medicine Center at China Medical University Hospital (CMUH, Taiwan) has introduced AI powered smart solution to accurately detect symptoms of sleep apnea. Read More

Sunday March 31, 2024 0:12 AM, ummid.com News Network

[Research suggest that snoring may be a warning sign of sleep apnea for 50% of individuals, a serious condition that could lead to sudden death during sleep, as stated by Dr. Tsou, Director of the Laryngology Division at CMUH. Dr. Liang-Wen Hang, Chief of CMUH's Sleep Medicine Center, emphasizes the role of AI-driven ECG analysis in enhancing the medical team's ability to accurately identify obstructive sleep apnea syndrome (OSAS).]

Taichung: Sleep Medicine Center at China Medical University Hospital (CMUH, Taiwan) has introduced AI powered smart solution to accurately detect symptoms of sleep apnea at home.

Named iDREAM - Intelligent Detection of Respiratory Events through Automated Monitoring, incorporates Quanta's QOCA Portable ECG Monitoring Device, as a simple solution to efficiently detect symptoms of apnea patients during their sleep at home.

iDREAM has so far been tested on more than 100 patients.

With this AI-powered ECG analysis, CMUH's Physicians are able to identify Obstructive Sleep Apnea Syndrome (OSAS) more accurately and to reduce the time spent for diagnosis and treatment.

Snoring can be an alarming sign of Obstructive Sleep Apnea Syndrome (OSAS). Studies showed that 50% of individuals who snore may experience sleep apnea, which can lead to life-threatening conditions such as heart disease, hypertension, intracerebral hemorrhage, stroke, and even sudden death during night-time in severe cases.

How iDREAM works?

iDREAM , the home-based sleep detection system, detects ECG change from OSAS episodes and determines severity using its deep learning methodology. It demonstrates 92.7% and 93.2% accuracy for sleep apnea and wake-up events (interruption of sleep from apnea), and 95.8% accuracy for defining severe OSAS (30 episodes per hour).

iDREAM is still undergoing clinical testing but plans are in place to file for Taiwan Food and Drug Administration smart medical device certification and then formal introduce it into clinical practice. It is expected to be impactful in sleep medicine.

Dedicated to the application of clinical information, AI Center at CMUH trains artificial neural networks using the Hospital's medical data. Such models can provide suggestions in clinical diagnostics and may be combined with clinical decision-making systems to lessen the burden on healthcare personnel.

CMUH AI Center has already obtained more than a dozen certifications for intelligent medical materials from Taiwan Food and Drug Administration. It will continue to research and innovate, bringing more anticipated breakthroughs and evolutions in the field of smart healthcare.

 

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