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EMG Signal Enhancement from ECG Artifact Contamination for Assessment of Swallowing Function
Noor A.S.a, Suprijantoa, Mandasari M.I.a
a Institut Teknologi Bandung, Instrumentation and Control Department, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 IEEE.Swallowing disorder can be caused by the inability of muscle groups related in swallowing process to conduct muscle coordination. Swallowing disorder which generally caused by stroke is named dysphagia. Evaluation and diagnosis of swallowing function in patients with the risk of dysphagia is an initial step to be able to treat dysphagia effectively. The surface electromyography (s-EMG) signal measurement had been approved as one of the methods in evaluating muscle activity, which also could be used as an evaluation and diagnosis method of dysphagia. However, the acquisition of EMG signal was generally disturbed by noise from electrocardiography (ECG) artifact. The proposed method, Wavelet-ICA (WICA), was applied in the acquired raw EMG signal to remove the ECG artifacts. WICA was considered based on its reliability in low computational cost, automated decomposition, and high SNR results. Then, the denoised EMG signal was extracted to the signal envelope to determine the muscle coordination parameters. Muscle coordination parameters were observed in s-EMG pattern, which obtained from root mean square value of s-EMG signal envelope. The s-EMG were acquired from bilateral suprahyoid muscle groups. Muscle coordination was evaluated during the subject performed three types of voluntary swallowing tasks with three trials of repetition. According to the results, the higher the cross-correlation coefficient value, the better the muscle coordination in the muscles involved.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]dysphagia,Ecg artifacts,EMG signal,Muscle coordination,swallowing assessment[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]dysphagia,ECG artifacts,EMG signal,muscle coordination,swallowing assessment,Wavelet-ICA[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]ACKNOWLEDGMENT The authors express gratitude to the Lembaga Pengelola Dana Pendidikan the Indonesian Ministry of Economics Scholarship and the Indonesian Ministry of Research, Technology, and Higher Education and Institut Teknologi Bandung for research grant and facility.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICA.2019.8916733[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]