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Authors: Chiying Wang 1 ; Sergio A. Alvarez 2 ; Carolina Ruiz 1 and Majaz Moonis 3

Affiliations: 1 Worcester Polytechnic Institute, United States ; 2 Boston College, United States ; 3 University of Massachusetts Medical School, United States

ISBN: 978-989-758-011-6

Keyword(s): Time Series, Dynamic Time Warping, Data Mining: Clustering, Modeling, Markov, Sleep.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics ; Sensor Networks ; Soft Computing

Abstract: Collective Dynamical Modeling-Clustering (CDMC) is an algorithmic framework for time series dynamical modeling and clustering using probabilistic state-transition models. In this paper, an efficient initialization technique based on Itakura slope-constrained Dynamic Time Warping is applied to CDMC. Semi-Markov chains are used as the dynamical models. Experimental evaluation demonstrates the effectiveness of the proposed approach in providing more realistic dynamical modeling of sleep stage dynamics than Markov models, with improved clustering quality and convergence speed as compared with pseudorandom initialization.

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Paper citation in several formats:
Wang, C.; A. Alvarez, S.; Ruiz, C.; Ruiz, C. and Moonis, M. (2014). Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 61-68. DOI: 10.5220/0004824900610068

@conference{biosignals14,
author={Chiying Wang. and Sergio A. Alvarez. and Carolina Ruiz. and Carolina Ruiz. and Majaz Moonis.},
title={Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)},
year={2014},
pages={61-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004824900610068},
isbn={978-989-758-011-6},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)
TI - Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping
SN - 978-989-758-011-6
AU - Wang, C.
AU - A. Alvarez, S.
AU - Ruiz, C.
AU - Ruiz, C.
AU - Moonis, M.
PY - 2014
SP - 61
EP - 68
DO - 10.5220/0004824900610068

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