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Multi-Stream CNN-Based Personal Recognition Method Using Surface electromyogram for 5G Security

Computers, Materials & Continua 2022年第8期72卷 2997-3007页

作者： Jin Su Kim Min-Gu Kim Jae Myung Kim Sung Bum Pan IT Research Institute Chosun UniversityGwangju61452Korea Interdisciplinary Program in IT-Bio Convergence System Chosun UniversityGwangju61452Korea

As fifth generation technology standard(5G)technology develops,the possibility of being exposed to the risk of cyber-attacks that exploits vulnerabilities in the 5G environment is *** existing personal recognitionmethod used for granting permission is a password-basedmethod,which causes security ***,personal recognition studies using bio-signals are being conducted as a method to access control to *** bio-signal,surface electromyogram(sEMG)can solve the existing personal recognition problem that was unable to the modification of registered information owing to the characteristic changes in its signal according to the performed ***,as an advantage,sEMG can be conveniently measured from arms and *** paper proposes a personal recognition method using sEMG,based on a multi-stream convolutional neural network(CNN).The proposed method decomposes sEMG signals into intrinsic mode functions(IMF)using empirical mode decomposition(EMD)and transforms each IMF into a *** recognition is performed by analyzing time–frequency features from the spectrogram transformed *** database(DB)adopted in this paper is the Ninapro DB,which is a benchmark EMG *** experimental results indicate that the personal recognition performance of the multi-stream CNN using the IMF spectrogram improved by 1.91%,compared with the singlestream CNN using the spectrogram of raw sEMG.

关键词： Personal recognition electromyogram signal multi-stream network empirical mode decomposition

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A review of surface electromyography applications for the jaw muscles characterization in rehabilitation and disorders diagnosis

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Medicine in Novel Technology and Devices 2023年第4期20卷 1-10页

作者： Marzieh Allami Sanjani Ehsan Tahami Gelareh Veisi Department of Biomedical Engineering Islamic Azad UniversityMashhad BranchMashhadIran Department of Computer Engineering Islamic Azad UniversityMashhad BranchMashhadIran

Surface electromyography(EMG)is valuable information instrumentation for understanding the electrical activity of *** function and role of the maxillofacial components are critical in daily life and *** review aims to investigate the position of EMG recorded in the maxillofacial region in diagnostic and rehabilitation *** this study,the primary focus is on how to use EMG of the maxillofacial in diagnostic and rehabilitation applications and finding the requirements,needs,challenges,and opportunities *** a result,the study indicated that the maxillofacial EMG is the basis for solving a wide range of practical issues associated with diagnosing disorders and their treatment,and there is a need for standardization and communication between these two applications.

关键词： electromyogram signal Jaw muscles Rehabilitation Diagnosis

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