A Novel Approach for the Detection of Cardiovascular Abnormalities from Electrocardiogram and Phonocardiogram Signals Using Combined CNN-LSTM Techniques

被引:0
|
作者
Gnanapirakasam, Suganthi Brindha [1 ]
Manjula, J. [1 ]
机构
[1] Department of Electronics and Communication Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, Chennai,603203, India
关键词
D O I
10.18280/ts.410629
中图分类号
学科分类号
摘要
29
引用
收藏
页码:3131 / 3142
相关论文
共 38 条
  • [21] Parkinson's detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition
    Er, Mehmet Bilal
    Isik, Esme
    Isik, Ibrahim
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 70
  • [22] Novel approach for Arabic fake news classification using embedding from large language features with CNN-LSTM ensemble model and explainable AI
    Omar Ibrahim Aboulola
    Muhammad Umer
    Scientific Reports, 14 (1)
  • [23] CardiacRT-NN: Real-Time Detection of Cardiovascular Disease Using Self-attention CNN-LSTM for Embedded Systems
    Li, Yixin
    Sui, Ning
    Gehi, Anil
    Guo, Chengan
    Guo, Zhishan
    ADVANCES IN NEURAL NETWORKS-ISNN 2024, 2024, 14827 : 610 - 621
  • [24] A novel approach for denoising electrocardiogram signals to detect cardiovascular diseases using an efficient hybrid scheme
    Bing, Pingping
    Liu, Wei
    Zhai, Zhixing
    Li, Jianghao
    Guo, Zhiqun
    Xiang, Yanrui
    He, Binsheng
    Zhu, Lemei
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2024, 11
  • [25] Detection of Dysrhythmias from Electrocardiogram Signals Using Noise Removal and Deep Learning Techniques
    P. Rajesh
    M. Balasubramaniyan
    T. M. Thiyagu
    M. Azhagiri
    C. Shanmuganathan
    SN Computer Science, 5 (7)
  • [26] Enhanced Forecasting Accuracy of a Grid-Connected Photovoltaic Power Plant: A Novel Approach Using Hybrid Variational Mode Decomposition and a CNN-LSTM Model
    Boucetta, Lakhdar Nadjib
    Amrane, Youssouf
    Chouder, Aissa
    Arezki, Saliha
    Kichou, Sofiane
    ENERGIES, 2024, 17 (07)
  • [27] A novel deep learning approach for early detection of cardiovascular diseases from ECG signals
    Aarthy, ST.
    Iqbal, J. L. Mazher
    MEDICAL ENGINEERING & PHYSICS, 2024, 125
  • [28] On short-term load forecasting using machine learning techniques and a novel parallel deep LSTM-CNN approach
    Farsi, Behnam
    Amayri, Manar
    Bouguila, Nizar
    Eicker, Ursula
    IEEE Access, 2021, 9 : 31191 - 31212
  • [29] On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach
    Farsi, Behnam
    Amayri, Manar
    Bouguila, Nizar
    Eicker, Ursula
    IEEE ACCESS, 2021, 9 : 31191 - 31212
  • [30] Detection of arrhythmia from electrocardiogram signals using a novel gaussian assisted signal smoothing and pattern recognition
    Chandrasekar, Aditya
    Shekar, Dhanush D.
    Hiremath, Abhishek C.
    Chemmangat, Krishnan
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 73