University of Tsukuba, Japan

RIKEN Brain Science Institute, Japan

Presentation title: Recent Developments in Multimodal Physiological Signal Processing for Sleep Analysis

Slides: [link].

Abstract: Sleep studies became recently a very hot topic in health and biomedical signal processing research domains. Sleep has a huge impact on human brain in relation to learning, memory formation and creativity. Our civilization is depraving people of sleep. There are also many medical conditions like sleep apnea of which proper diagnosis and therapy is a vital importance to many people. Sleep monitoring is a fascinating challenge in biomedical signal processing comprising brain (EEG) and body peripheral electrophysiological (EOG, EMG, EKG, etc.), acoustic (breath and snoring sounds), body movements and temperature, skin conductance, etc. The multimodality of the above signals recorded at different scales is a fascinating and challenging approach. The lecture will review the state of the art approaches to multimodal signal processing, feature extraction and machine learning in application to sleep studies.

Bio: Tomasz M. RUTKOWSKI received his M.Sc. in Electronics and Ph.D. in Telecommunications and Acoustics from Wroclaw University of Technology, Poland, in 1994 and 2002, respectively. He received a postdoctoral training at the Multimedia Laboratory, Kyoto University, and in 2005-2010 he worked as a research scientist at RIKEN Brain Science Institute, Japan. Currently he serves as an assistant professor at the University of Tsukuba and as a visiting scientist at RIKEN Brain Science Institute. Professor Rutkowski’s research interests include computational neuroscience, especially brain-computer interfacing technologies, computational modeling of brain processes, neurobiological signal and information processing, multimedia interfaces and interactive technology design. He received The Annual BCI Research Award 2014 for the best brain-computer interface project. He is a senior member of IEEE, a member of the Society for Neuroscience, and the Asia-Pacific Signal and Information Processing Association (APSIPA) where he serves as BioSiPS Technical Committee Chairman. He is a member of the Editorial Board of Frontiers in Fractal Physiology and serves as a reviewer for “IEEE TNNLS, IEEE TSMC – Part B, Cognitive Neurodynamics, and the Journal of Neural Engineering, PLOS One, Nature Scientific Reports, etc.

Dr. Gene CHEUNG

National Institute of Informatics, Japan

Presentation title: Apnoea Detection via Depth Video Recording and Analysis

Slides: [link]

Abstract: Quality of sleep greatly affects a person’s physiological well-being. Traditional sleep monitoring systems are expensive in cost and intrusive enough that they disturb the natural sleep of clinical patients. We propose a non-intrusive sleep monitoring system to first record depth video in real-time via an efficient implementation of H.264. The recorded depth video is then denoised and analyzed to extract relevant features - which track a patient’s chest and abdomen movements over time - for a robust graph-based classifier, which detects episodes of apnoea or hypopnoea. I will overview the technologies that enable such an approach and future challenges.

Bio: Gene Cheung received the B.S. degree in electrical engineering from Cornell University in 1995, and the M.S. and Ph.D. degrees in electrical engineering and computer science from the University of California, Berkeley, in 1998 and 2000, respectively.

He was a senior researcher in Hewlett-Packard Laboratories Japan, Tokyo, from 2000 till 2009. He is now an associate professor in National Institute of Informatics in Tokyo, Japan. He is an adjunct associate professor in the Hong Kong University of Science & Technology (HKUST) since 2015.

His research interests include image & video representation, immersive visual communication and graph signal processing. He has served as associate editor for IEEE Transactions on Multimedia (2007-2011) and DSP Applications Column in IEEE Signal Processing Magazine (2010-2014). He currently serves as associate editor for IEEE Transactions on Image Processing (2015-present), SPIE Journal of Electronic Imaging (2014-present) and APSIPA Journal on Signal & Information Processing (2011-present), and as area editor for EURASIP Signal Processing: Image Communication (2011-present). He will serve as associate editor for IEEE Circuits and Systems for Video Technology starting 2016. He served as a member of the Multimedia Signal Processing Technical Committee (MMSP-TC) in IEEE Signal Processing Society (2012-2014), and a member of the Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP-TC) (2015-2017). He has also served as technical program co-chair of International Packet Video Workshop (PV) 2010 and IEEE International Workshop on Multimedia Signal Processing (MMSP) 2015 and symposium co-chair for CSSMA Symposium in IEEE GLOBECOM 2012. He is a co-author of best student paper award in IEEE Workshop on Streaming and Media Communications 2011 (in conjunction with ICME 2011), best paper finalists in ICME 2011, ICIP 2011 and ICME 2015, best paper runner-up award in ICME 2012 and best student paper award in ICIP 2013.

