Abstract:
Conventional blind source separation (BSS) methods have become widely adopted tools for neurophysiological data analysis. However, the increasing availability of multiset...Show MoreMetadata
Abstract:
Conventional blind source separation (BSS) methods have become widely adopted tools for neurophysiological data analysis. However, the increasing availability of multiset and multimodal neurophysiological data has posed new challenges for BSS methods originally designed to analyze one data set at a time. Concomitantly, there is growing recognition that joint analysis of neurophysiological data has the potential to substantially enhance our understanding of brain function by extracting information from complementary modalities and synergistically combining the results. Therefore, joint data analysis methods represent both a challenge and an opportunity for the neurophysiological signal processing community that attempts to enhance understanding of normal brain function and the pathophysiology of many brain diseases. Over the past decade, various joint blind source separation (JBSS) methods have been proposed to simultaneously accommodate multiple data sets. In this article, we provide an overview and taxonomy of representative JBSS methods. We show, through illustrative numerical simulations, that different statistical assumptions and tradeoffs underlie different JBSS methods, affecting which method should be ideally chosen for a given application. We then discuss several real-world neurophysiological applications from both multiset and multimodal perspectives, highlighting the benefits of the JBSS methods as effective and promising tools for neurophysiological data analysis. Finally, we discuss remaining challenges for future JBSS development.
Published in: IEEE Signal Processing Magazine ( Volume: 33, Issue: 3, May 2016)
Department of Biomedical Engineering, Hefei University of Technology, China
Xun Chen (xun.chen@hfut.edu.cn) received his B.S. degree in electrical engineering from the University of Science and Technology of China in 2009 and his Ph.D. degree in biomedical engineering from the University of British Columbia, Canada, in 2014, where he was a research scientist in the Department of Electrical and Computer Engineering. Currently, he is with the Intelligent Manufacturing Institute and the Department o...Show More
Xun Chen (xun.chen@hfut.edu.cn) received his B.S. degree in electrical engineering from the University of Science and Technology of China in 2009 and his Ph.D. degree in biomedical engineering from the University of British Columbia, Canada, in 2014, where he was a research scientist in the Department of Electrical and Computer Engineering. Currently, he is with the Intelligent Manufacturing Institute and the Department o...View more
Department Electrical and Computer Engineering, University of British Columbia, Canada
Z. Jane Wang (zjanew@ece.ubc.ca) received her B.S. degree from Tsinghua University, China, in 1996, and her M.S. and Ph.D. degrees from the University of Connecticut in 2000 and 2002, respectively, all in electrical engineering. She was a research associate in the Electrical and Computer Engineering Department at the University of Maryland, College Park. Since 2004, she has been with the Department Electrical and Computer...Show More
Z. Jane Wang (zjanew@ece.ubc.ca) received her B.S. degree from Tsinghua University, China, in 1996, and her M.S. and Ph.D. degrees from the University of Connecticut in 2000 and 2002, respectively, all in electrical engineering. She was a research associate in the Electrical and Computer Engineering Department at the University of Maryland, College Park. Since 2004, she has been with the Department Electrical and Computer...View more
Systems and Clinical Neurosciences, Scientific Advisory Board of the Parkinson's Society, Canada
Martin J. McKeown (martin.mckeown@ubc.ca) is the Pacific Parkinson's Research Institute and University of British Columbia chair in Parkinson's research, director at the Pacific Parkinson's Research Centre, full professor in the Department of Medicine, and adjunct professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Canada. He completed his engineering physics, medicine...Show More
Martin J. McKeown (martin.mckeown@ubc.ca) is the Pacific Parkinson's Research Institute and University of British Columbia chair in Parkinson's research, director at the Pacific Parkinson's Research Centre, full professor in the Department of Medicine, and adjunct professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Canada. He completed his engineering physics, medicine...View more
Contents Department of Biomedical Engineering, Hefei University of Technology, China
Xun Chen (xun.chen@hfut.edu.cn) received his B.S. degree in electrical engineering from the University of Science and Technology of China in 2009 and his Ph.D. degree in biomedical engineering from the University of British Columbia, Canada, in 2014, where he was a research scientist in the Department of Electrical and Computer Engineering. Currently, he is with the Intelligent Manufacturing Institute and the Department of Biomedical Engineering at the Hefei University of Technology, China, as a full professor. His research interests include the broad areas of statistical signal processing and machine learning in biomedical applications.
Xun Chen (xun.chen@hfut.edu.cn) received his B.S. degree in electrical engineering from the University of Science and Technology of China in 2009 and his Ph.D. degree in biomedical engineering from the University of British Columbia, Canada, in 2014, where he was a research scientist in the Department of Electrical and Computer Engineering. Currently, he is with the Intelligent Manufacturing Institute and the Department of Biomedical Engineering at the Hefei University of Technology, China, as a full professor. His research interests include the broad areas of statistical signal processing and machine learning in biomedical applications.View more
Department Electrical and Computer Engineering, University of British Columbia, Canada
Z. Jane Wang (zjanew@ece.ubc.ca) received her B.S. degree from Tsinghua University, China, in 1996, and her M.S. and Ph.D. degrees from the University of Connecticut in 2000 and 2002, respectively, all in electrical engineering. She was a research associate in the Electrical and Computer Engineering Department at the University of Maryland, College Park. Since 2004, she has been with the Department Electrical and Computer Engineering at the University of British Columbia, Canada, and is currently a full professor. Her research interests include statistical signal processing theory and applications with a current focus on brain data analytics. She has published approximately 80 journal articles and more than 90 refereed conference papers.
Z. Jane Wang (zjanew@ece.ubc.ca) received her B.S. degree from Tsinghua University, China, in 1996, and her M.S. and Ph.D. degrees from the University of Connecticut in 2000 and 2002, respectively, all in electrical engineering. She was a research associate in the Electrical and Computer Engineering Department at the University of Maryland, College Park. Since 2004, she has been with the Department Electrical and Computer Engineering at the University of British Columbia, Canada, and is currently a full professor. Her research interests include statistical signal processing theory and applications with a current focus on brain data analytics. She has published approximately 80 journal articles and more than 90 refereed conference papers.View more
Systems and Clinical Neurosciences, Scientific Advisory Board of the Parkinson's Society, Canada
Martin J. McKeown (martin.mckeown@ubc.ca) is the Pacific Parkinson's Research Institute and University of British Columbia chair in Parkinson's research, director at the Pacific Parkinson's Research Centre, full professor in the Department of Medicine, and adjunct professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Canada. He completed his engineering physics, medicine, and neurology training at McMaster University, the University of Toronto, and the University of Western Ontario, respectively. He is a member of the Systems and Clinical Neurosciences—A Canadian Institutes of Health Research scientific peer review committee as well as a member of the Scientific Advisory Board of the Parkinson's Society of Canada. He has authored more than 100 peer-reviewed papers and book chapters.
Martin J. McKeown (martin.mckeown@ubc.ca) is the Pacific Parkinson's Research Institute and University of British Columbia chair in Parkinson's research, director at the Pacific Parkinson's Research Centre, full professor in the Department of Medicine, and adjunct professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Canada. He completed his engineering physics, medicine, and neurology training at McMaster University, the University of Toronto, and the University of Western Ontario, respectively. He is a member of the Systems and Clinical Neurosciences—A Canadian Institutes of Health Research scientific peer review committee as well as a member of the Scientific Advisory Board of the Parkinson's Society of Canada. He has authored more than 100 peer-reviewed papers and book chapters.View more
