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- research-articleJune 2021
ApneaDetector: Detecting Sleep Apnea with Smartwatches
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 5, Issue 2Article No.: 59, Pages 1–22https://doi.org/10.1145/3463514Sleep apnea is a sleep disorder in which breathing is briefly and repeatedly interrupted. Polysomnography (PSG) is the standard clinical test for diagnosing sleep apnea. However, it is expensive and time-consuming which requires hospital visits, ...
- research-articleFebruary 2020
A cost-effective and non-invasive system for sleep and vital signs monitoring using passive RFID tags
MobiQuitous '19: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and ServicesNovember 2019, Pages 153–161https://doi.org/10.1145/3360774.3360797Inadequate sleep has very bad impacts on human daily life activities. Sleep disorders are one of the main reasons for the inadequate sleep problem. Diagnosis of these disorders is a very challenging task because they occur at night when the patients are ...
- posterJuly 2015
RF powered sleep apnea monitoring system
PETRA '15: Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive EnvironmentsJuly 2015, Article No.: 98, Pages 1–2https://doi.org/10.1145/2769493.2769588Sleep Apnea is a chronic and widespread problem that is characterized by periods of pauses in breathing during sleep. It can lead to several life threatening conditions if left undiagnosed. Conventional methods of diagnosing sleep apnea involve ...
- research-articleJune 2015
UbiBreathe: A Ubiquitous non-Invasive WiFi-based Breathing Estimator
MobiHoc '15: Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and ComputingJune 2015, Pages 277–286https://doi.org/10.1145/2746285.2755969Monitoring breathing rates and patterns helps in the diagnosis and potential avoidance of various health problems. Current solutions for respiratory monitoring, however, are usually invasive and/or limited to medical facilities. In this paper, we ...
- ArticleNovember 2011
Apnea detection based on hidden Markov model Kernel
NOLISP'11: Proceedings of the 5th international conference on Advances in nonlinear speech processingNovember 2011, Pages 71–79This work presents a new system to diagnose the syndrome of obstructive sleep apnea (OSA) that includes a specific block for the removal of Electrocardiogram (ECG) artifacts and the R wave detection. The system is modeled by ECG cepstral coefficients. ...