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11 ta ish

Ish: Efficient Classification of Cardiovascular Abnormalities by Deep Learning

  1. Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals

    Can Ye, B. V. K. Vijaya Kumar, Miguel Coimbra

    Maqola20123 iqtibos
    ABI

  2. ECG Signal Analysis Using DCT-Based DOST and PSO Optimized SVM

    Sandeep Raj, Kailash Chandra Ray

    Maqola20173 iqtibos
    ABI

  3. ECG Signal Preprocessing and SVM Classifier-Based Abnormality Detection in Remote Healthcare Applications

    C. Venkatesan, P. Karthigaikumar, Anand Paul +2

    MaqolaOchiq kirish20183 iqtibos
    ABI

  4. Signal Quality Assessment and Lightweight QRS Detection for Wearable ECG SmartVest System

    Chengyu Liu, Xiangyu Zhang, Lina Zhao +4

    Maqola20183 iqtibos
    ABI

  5. An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by Using Machine Learning Approach on Measurable Arrhythmic Risk Markers

    Dakun Lai, Yifei Zhang, Xinshu Zhang +2

    MaqolaOchiq kirish20193 iqtibos
    ABI

  6. Smart Heart Monitoring: Early Prediction of Heart Problems Through Predictive Analysis of ECG Signals

    Jiaming Chen, Ali Valehi, Abolfazl Razi

    MaqolaOchiq kirish20193 iqtibos
    ABI

  7. An integrated index for detection of Sudden Cardiac Death using Discrete Wavelet Transform and nonlinear features

    U. Rajendra Acharya, Hamido Fujita, Vidya K. Sudarshan +4

    Maqola20152 iqtibos
    ABI

  8. ECG signal processing for abnormalities detection using multi-resolution wavelet transform and Artificial Neural Network classifier

    Hari Mohan, Anurag Trivedi, Shailja Shukla

    Maqola20132 iqtibos
    ABI

  9. ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network

    Jingshan Huang, Binqiang Chen, Bin Yao +1

    MaqolaOchiq kirish20192 iqtibos
    ABI

  10. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI

  11. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI