Results 151 to 160 of about 26,262 (178)
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Key Engineering Materials, 2014
The sEMG (surface electromyographic) plays a significant role in the rehabilitation medicine, particularly in exoskeleton robotic treatment. A sEMG recording system using STM32F407 DISCOVERY development board and Labview software, combined with multiple signal acquisition sensors was proposed in this paper. The UC/OS-II operating system was embedded in
Yong Sheng Gao +4 more
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The sEMG (surface electromyographic) plays a significant role in the rehabilitation medicine, particularly in exoskeleton robotic treatment. A sEMG recording system using STM32F407 DISCOVERY development board and Labview software, combined with multiple signal acquisition sensors was proposed in this paper. The UC/OS-II operating system was embedded in
Yong Sheng Gao +4 more
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INDEPENDENT COMPONENT APPROACH TO THE ANALYSIS OF HAND GESTURE sEMG AND FACIAL sEMG
Biomedical Engineering: Applications, Basis and Communications, 2008Independent component analysis algorithm, a recently developed multivariate statistical data analysis technique, has been successfully used for signal extraction in the field of biomedical and statistical signal processing. This paper reviews the concept of ICA and demonstrates its usefulness and limitations in the context of surface electromyogram ...
Naik, Ganesh R. (R19010) +3 more
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sEMG-based technology for silent voice recognition
Computers in Biology and Medicine, 2023Silent speech recognition (SSR) is a system that implements speech communication when a sound signal is not available using surface electromyography (sEMG)-based speech recognition. Researchers have used surface electrodes to record the electrically-activated potential of human articulation muscles to recognize speech content. SSR can be used for pilot-
Wei Li +5 more
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Design of SEMG Recognition System
Advanced Materials Research, 2011Surface electromyography (sEMG) is recorded from the surface of skeleton muscle by electrodes, it is the bioelectricity discharged by neuromuscular activities. This paper designed a data acquisition platform of sEMG, which contains hardware module and software module. The hardware contains electrodes, microcomputer, power and filters.
Jing Jin Xie, Lei Zuo
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Towards High Density sEMG (HD-sEMG) Acquisition Approach for Biometrics Applications
2019This is the third chapter of this book dedicated to EMG biometrics modality. The purpose is to highlight a Multi-Channel technique based on a High Density sEMG (HD-sEMG) acquisition. In fact, HD-sEMG recording systems can be used to overcome the limitation of classical bipolar and monopolar sEMG recording systems.
Al Harrach, Mariam +2 more
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Speech recognition using facial sEMG
2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2017This paper presents a study of speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. This paper compares the speech recognition system for spoken English and Malay words by a group of Malay native speakers.
Mok Win Soon +4 more
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Analyzing an sEMG signal using wavelets
2009Electromyography (EMG) is an experimental technique developed with the purpose of detecting muscle movement. The technique generates a signal that is formed by impulses of muscle fibers during the movement of muscles. The generated signal is very sensitive and can therefore be influenced by several external factors altering its shape and ...
Bastiaensen, Y. +2 more
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Analysis of the sEMG/force relationship using HD-sEMG technique and data fusion: A simulation study
Computers in Biology and Medicine, 2017The relationship between the surface Electromyogram (sEMG) signal and the force of an individual muscle is still ambiguous due to the complexity of experimental evaluation. However, understanding this relationship should be useful for the assessment of neuromuscular system in healthy and pathological contexts.
Al Harrach, Mariam +4 more
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sEMG pattern classification using hierarchical Bayesian model
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013This work addresses surface electromyogram (sEMG)-based muscle pattern classification using a generative model. By using a hierarchical Bayesian model, the proposed approach constructs an overall process model of recorded sEMG signals. By inferring probabilistically latent neural states which governs a collection of training sEMG data, classification ...
Hyonyoung, Han, Sungho, Jo
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sEMG-based lip shapes recognition
2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2019With the development of intelligent technology, the need for more effective and practical human-computer interaction becomes more and more urgent. The objective of this paper is to use the facial surface electromyography (sEMG) for lip shapes recognition.
Mingfeng Tang, Jianhai Zhang, Li Zhu
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