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Online apnea–bradycardia detection based on hidden semi-Markov models
Medical & Biological Engineering & Computing, 2014In this paper, we propose a new online apnea-bradycardia detection scheme that takes into account not only the instantaneous values of time series, but also their temporal evolution. The detector is based on a set of hidden semi-Markov models, representing the temporal evolution of beat-to-beat interval (RR interval) time series.
Miguel, Altuve +4 more
openaire +2 more sources
Adaptive Training for Hidden Semi-Markov Model
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006Junichi Yamagishi, Takao Kobayashi
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Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies
International Statistical Review, 2021Antonello Maruotti, Antonio Punzo
exaly
A method for degradation prediction based on Hidden semi-Markov models with mixture of Kernels
Computers in Industry, 2020Zeyu Zheng, Liang Qi, Tianji Yang
exaly
Stylized facts of financial time series and hidden semi-Markov models
Computational Statistics and Data Analysis, 2006Jan Bulla
exaly
Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models
Journal of Computational and Graphical Statistics, 2020Panayiota Touloupou +1 more
exaly