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Differentiating Variations in Thumb Position From Recordings of the Surface Electromyogram in Adults Performing Static Grips, a Proof of Concept Study

Alejandra Aranceta-Garza, Bernard Arthur Conway
2019 Frontiers in Bioengineering and Biotechnology  
Grip force during task performance was maintained at 30% maximal-voluntary-force and sEMG signals from the forearm were recorded using 2D high-density sEMG (HD-sEMG arrays).  ...  Results demonstrate that forearm muscle sEMG patterns possess classifiable parameters that correlate with variations in static thumb position (accuracy of 88.25 ± 0.5% anterior; 91.25 ± 2.5% posterior  ...  ACKNOWLEDGMENTS The authors would like to thank John Maclean who helped in the construction of the testing apparatus.  ... 
doi:10.3389/fbioe.2019.00123 pmid:31192205 pmcid:PMC6541154 fatcat:qwa4phvav5fbhgbilqxepznwkq

Characterization of Forearm Muscle Activation in Duchenne Muscular Dystrophy via High-Density Electromyography: A Case Study on the Implications for Myoelectric Control

Kostas Nizamis, Noortje H. M. Rijken, Robbert van Middelaar, João Neto, Bart F. J. M. Koopman, Massimo Sartori
2020 Frontiers in Neurology  
Traditional low-density sEMG was used in the past to explore the muscular activations of individuals with DMD; however, it cannot provide high spatial resolution.  ...  We looked into the spatial distribution of HD-sEMG patterns by using principal component analysis (PCA) and also assessed the repeatability and the amplitude distributions of muscle activity.  ...  Traditional low-density sEMG was used in the past to explore the muscular activations of individuals with DMD; however, it cannot provide high spatial resolution.  ... 
doi:10.3389/fneur.2020.00231 pmid:32351441 pmcid:PMC7174775 fatcat:gxhoksjuljdedb6vizp6nhsa6u

Non-invasive real-time access to the output of the spinal cord via a wrist wearable interface [article]

Irene Mendez Guerra, Deren Y. Barsakcioglu, Ivan Vujaklija, Daniel Z. Wetmore, Dario Farina
2021 bioRxiv   pre-print
The interface decodes electric signals present at the tendon endings of the forearm muscles by using a model of signal generation and deconvolution.  ...  First, we evaluated the reliability of the interface to detect motoneuron firings, and thereafter we used the decoded neural activity for the prediction of finger movements in offline and real-time conditions  ...  (A) Acquisition setup for concurrent recording of electromyogram (EMG) signals at the forearm and tendon electric signals at the wrist.  ... 
doi:10.1101/2021.04.06.438640 fatcat:3qnghxbrxnc2bh2zv5j7gskscq

Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors

Sridhar Arjunan, Dinesh Kumar
2010 Journal of NeuroEngineering and Rehabilitation  
Conclusions: The results show that the MFL and FD of a single channel sEMG recorded from the forearm can be used to accurately identify a set of finger and wrist flexions even when the muscle activity  ...  The presence of noise and cross-talk from closely located and simultaneously active muscles is exaggerated when muscles are weakly active such as during sustained wrist and finger flexion.  ...  Acknowledgements The work was supported by School of Electrical and Computer Engineering, RMIT University.  ... 
doi:10.1186/1743-0003-7-53 pmid:20964863 pmcid:PMC2984484 fatcat:puik3dvrsbd47l7665qkeodgiu

Robust sEMG electrodes configuration for pattern recognition based prosthesis control

Yinfeng Fang, Honghai Liu
2014 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
The comparison results show that the proposed electrodes configuration increases the pattern recognition rate by 4% and 8% when applied kNN and LDA classifier, respectively.  ...  Electrodes shift occurs particularly in the day-to-day use of wearing electrodes. As a reslut, a long-term training procedure is necessary.  ...  In detail, the EMG signal is the summation of the action potentials discharged by the active muscle fibers in the proximity of the recording electrodes [1] .  ... 
doi:10.1109/smc.2014.6974252 dblp:conf/smc/FangL14 fatcat:eliuu6srfjbkdmlpd4rjrbxpja

