EVENT

Talk by Prof. Thomas Plageman from University of Oslo: "Towards Sleep Apnea Detection with Consumer Electronics and Machine Learning"

Title:

Towards Sleep Apnea Detection with Consumer Electronics and Machine Learning

Speaker:

Prof. Thomas Plageman
University of Oslo

Time/Date:

17:00-18:00　/　December 16, Monday

Place:

15F meeting room #1512, NII
https://www.nii.ac.jp/en/about/access/

Abstract:

Obstructive sleep apnea (OSA) is a common, but severely under-diagnosed sleep disorder that affects the natural breathing cycle during sleep with the periods of reduced respiration or no airflow at all. It is the long-term goal of the Cesar project (RCN, FriPro) to increase the percentage of diagnosed OSA cases, reduce the time to diagnosis, and support long term monitoring of patients with user friendly and cost-efficient tools for sleep analysis at home. Core elements are mobile computing platforms (e.g., smartphones), consumer electronics sensors, and machine learning (ML) for OSA detection.
In this presentation, we will give some background on OSA and discuss some of the studies we have performed in the project. Using public data sets from physionet.org<http://physionet.org> we could show that "simple" ML techniques could achieve rather high classification performance even for only one signal using a high-quality data set. Under lab conditions we could show that some of the available low-cost breathing sensors produce good data - compared to the gold standard for unattended sleep monitoring at home. Due to the collaboration with the ongoing A3 study at the Oslo University Hospital we could use one of these low-cost sensors for sleep monitoring of 50 patients at home. The resulting data is in its raw format of low quality and required thorough preprocessing. Furthermore, we discuss how data augmentation with Generative Adversarial Networks can be used to increase, re-balance and personalize data sets. We will conclude the presentation with a discussion about the future technical challenges as well as some challenges that need to be addressed by law and ethics.

Short Bio:

Thomas Plageman received the Dr. Sc. degree in computer science from the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 1994, with the Medal of ETH Zurich in 1995. He has been a Professor with the University of Oslo, Oslo, Norway, since 1996. He currently leads the Research Group in Distributed Multimedia Systems, Department of Informatics, University of Oslo. He has published over 200 papers in peer-reviewed journals, conferences, and workshops in his field. His research interests include protocol architectures and middleware solutions for multimedia communication and mobile systems, future Internet, and multimodal sensor systems, complex event processing, and machine learning with physiological time-series data. He is a member of the Association for Computing Machinery (ACM). He serves as Associate Editor for the ACM Transactions on Multimedia Computing, Communication, and Applications and Editor-in-Chief for Multimedia Systems (Springer).