Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications

Recent advances in wearable and/or biomedical sensing technologies have made it possible to record very long-term, continuous biomedical signals, referred to as biomedical intensive longitudinal data (ILD). To link ILD to clinical applications, such as personalized healthcare and disease prevention,...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 104; H. 2; S. 242 - 261
Hauptverfasser:	Nakamura, Toru, Kiyono, Ken, Wendt, Herwig, Abry, Patrice, Yamamoto, Yoshiharu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Artificial Intelligence Biomedical monitoring Biomedical signal processing Clinical diagnosis Complex systems Computer Science Computer Vision and Pattern Recognition Diseases Graphics Heart rate Heart rate variability Image Processing Intermittency Links Multiscale analysis Patients Personalized Physiology Signal and Image Processing Spontaneous complex biosignals multiscale fluctuations psychiatric disorder heart failure Autonomic nervous system heart rate variability spontaneous physical activity dynamical disease Physiology Clinical diagnosis Biomedical monitoring Heart rate variability Biomedical signal processing Diseases
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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