Automated Channel Selection in High-Density sEMG for Improved Force Estimation

Gelareh Hajian, Ali Etemad, Evelyn Morin
2020 Sensors  
We developed and validated new approaches for selecting subsets of high-density (HD) EMG channels for improved and lower-dimensionality force estimation.  ...  We selected one, two, and three channels per muscle from the original seven differential channels to reduce the redundancy and correlation in the dataset.  ...  Acknowledgments: The authors would like to thank Behnam Behinaein for his help and valuable discussions throughout this work. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20174858 pmid:32867378 fatcat:rrfsvqjwkjftte7n3ngs7wtd4m

Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use

Erik Scheme, Kevin Englehart
2011 Journal of rehabilitation research and development  
Using electromyogram (EMG) signals to control upper-limb prostheses is an important clinical option, offering a person with amputation autonomy of control by contracting residual muscles.  ...  This article describes the pertinent issues and best practices in EMG pattern recognition, identifies the major challenges in deploying robust control, and advocates research directions that may have an  ...  The existence of muscle co-activation provides spatial information to a pattern classifier, char-acterizing the natural syner gistic behavior of muscles during a giv en contraction.  ... 
doi:10.1682/jrrd.2010.09.0177 fatcat:z3ypf7yrzrhuzi7jra3lzgrvk4

A database of high-density surface electromyogram signals comprising 65 isometric hand gestures

Nebojša Malešević, Alexander Olsson, Paulina Sager, Elin Andersson, Christian Cipriani, Marco Controzzi, Anders Björkman, Christian Antfolk
2021 Scientific Data  
This study aims to provide an annotated database of high-density surface electromyographic signals to aid the efforts of designing robust and versatile electromyographic control interfaces for prosthetic  ...  Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographic signals from the muscles remaining after amputation at the forearm level.  ...  Code availability The signal recording was performed using two programs in parallel: OT BioLab version 2.0.6254 available at www.otbioelecttronica.com for recording HD-sEMG and synchronization signals,  ... 
doi:10.1038/s41597-021-00843-9 pmid:33602931 fatcat:foxxwbsfgndzjfb5o6scipooki

Review on EMG Acquisition and Classification Techniques: Towards Zero Retraining in the Influence of User and Arm Position Independence

Zinvi Fu, Politeknik Kota Kinabalu, No. 4 Jalan Politeknik, KKIP, Kota Kinabalu, 88460, MALAYSIA, A. Y. Bani Hashim, Z. Jamaludin, I. S. Mohamad, Universiti Tenikal Malaysia Melaka, Jalan Hang Tuah Jaya, Durian Tunggal, 76100, MALAYSIA, Universiti Tenikal Malaysia Melaka, Jalan Hang Tuah Jaya, Durian Tunggal, 76100, MALAYSIA, Universiti Tenikal Malaysia Melaka, Jalan Hang Tuah Jaya, Durian Tunggal, 76100, MALAYSIA
2021 International Journal of Integrated Engineering  
The surface electromyogram (EMG) is widely studied and applied in machine control. Recent methods of classifying hand gestures reported classification rates of over 95%.  ...  However the results are encouraging and strongly indicate that EMG classification in a broad range of people and tolerance towards arm orientation is possible, and can pave way for more flexible EMG devices  ...  The higher density grid provides a superior spatial resolution of muscular activity and contains multidimensional information suitable as an input for pattern recognition.  ... 
doi:10.30880/ijie.2021.13.04.001 fatcat:rdv7py7so5cj3djttpw5dxftlq

New Perspectives for Computer-Aided Discrimination of Parkinson's Disease and Essential Tremor

