Results 221 to 230 of about 63,948 (252)

ECG segmentation algorithm based on bidirectional hidden semi-Markov model

Computers in Biology and Medicine, 2022
Accurate segmentation of electrocardiogram (ECG) waves is crucial for cardiovascular diseases (CVDs). In this study, a bidirectional hidden semi-Markov model (BI-HSMM) based on the probability distributions of ECG waveform duration was proposed for ECG wave segmentation.
Rui, Huo, Liting, Zhang, Feifei, Liu, Ying, Wang, Yesong, Liang, Shoushui, Wei   +5 more
openaire   +2 more sources

Activity recognition using logical hidden semi-Markov models

2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2013
Activity recognition is challenging and valuable in both real and virtual world. As important directed graphical models, hidden Markov models and their extensions are widely used to solve probabilistic activity recognition problems. In this paper, logical hidden semi-Markov models (LHSMMs) which combine logical hidden Markov models (LHMMs), a ...
Ya-Bing Zha, Shi-Guang Yue, Quan-Jun Yin, Xiao-Cheng Liu   +3 more
openaire   +1 more source

Coupled Hidden Semi Markov Models for Activity Recognition

2007 IEEE Workshop on Motion and Video Computing (WMVC'07), 2007
Recognizing human activity from a stream of sensory observations is important for a number of applications such as surveillance and human-computer interaction. Hidden Markov Models (HMMs) have been proposed as suitable tools for modeling the variations in the observations for the same action and for discriminating among different actions.
Pradeep Natarajan, Ramakant Nevatia
openaire   +1 more source

Hidden semi-Markov models for electricity load disaggregation

ACM SIGMETRICS Performance Evaluation Review, 2019
This paper assesses the performance of a technique for estimating the power consumption of individual devices based on aggregate consumption. The new semi-Markov technique, outperforms pure hidden Markov models on the REDD dataset. The technique also exploits information from transients to eliminate a substantial fraction of the observed ...
Yung Fei Wong, Lachlan L. H. Andrew, Y. Ahmet Sekercioglu   +2 more
openaire   +1 more source

Implementation of hidden semi-Markov models

2011
One of the most frequently used concepts applied to a variety of engineering and scientific studies over the recent years is that of a Hidden Markov Model (HMM). The Hidden semi-Markov model (HsMM) is contrived in such a way that it does not make any premise of constant or geometric distributions of a state duration.
openaire   +1 more source

Online apnea–bradycardia detection based on hidden semi-Markov models

Medical & Biological Engineering & Computing, 2014
In 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, Guy, Carrault, Alain, Beuchée, Patrick, Pladys, Alfredo I, Hernández   +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., 2006
Junichi Yamagishi, Takao Kobayashi
openaire   +1 more source

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

Science, 2020
Maziar Raissi, Alireza Yazdani, George E Karniadakis   +2 more
exaly  

Hidden Semi-Markov Model and Estimation

2008
Vlad Barbu, Nikolaos Limnios
openaire   +1 more source

Black holes, hidden symmetries, and complete integrability

Living Reviews in Relativity, 2017
Valeri P Frolov, Pavel Krtouš, David Kubizňák   +2 more
exaly