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Prediction of heart abnormalities using deep learning model and wearabledevices in smart health homes

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Abstract

The prediction of abnormality in the heart functionality at an early stage increases the chances of saving the life of people. Thus, this paper proposes a technique which predicts the abnormality in the functionality of the heart using heart rate in the form of beats per minute using wearable devices and deep learning model. The devices used are wrist strap and devices that can be fixed near the chest of the person or back of the person where heart beat can be detected. The proposed system is divided into 3 modules: (1) data collection and processing module, (2) prediction module and (3) communication module. First module is used to collect data and process, while prediction module predicts the abnormal functionality of the heart using deep learning model. One of the advantage of the proposed work in this paper is communication module as the communication is given to the doctor who can perform analysis before the patient reaches the hospital. A message is sent to the ambulance so that it reaches the destination on time. The message related to first aid is sent to two dear ones and the patient such that appropriate measures can be taken. The proposed technique is evaluated in terms of sensitivity, specificity, F1–Score, time and ROC curve metrics. It is also compared with the Two Stage Neural Network and TSNN and proved to be performing better.

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Authors and Affiliations

  1. Sri PadmavatiMahila University Tirupati, Tirupati, India

    Jana Shafi & P. Venkata Krishna

  2. College of Computing and Informatics, University of Sharjah, Sharjah, 27272, UAE

    Mohammad S. Obaidat

  3. King Abdullah II School of Information Technology, University of Jordan, Amman, 11942, Jordan

    Mohammad S. Obaidat

  4. University of Science and Technology Beijing, Beijing, 100083, China

    Mohammad S. Obaidat

  5. College of Engineering, University of Sharjah, Sharjah, 27272, UAE

    Balqies Sadoun

  6. School of Information Technology and Engineering, VIT University, Vellore, TN, India

    M. Pounambal & J. Gitanjali

Authors
  1. Jana Shafi
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  2. Mohammad S. Obaidat
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  3. P. Venkata Krishna
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  4. Balqies Sadoun
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  5. M. Pounambal
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  6. J. Gitanjali
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Correspondence to P. Venkata Krishna.

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Shafi, J., Obaidat, M.S., Krishna, P.V. et al. Prediction of heart abnormalities using deep learning model and wearabledevices in smart health homes. Multimed Tools Appl 81, 543–557 (2022). https://doi.org/10.1007/s11042-021-11346-5

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  • DOI: https://doi.org/10.1007/s11042-021-11346-5

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