Apnea MedAssist: Real-time Sleep Apnea Monitor Using Single-Lead ECG

By Majdi Bsoul, Hlaing Minn, Lakshman S. Tamil. IEEE Transactions on Information Technology in Biomedicine, 2011

300 citations recorded by the source corpus.

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mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications (2014, background): “For example, built-in smartphone sensors [10,14] or external wearable devices [11,8,6] may be used to detect abnormal conditions.”
A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG (2015, background): “It has been shown by several authors [5]–[7], [16], [17] that respiratory events can be detected using an ECG derived respiration (EDR).”
Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013, background): “[65] have proposed dozens of features, the main focus of research is to consider R points (the pick point of each beat), and its properties in ECG pulses such as R-R intervals, pick counts, etc.”
The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students (2012, background): “Another study entailed connecting a single-lead ECG to a smartphone to diagnose and follow treatment with sleep apnea [12], providing a possible alternative to costly and labor-intensive polysomnography.”
ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges (2020, background): “Bsoul et al. [6] designed MedAssist, a continuous, real-time, single-lead, wireless monitoring system for the diagnosis of sleep apnea.”