Tampere University of Technology

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Advanced Signal Processing Techniques for Sleep-Disordered Breathing (SDB) Detection Using Emfit Mattress Sensor

Activity: Talk or presentationConference presentation


Jose Perez-Macias Martin - Speaker

Mirja Tenhunen - Contributor

Alpo Värri - Contributor

Sari-Leena Himanen - Contributor

Jari Viik - Contributor

Sleep-disordered breathing (SDB) is a health problem that includes different respiratory issues, ranging from simple snoring, through prolonged partial obstruction (PPO), to obstructive sleep apnea (OSA). New materials and technologies have led to the evolution of unobtrusive sensors such as electromechanical film transducer (Emfit) mattress, to complement the polysomnography in clinical and ambulatory environments. However, the Emfit signal has inherent problems, mainly related to the sensitivity to noise and high variability. We have researched state of the art signal processing methods to infer relevant clinical information from the Emfit sensor. Signal characteristics of the Emfit signal in SDB and its most bothersome symptom, snoring, haven been studied. We have used this knowledge to design methods and machine learning techniques to detect SDB events and epochs, improving overall sensitivity in SDB diagnostics.
26 Jul 2019

Research Group

NameResearch group: Physiological Measurement Systems and Methods Group
Period1/01/17 → …

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ID: 20316882