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Apnea bradycardia detection based on new coupled hidden semi Markov model

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Abstract

In this paper, a method for apnea bradycardia detection in preterm infants is presented based on coupled hidden semi Markov model (CHSMM). CHSMM is a generalization of hidden Markov models (HMM) used for modeling mutual interactions among different observations of a stochastic process through using finite number of hidden states with corresponding resting time. We introduce a new set of equations for CHSMM to be integrated in a detection algorithm. The detection algorithm was evaluated on a simulated data to detect a specific dynamic and on a clinical dataset of electrocardiogram signals collected from preterm infants for early detection of apnea bradycardia episodes. For simulated data, the proposed algorithm was able to detect the desired dynamic with sensitivity of 96.67% and specificity of 98.98%. Furthermore, the method detected the apnea bradycardia episodes with 94.87% sensitivity and 96.52% specificity with mean time delay of 0.73 s. The results show that the algorithm based on CHSMM is a robust tool for monitoring of preterm infants in detecting apnea bradycardia episodes.

Apnea Bradycardia detection using Coupled hidden semi Markov Model from electrocardiography. In this model, a sequence of hidden states is assigned to each observation based on the effects of previous states of all observations

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Funding

This work has been supported by the Center for International Scientific Studies and Collaboration (CISSC) and by Egide-Gundishapour program.

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Authors and Affiliations

  1. NSERM, UMR 1099, F-35000, Rennes, France

    Nasim Montazeri Ghahjaverestan, Di Ge, Alain Beuchée & Alfredo I. Hernández

  2. University of Rennes 1, LTSI, F-35000, Rennes, France

    Nasim Montazeri Ghahjaverestan, Di Ge, Alain Beuchée & Alfredo I. Hernández

  3. The Biomedical Signal and Image Processing Laboratory (BiSIPL), School of Electrical Engineering, Sharif University of Technology, Azadi Avenue, Tehran, Iran

    Nasim Montazeri Ghahjaverestan & Mohammad Bagher Shamsollahi

  4. INSERM, UMR 1099, F-35000, Rennes, France

    Alain Beuchée

Authors
  1. Nasim Montazeri Ghahjaverestan
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  2. Mohammad Bagher Shamsollahi
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  3. Di Ge
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  4. Alain Beuchée
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  5. Alfredo I. Hernández
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Correspondence to Alfredo I. Hernández.

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Montazeri Ghahjaverestan, N., Shamsollahi, M.B., Ge, D. et al. Apnea bradycardia detection based on new coupled hidden semi Markov model. Med Biol Eng Comput 59, 1–11 (2021). https://doi.org/10.1007/s11517-020-02277-8

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  • DOI: https://doi.org/10.1007/s11517-020-02277-8

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