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Second International Workshop on Signal & Information Processing for Sleep Analysis 2017 (SIPSA2017)


The Second Signal and Information Processing for Sleep Analysis Workshop 2017 (SIPSA2017) will be held in Tokyo on January 10, 2017 in National Institute of Informatics (NII). The event is organized by Dr. Gene CHEUNG (National Institute of Informatics, Japan) and Dr. Tomasz M. RUTKOWSKI (The University of Tokyo, RIKEN Brain Science Institute, and Saitama Institute of Technology, Japan). The workshop is co-sponsored by APSIPA BioSiPS and IVM Technical Committees. The event is organized in order to promote and exchange recent advances of sleep analysis and to provide opportunities of meeting and getting together among researchers in this growing field of research. 


  • Organizer and local chair: Gene CHEUNG (National Institute of Informatics, Japan)

  • Organizer and web chair: Tomasz M. RUTKOWSKI (University of Tsukuba and RIKEN Brain Science Institute, Japan)

  • Secretary: Xianming LIU (Harbin Institute of Technology, China, and National Institute of Informatics, Japan)


  • 1300-1310: Opening remarks 
  • 1310-1355: "Data–Driven Multimodal Sleep Apnea Events and Stages Detection Using Information Geometry-based Approach" by Dr. Tomasz M. RUTKOWSKI
  • 1355-1440: "Sleep Apnea Detection via Depth Video & Audio Feature Learning" by Dr. Gene CHEUNG
  • 1440-1450: Break
  • 1450-1535: "Signal Priors-based Restoration of Natural Images" by Dr. Xianming LIU
  • 1435-1520: "The impact of Obstructive Sleep Apnea on Cognition, Work Performance and Safety" by Dr. Kevin CHAN
  • 1520-1530: Break
  • 1530-1630: "Philips Sleep Care Solutions – CPAP, Masks and Diagnostic Devices" by Ms. Yuriko NAGAOKA
  • 1630-1700: Discussion and closing remarks

Speaker abstracts and bios

Technical Presentations

The University of Tokyo, Japan
RIKEN Brain Science Institute, Japan
Saitama Institute of Technology, Japan

Presentation title: Data–Driven Multimodal Sleep Apnea Events and Stages Detection Using Information Geometry-based Approach

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 2005-2011 he worked as a research scientist at RIKEN Brain Science Institute, Japan. 2011-2016 he served as an assistant professor at the University of Tsukuba and as a visiting scientist at RIKEN Brain Science Institute. Currently he is a research fellow at The University of Tokyo, a visiting professor at Saitama Institute of Technology and a visiting researcher at 
RIKEN Brain Science Institute
. He also serves as a scientific adviser to two startups in Tokyo. 
Dr 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.

National Institute of Informatics, Japan

Presentation title: Sleep Apnea Detection via Depth Video & Audio Feature Learning
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. Xianming LIU
National Institute of Informatics (NII), Tokyo, Japan
Department of Computer Science, Harbin Institute of Technology (HIT), Harbin, China

Title: Signal Priors-based Restoration of Natural Images

Bio: Dr. Xianming LIU works as a project researcher at National Institute of Informatics (NII), Tokyo, Japan, from January 2014. He is also an Associate Professor with the Department of Computer Science, Harbin Institute of Technology (HIT), Harbin, China. He received the B.S., M.S., and Ph.D degrees in computer science from HIT, in 2006, 2008 and 2012, respectively. In 2011, he spent half a year at the Department of Electrical and Computer Engineering, McMaster University, Canada, as a visiting student, where he then worked as a post-doctoral fellow from December 2012 to December 2013. He has published over 40 international conference and journal publications, including top IEEE journals, such
as T-IP, T-CSVT, T-IFS and T-MM; and top conferences, such as CVPR, IJCAI and DCC. He is the receipt of IEEE ICME 2016 Best Student Paper Award and IFTC 2016 Best Paper Award.

Medical Presentations

Dr. Kevin CHAN

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

Presentation title: The impact of Obstructive Sleep Apnea on Cognition, Work Performance and Safety

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 apnea and chronic cough and the diagnosis of obstructive sleep apnea using video modalities.

Ms. Yuriko NAGAOKA
Philips Sleep Care Solutions, Japan

Presentation title: Philips Sleep Care Solutions – CPAP, Masks and Diagnostic Devices
  • Presentation Agenda:
    1. CPAP: what is it?
    2. How does the pressure keep the airways open?
    3. The algorithm in auto-titration
    4. Philips mask technology: AmaraView and DreamWear features
    5. Managing leak, choosing the right mask vs. different facial features
    6. Purpose of having a humidifier
    7. CPAP machine capture therapeutic data etc
    8. Technology behind the Alice PSG system and Alice PDx
    9. Demonstration


Room 1901
National Institute of Informatics
2-1-2 Hitotsubashi, Chiyoda-ku
Tokyo, Japan 101-8430

National Institute of Informatics

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