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A Deep Learning Framework for Heart Disease Classification in an IoTs-Based System

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A Handbook of Internet of Things in Biomedical and Cyber Physical System

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 165))

Abstract

Accurate classification of heart diseases plays an important role and IoTs applied in a medical system will increase the effectiveness of diagnosis. In this chapter, we propose an IoTs-based diagnostic system for heart diseases classification. This system is designed to transmit classified data to server for storage and diagnosis. In particular, ECG devices are connected to internet systems through wifi or 3G/4G technologies for transmitting ECG data to a cloud-based processing system for storing patient’s profiles. Therefore, datasets are pre-processed for extracting features using a WPD algorithm. In addition, a wkPCA method and a deep learning framework are employed for classifying heart diseases. Experimental results and the IoTs-based system description are shown to illustrate the effectiveness of the proposed method.

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Acknowledgements

The authors would like to acknowledge the support of Ministry of Education and Training, Vietnam with Grand No. B2017.SPK.03 and the HCMC University of Technology and Education, Vietnam. In addition, we would like to thank you master students for supports during research.

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Authors and Affiliations

  1. Department of Industrial Electronic-Biomedical Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Vietnam

    Thanh-Hai Nguyen & Thanh-Nghia Nguyen

  2. Department of Biomedical Engineering, International University-Vietnam National University, Ho Chi Minh City, Vietnam

    Thanh-Tam Nguyen

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  1. Thanh-Hai Nguyen
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  2. Thanh-Nghia Nguyen
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Correspondence to Thanh-Hai Nguyen .

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Editors and Affiliations

  1. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  2. Department of CSE, CMR Institute of Technology (Autonomous), Hyderabad, Telangana, India

    Vijender Kumar Solanki

  3. Department of Computer Science and Engineering, LNCT Group of College, Jabalpur, Madhya Pradesh, India

    Raghvendra Kumar

  4. Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh

    Md. Atiqur Rahman Ahad

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Nguyen, TH., Nguyen, TN., Nguyen, TT. (2020). A Deep Learning Framework for Heart Disease Classification in an IoTs-Based System. In: Balas, V., Solanki, V., Kumar, R., Ahad, M. (eds) A Handbook of Internet of Things in Biomedical and Cyber Physical System. Intelligent Systems Reference Library, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-030-23983-1_9

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  • DOI: https://doi.org/10.1007/978-3-030-23983-1_9

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