P. Povalej Bržan, J. A. Gallego, J. P. Romero, V. Glaser, E. Rocon, J. Benito-León, F. Bermejo-Pareja, I. J. Posada, A. Holobar
2017 Complexity  
For the latter, we identified individual motor unit discharge patterns from high-density surface electromyograms and characterized the neural drive to a single muscle and how it relates to other affected  ...  muscles in 27 Parkinson's disease and 27 essential tremor patients.  ...  P2-0041 and the Project J2-7357 "Exact quantification of muscle control strategies and co-activation patterns in robot-assisted rehabilitation of hemiparetic patients"), and by Spanish government, MINECO  ... 
doi:10.1155/2017/4327175 fatcat:a2x4sw2mfbfkxd53xfw7jrzqua

A Review on Electromyography Decoding and Pattern Recognition for Human-Machine Interaction

Miguel Simao, Nuno Mendes, Olivier Gibaru, Pedro Neto
2019 IEEE Access  
EMG-based systems have been used with relative success to control upper-and lower-limb prostheses, electronic devices and machines, and for monitoring human behavior.  ...  This paper also reviews the current feature extraction techniques, including signal processing and data dimensionality reduction.  ...  The authors indicate that it is possible that electrode pairs in the transverse direction may record regularities in activation patterns across different muscle groups, improving PR accuracy.  ... 
doi:10.1109/access.2019.2906584 fatcat:bmcv75ksmng6rdnwihpab5aa5e

Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects

Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Ali H. Al-Timemy, Sandeep Pirbhulal, Ning Ji, Shixiong Chen, Peng Fang, Guanglin Li
2019 IEEE Access  
The use of intelligent learning algorithm for electromyogram-pattern recognition (EMG-PR)-based control in upper-limb prostheses is considered as an important clinical option.  ...  For instance, variation in muscle contraction force and subject mobility led to degradation in the performance of the EMG-PR controlled prostheses with approximately 17.00% and 8.98% error values, respectively  ...  Interestingly, the use of High Density surface EMG (HDsEMG) recording system enables the acquisition of signals with 2 dimensional arrays of electrodes that covers a wider area of the muscles [10] .  ... 
doi:10.1109/access.2019.2891350 fatcat:ngtcvggghjgwpj6h7b2taripha

Review Of Surface Electromyogram Signals: Its Analysis And Applications

Anjana Goen, D. C. Tiwari
2013 Zenodo  
The most common techniques of EMG signal recording are by using surface and needle/wire electrode where the latter is usually used for interest in deep muscle.  ...  This electrical activity which is displayed in the form of signal is the result of neuromuscular activation associated with muscle contraction.  ...  [85] , effect of detraining [86] , examination on rapid muscle force characteristics after high level match play [87] , quantification of muscle activation pattern of certain activities involving movement  ... 
doi:10.5281/zenodo.1089093 fatcat:xbuunfyzqngbrnonar3lcq7tqq

Blind Source Separation Based Classification Scheme for Myoelectric Prosthesis Hand [chapter]

Ganesh R., Dinesh Kumar
2011 Intelligent Mechatronics  
To identify hand gestures and actions that are a result of multiple active muscles, relative muscle activity from the different muscles in the forearm has to be identified.  ...  Discussion and conclusions The poor results when using raw sEMG is attributed to the closeness of the multiple active muscles resulting in high level of cross-talk.  ...  This book is intended for both mechanical and electronics engineers (researchers and graduate students) who wish to get some training in smart electronics devices embedded in mechanical systems.  ... 
doi:10.5772/15075 fatcat:awqyhiaiqzfstehctvgqcibcoe

Multi-Channel Surface Electromyography for Simultaneous and Proportional Control of Prostheses [chapter]

Silvia Muceli
2013 Multi-Channel Surface Electromyography for Simultaneous and Proportional Control of Prostheses  
Therefore, in Study I, we investigated the use of high-density EMG electrode grids (Merletti et al 2009) for exploiting the spatial information across the muscles to improve myoelectric control.  ...  High-density grids were also used in Study IV. Figure 3 shows the electrode grids used in the two studies.  ... 
doi:10.13052/rp-9788793102361 fatcat:gzl2moljtbfevhpbm2dorzvhr4
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