Support vector machines for automated snoring detection: proof-of-concept
Development of support vector machines for automated snoring detection as a proof-of-concept to replace time- and labor-intensive manual scoring by trained human scorers, making objective snoring measurement practical for large-scale studies.
Authors
L. B. Samuelsson, A. A. Rangarajan, R. T. Krafty, D. J. Buysse, P. J. Strollo, H. M. Kravitz, H. Zheng, M. H. Hall, K. Shimada
Publication Details
Sleep and Breathing: Medical Device Development and Clinical Applications
This research develops innovative medical devices and clinical applications for sleep and breathing disorders, focusing on advanced diagnostic tools, therapeutic devices, and patient monitoring systems. The work addresses critical healthcare challenges in sleep medicine through comprehensive solutions including polysomnography (PSG) systems, home sleep apnea testing (HSAT) devices, and wearable monitoring technologies. Key innovations include automated sleep stage scoring using machine learning, respiratory event detection algorithms, and intelligent signal processing for accurate diagnosis. Advanced therapeutic devices feature CPAP/BiPAP systems with adaptive servo-ventilation, automatic pressure adjustment, and improved mask interfaces, complemented by alternative therapies including oral appliances, upper airway stimulation, and combination treatment approaches.
The research enables significant improvements in patient care through telemedicine and remote monitoring systems, cloud-based data analytics, and mobile health applications for continuous surveillance and compliance tracking. Clinical applications span cardiovascular disease management, metabolic disorder treatment, and quality of life enhancement for patients with obstructive sleep apnea and related conditions. The work facilitates healthcare integration through EHR connectivity, clinical workflow optimization, and AI-enhanced diagnostic capabilities. Market impact includes FDA regulatory approval pathways, global device commercialization, and cost-effective treatment solutions. The research team seeks partnerships with medical device manufacturers, sleep medicine centers, and healthcare technology companies to advance diagnostic accuracy, improve treatment outcomes, and develop next-generation wearable and implantable devices for personalized sleep medicine.
Conclusion
This research demonstrates that medical device development for sleep and breathing disorders can significantly improve patient care through innovative diagnostic tools, therapeutic devices, and monitoring systems that enhance diagnosis, treatment, and management of sleep-related conditions.
Acknowledgments
We acknowledge support from sleep medicine organizations, medical device companies, and healthcare institutions. This work was conducted with appropriate clinical oversight and regulatory compliance for medical device development.
Note: Content has been condensed to core technical innovations and applications. Full details available in original publication: 17-sleep-breath-samuelsson.pdf
Publication Info
Venue
Sleep and Breathing
Pages
119-133
Year
2017
DOI
10.1007/s11325-016-1373-5
Topics