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Smart Supervision of Cardiomyopathy Based on Fuzzy Harris Hawks Optimizer and Wearable Sensing Data Optimization: A

Weiping Ding, Mohamed Abdel-Basset, Khalid A Eldrandaly

    IEEE Transactions on Cybernetics
    |June 25, 2020
    PubMed

    Insights

    This study introduces a smart monitoring model for cardiomyopathy patients using AI and fuzzy logic. The model optimizes sensor placement and efficiently processes wearable data for accurate heart condition detection.

    Area of Science:

    • Cardiology
    • Biomedical Engineering
    • Artificial Intelligence

    Background:

    • Cardiomyopathy affects all ages, leading to serious complications like heart failure and sudden cardiac arrest.
    • Symptoms include abnormal heart rhythms, dizziness, and fainting.
    • Smart devices offer new possibilities for non-clinical patient monitoring.

    Purpose of the Study:

    • To introduce a comprehensive, optimized model for smart monitoring of cardiomyopathy patients.
    • To enhance patient coverage and reduce sensor requirements.
    • To improve the accuracy and reliability of processing wearable sensing data.

    Main Methods:

    • Developed a fuzzy Harris hawks optimizer (FHHO) to optimize sensor redistribution using AI and fuzzy logic.
    • Introduced wearable sensing data optimization (WSDO) for accurate handling of cardiomyopathy data.
    • Tested and verified the proposed algorithms through simulations.

    Main Results:

    • FHHO enhanced patient coverage and reduced the number of necessary sensors.
    • WSDO demonstrated high accuracy and low time cost in detecting heart rate and failure.
    • The model effectively refines sensing data for better patient management.

    Conclusions:

    • The proposed model offers an efficient and accurate approach to smart monitoring for cardiomyopathy patients.
    • FHHO and WSDO algorithms significantly improve sensor coverage and data processing.
    • This technology has the potential to enhance early detection and management of heart muscle diseases.

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