Dr. Kevin CHAN

Campbelltown and Camden Hospitals, Sydney, AustraliaSouth West Local Area Health Service, New South Wales, AustraliaSchool of Medicine, University of Western Sydney, Australia

Title: The clinical presentation, diagnosis and treatment of OSA will be discussed

Slides: [link]

Abstract: Obstructive sleep apnoea (OSA) is a condition with high prevalence. Snoring and witnessed apnoeas are the most classical manifestations but the condition is related to a range of other symptoms. The condition also has strong associations with several important cardiovascular and metabolic conditions.

Bio: Dr Chan was awarded the Fellowship of the Royal Australasian College of Physicians in 2007 and has been practising as a Consultant Physician in Sleep and Respiratory Medicine since then.

His main research interests include: the relationship between obstructive sleep apnoea and chronic cough and the diagnosis of obstructive sleep apnoea using video modalities.

Dr. Shunji MOROMUGI

Chuo University, Japan

Presentation title: An Inflatable Headgear with Active Airbag Systems to Manage Upper Airway During Sleep by Head Position Control

Slides: [link]

Abstract: A headgear with active airbag systems has been developed to support user's aspiration during sleep. This headgear automatically inflates and slowly moves user's head to a position in which the airway is the most opened when abnormal breathing such as apnea and snoring are detected by sensors. The details of the system and recent results of evaluation tests are presented.

Bio: Shunji Moromugi received BSc degree in Engineering from Faculty of Engineering, Nagasaki University in 1997 and MSc degree in Engineering from Graduate School of Information Systems, The University of Electro-Communications in 1999 and received Ph.D. degree in Civil Engineering from the Henry Samueli Graduate School of Engineering, University of California, Irvine in 2003. He was appointed as Research Associate in 2002 and as Assistant Professor in 2007 in the School of Engineering, Nagasaki University. He has been appointed as Associate Professor in the Department of Electrical, Electronic and Communication Engineering in the Faculty of Science and Engineering, Chuo University since April, 2014. His current research themes include technology to support the disabled through the application of biometric information measurement technology and robot technology, as well as the development of medical robots and medical devices.

Dr. Chia-Wen LIN

National Tsing Hua University (NTHU), Taiwan

National Institute of Informatics, Japan

Presentation title: Social Media Analysis and Its Application in Sleep Monitoring

Slides: [link]

Abstract: Social media, such as Facebook, Flickr, Twitter, and Pinterest, have been getting more and more popular in our daily life. Social media analysis has also found many successful practical applications. This talk will give a brief overview about social media analysis and its applications. More specifically, I will show some applications in summarization and recommendation of group activities and shared media contents, user interests mining, and group clustering. Moreover, possible applications of social media analysis in sleep monitoring, like healthcare for patients and detection of sleeping problems, will be discussed.

Bio: Chia-Wen Lin received his Ph.D. degree in electrical engineering from National Tsing Hua University (NTHU), Hsinchu, Taiwan, in 2000. He is currently Professor with the Department of Electrical Engineering, NTHU. Since August 2015, he has been taking a sabbatical leave from NTHU to visit NII, Tokyo, Japan. His research interests include image and video processing, social media analysis, and video networking. Dr. Lin has served as Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Multimedia, and Journal of Visual Communication and Image Representation. He was Distinguished Lecturer of Asia-Pacific

Signal & Information Processing Association (APSIPA).

Pictures from the event