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Adaptive SSA Based Muscle Artifact Removal from Single Channel EEG Using Neural Network Regressor
Institution:1. Dept. of Electronics & Telecommunication Engineering, International Institute of Information Technology, Bhubaneswar, India;2. Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India;3. Department of Electronics and Communication Engineering, Gayatri Vidya Parishad College of Engineering (A), Vishakhapatnam, Andhra Pradesh, India;1. Department of Electrical and Electronics Engineering, BITS-Pilani, Dubai, United Arab Emirates;2. Center for Medical Imaging Studies, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India;1. Siksha ’O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India;2. Electronic Science and Technology, Berhampur University, Berhampur, Odisha, India;1. Centre for Medical Imaging Studies, Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India;2. Department of CSE, University of Auckland, New Zealand;1. Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India;2. International Institute of Information Technology, Bhubaneswar 751003, Odisha, India
Abstract:
Keywords:EEG  Muscle artifacts  SSA  NNR  Mobility  MI  RRMSE  PSNR
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