Review
Chemistry, Analytical
Nestor J. Jarque-Bou, Joaquin L. Sancho-Bru, Margarita Vergara
Summary: The motion of the hand is crucial for daily activities, and measuring muscle activation signals is important in various scientific fields. EMG can be used for neuromuscular characterization, but complexity of the musculoskeletal system poses challenges.
Article
Multidisciplinary Sciences
Frederique Dupuis, Gisela Sole, Craig Wassinger, Mathieu Bielmann, Laurent J. Bouyer, Jean-Sebastien Roy
Summary: This study investigated how fatigue affects shoulder movements during upper limb reaching. The results showed that in a fatigued state, there were changes in movement strategy, including increased trunk and sternoclavicular movements and less glenohumeral movement. The Fatigue group also exhibited a decrease in movement speed and no improvement in accuracy, unlike the Control group which showed improvements in speed and accuracy after the experiment.
Article
Biophysics
Maryam Mashayekhi, Majid M. Moghaddam
Summary: This study presents a self-adapting control method based on online fatigue detection for upper-limb rehabilitation therapy. Experimental tests validate the feasibility of the method and compare the performance differences between two control methods. Simulations further confirm the effectiveness of the proposed method in stroke patients' rehabilitation.
JOURNAL OF BIOMECHANICS
(2022)
Article
Chemistry, Analytical
Parthan Olikkal, Dingyi Pei, Tulay Adali, Nilanjan Banerjee, Ramana Vinjamuri
Summary: This paper investigates the performance of musculoskeletal synergies in controlling and coordinating hand movements. By extracting and fusing kinematic and muscle synergies, the synergies extracted using ICA outperformed those extracted using PCA.
Article
Multidisciplinary Sciences
Hiroshi Shinohara, Ryota Hosomi, Ryuji Sakamoto, Toshiya Urushihata, Shione Yamamoto, Chikashi Higa, Shinpei Oyama
Summary: This study aimed to determine whether a low-tremor side-bridge exercise for 4 weeks improves bow tremor during archery movements. The intervention group performed low-tremor side bridges for 4 weeks. The intervention reduced bow tremor and the median power frequency of the middle deltoid.
Article
Engineering, Biomedical
Jiamin Zhao, Yang Yu, Xu Wang, Shihan Ma, Xinjun Sheng, Xiangyang Zhu
Summary: In this study, we proposed a novel method for extracting muscle excitations to estimate hand and wrist movements using muscle synergy. The offline experiments and online test demonstrated the effectiveness of this approach in accurately estimating muscle excitations and outperforming traditional MM and regression methods.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Arsalan Asemi, Keivan Maghooli, Fereidoun Nowshiravan Rahatabad, Hamid Azadeh
Summary: This study aims to confirm handwritten signatures using hand muscle synergy as a biometric characteristic. Surface electromyography (EMG) signals from eight muscles were recorded and muscle synergy was extracted using non-negative matrix factorization (NMF) method. The system achieved a low error rate in identifying genuine and forged signatures.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Geriatrics & Gerontology
Paulo Cezar Rocha dos Santos, Claudine J. C. Lamoth, Lilian Teresa Bucken Gobbi, Inge Zijdewind, Fabio Augusto Barbieri, Tibor Hortobagyi
Summary: The study compared muscle activation patterns of older and younger adults during repetitive sit-to-stand tasks, finding that older adults activated certain muscles more, earlier, and for longer duration. Despite completing fewer STS trials, older adults reported similar perceived exertion levels as younger adults. Maximum voluntary isometric knee extension force decreased at the end of the task, with similar declines in muscle activation levels across different age groups.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Biology
Jose Priego-Quesada, Marcio F. Goethel, Klaus Magno Becker, Ricardo J. Fernandes, Joao Paulo Vilas-Boas
Summary: This tutorial paper describes the methodology and examples of surface electromyography decomposition to teach the concept of motor unit recruitment. This technique can facilitate the introduction of theoretical content in practical classes for physiology and biomechanics academics.
Article
Neurosciences
Feifei Zhu, Yurong Li, Zhengyi Shi, Wuxiang Shi
Summary: The study examines the synchrony and functional connections between the functional cortex and muscles during hand-grasping movements. The method involves analyzing the electroencephalogram and electromyographic signal data of healthy participants. The results show bidirectional coupling between the cortex and muscles in the beta and gamma frequency bands during hand-grasping movements.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Shiqi Yang, Min Li, Jiale Wang
Summary: This article proposes a multimodal fusion strategy of EEG and sEMG based on graph theory to improve the accuracy and robustness of hand motion recognition. By considering the temporal signals of EEG and sEMG as the features of nodes and the functional connectivity as the weights of edges, the proposed approach achieves significantly higher accuracy than parallel fusion and single-modality models under abnormal states such as muscular fatigue and weakness.
IEEE SENSORS JOURNAL
(2022)
Article
Agriculture, Multidisciplinary
Jianing Wang, Bangxin Li, Zhiguo Li, Igor Zubrycki, Grzegorz Granosik
Summary: The study revealed that the grasping pressure during tomato picking is influenced by different factors in the separation and release stages, including the intersection angle and fruit size. The pressure contribution from different hand regions varies, with the distal regions of the thumb, middle finger, and index finger playing a key role in fruit picking.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Neurosciences
Daniel B. Free, Ian Syndergaard, Adam C. Pigg, Silvia Muceli, Johanna Thompson-Westra, Karin Mente, Carine W. Maurer, Dietrich Haubenberger, Mark Hallett, Dario Farina, Steven K. Charles
Summary: Although there are limited treatment options for essential tremor (ET), peripheral tremor suppression methods have shown potential. This study aimed to quantify the relationships between tremor activity in muscles throughout the upper limb. Muscle activity was recorded from 15 major upper limb muscles in subjects with ET, and coherence and phase difference between muscle pairs were calculated. The results showed that patients had significantly more coherence than control subjects, particularly among agonists.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Article
Engineering, Biomedical
Mark Gotthelf, DeWayne Townsend, William Durfee
Summary: The newly developed upper-limb assessment tool is simple and engaging for measuring muscle strength and fatigue in children, including those with muscular dystrophy. It motivates children through a game-based interface to complete grip tests. The tool showed good usability and applicability in the tested population.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Chemistry, Analytical
Lorenz Kahl, Ulrich G. Hofmann
Summary: This study investigates methods for elimination of cardiogenic artifacts in respiratory sEMG signals and compares their performance in fatigue detection with different algorithms. The TSWD method showed superior results in fatigue detection across different levels of artifact contamination, with SMR5 being determined as the best fatigue detection algorithm.