Artifact Removal using Elliptic Filter and Classification using 1D-CNN for EEG signals

被引：0
|
作者：
Nagabushanam, P. [1 ]
George, S. Thomas [2 ]
Davu, Praharsha [3 ]
Bincy, P. [3 ]
Naidu, Meghana [3 ]
Radha, S. [3 ]
机构：
[1] Karunya Inst Technol & Sci, Dept EEE, Cbe, India
[2] Karunya Inst Technol & Sci, Dept EIE, Cbe, India
[3] Karunya Inst Technol & Sci, Dept ECE, Cbe, India
来源：
2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2020年
关键词：
EEG; 1D-CNN; Artifact removal; elliptic filter;
D O I：
10.1109/icaccs48705.2020.9074287
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Convolution plays major role in deep learning. CNN is the basic architecture and most of the other deep learning architectures ae built based on CNN. However, 1D-CNN is suitable for EEG signals as it is time-series one dimensional characteristic signal. In this paper, we have proposed a 6-layer 1D-CNN to analyze the classification of EEG. Elliptic filter helps to filter Multivariate EEG signal of sleep apnea patient and then classify sleep stages using CNN. Simulations are carried out using Mat Lab.
引用
收藏
页码：551 / 556
页数：6
相关论文
共 50 条
  • [41] Design a 1D-CNN'S to classify surface EMG (SEMG) signals
    Dawood, Musaab Saleh
    Aldabag, Mohand Lokman
    NEXO REVISTA CIENTIFICA, 2023, 36 (06): : 1020 - 1037
  • [42] Physiological/Non-physiological artifacts classification using EEG signals based on CNN
    Boudaya, Amal
    Chaabene, Siwar
    Bouaziz, Bassem
    Zouari, Hela
    ben Jemea, Sana
    Chaari, Lotfi
    2022 INTERNATIONAL CONFERENCE ON TECHNOLOGY INNOVATIONS FOR HEALTHCARE, ICTIH, 2022, : 26 - 29
  • [43] Cardiac Artifact Noise Removal From Sleep EEG Signals Using Hybrid Denoising Model
    Ranjan, Rakesh
    Sahana, Bikash Chandra
    Bhandari, Ashish Kumar
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [44] Emotion Classification Using EEG Signals
    Dabas, Harsh
    Sethi, Chaitanya
    Dua, Chirag
    Dalawat, Mohit
    Sethia, Divyashikha
    PROCEEDINGS OF 2018 THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (CSAI 2018) / 2018 THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND MULTIMEDIA TECHNOLOGY (ICIMT 2018), 2018, : 380 - 384
  • [45] Multisensor-based tool wear diagnosis using 1D-CNN and DGCCA
    Yin, Yong
    Wang, Shuxin
    Zhou, Jian
    APPLIED INTELLIGENCE, 2023, 53 (04) : 4448 - 4461
  • [46] Bayesian-optimized 1D-CNN for delamination classification in CFRP laminates using raw ultrasonic guided waves
    Azadi, Shain
    Okabe, Yoji
    Carvelli, Valter
    COMPOSITES SCIENCE AND TECHNOLOGY, 2025, 264
  • [47] Ocular Artifact Removal from EEG Using ANFIS
    Chen, Wei
    Wang, Ze
    Lao, Ka Fai
    Wan, Feng
    2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2014, : 2410 - 2417
  • [48] ARTIFACT REMOVAL IN EEG USING MORPHOLOGICAL COMPONENT ANALYSIS
    Yong, Xinyi
    Ward, Rabab K.
    Birch, Gary E.
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 345 - 348
  • [49] Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM
    Rostovski, Jakob
    Ahmadilivani, Mohammad Hasan
    Krivosei, Andrei
    Kuusik, Alar
    Alam, Muhammad Mahtab
    DIGITAL HEALTH AND WIRELESS SOLUTIONS, PT II, NCDHWS 2024, 2024, 2084 : 260 - 278
  • [50] Multisensor-based tool wear diagnosis using 1D-CNN and DGCCA
    Yong Yin
    Shuxin Wang
    Jian Zhou
    Applied Intelligence, 2023, 53 : 4448 - 4461
12345