Review
Physiology
Edith Elgueta-Cancino, Ethan Evans, Eduardo Martinez-Valdes, Deborah Falla
Summary: This review aims to synthesize the available evidence on the effect of resistance training (RT) on motor unit firing properties. The review revealed a lack of high-quality evidence for the effect of RT on motor unit firing properties, with heterogeneity across studies affecting the conclusions that can be drawn.
FRONTIERS IN PHYSIOLOGY
(2022)
Review
Physiology
Trent J. Herda
Summary: Resistance exercise training (RET) is important for increasing muscular strength, but there is a debate about the neural mechanisms involved. Previous studies have speculated about the role of motor units, but the results are inconsistent. This may be due to differences in RET programs and methods for recording motor units. The purpose of this article is to discuss the effects of acute RET on motor unit behavior and provide guidance for future research.
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2022)
Article
Neurosciences
Christopher A. Taylor, Brian H. Kopicko, Francesco Negro, Christopher K. Thompson
Summary: Sex-related disparities in force production of humans have been widely observed. This study compared the motor unit yield and discharge properties of the tibialis anterior muscle between male and female subjects using high-density electromyography arrays and motor unit decomposition. The findings showed that males had nearly twice the amount of motor units as females, while females had higher motor unit discharge rate, lower motor unit action potential amplitude, and lower motor unit action potential frequency content than males.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2022)
Article
Sport Sciences
Patrick Rodrigues, Lucas B. R. Orssatto, Gabriel Siqueira Trajano, Lee Wharton, Geoffrey M. Minett
Summary: The purpose of this study was to investigate the effects of 42 degrees C hot-water immersion on muscle contraction function and motor unit discharge rates. The results showed that hot-water immersion led to increased core and muscle temperature, decreased maximal voluntary contraction torque and voluntary activation level, and had no significant effect on muscle electromyography activity and peak twitch torque. Additionally, passive muscle temperature increase reduced the required motor unit discharge rates to achieve the same torque.
SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS
(2023)
Article
Physiology
Carina M. Germer, Dario Farina, Leonardo A. Elias, Stefano Nuccio, Francois Hug, Alessandro Del Vecchio
Summary: This study characterized cross talk for three groups of synergistic muscles by identifying individual motor unit action potentials, and investigated the influence of spatial filtering on cross talk levels. Results showed that spatial filtering effectively reduced but did not eliminate cross talk, which could lead to physiological misinterpretations of EMG signals.
JOURNAL OF APPLIED PHYSIOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Weichao Guo, Xinjun Sheng, Xiangyang Zhu
Summary: This article presents a novel approach to comprehensively evaluate muscle fatigue through the fusion of mini-grid surface electromyography (sEMG), mechanomyography (MMG), and near-infrared spectroscopy (NIRS). This method provides a detailed and reliable physiological assessment of muscle fatigue, and has great potential applications in sports, clinical diagnosis, and human-machine interaction.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Behavioral Sciences
Benjamin G. Schultz, Rachel M. Brown, Sonja A. Kotz
Summary: The study investigates how acoustic features in music trigger involuntary peripheral muscle responses, with amplitude, intensity, and spectral centroid being perceived as the most salient features. The results suggest an involuntary mechanism for audio-motor integration, potentially relying on brainstem-spinal or brainstem-cerebellar-spinal pathways. A new framework is proposed to explain the full range of human sensorimotor capabilities.
Article
Health Care Sciences & Services
Yinghao Wang, Chunfu Lu, Mingyu Zhang, Jianfeng Wu, Zhichuan Tang
Summary: This paper investigates the use of surface electromyogram (sEMG) features and a convolutional neural network (CNN) model to accurately classify muscle states in knee joint strength training. Results show that the CNN model outperforms other models, achieving a higher overall recognition accuracy of 91.38%. The findings suggest that the CNN dynamic fatigue recognition model based on subjective and objective information feedback has better recognition performance.
Article
Rehabilitation
Gamze Kus, Ela Tarakci, Arzu Razak Ozdincler, Ersin Ercin
Summary: This study compared the effectiveness of sensory-motor training and resistance training in patients with knee osteoarthritis. The results showed that both training methods had similar effects in improving knee osteoarthritis symptoms. This suggests that sensory-motor training may be an effective treatment method.
CLINICAL REHABILITATION
(2023)
Article
Medicine, General & Internal
Anna Mika, Piotr Mika, Lukasz Oleksy, Anita Kulik
Summary: This study evaluated the changes in bioelectrical activity of lower limb muscles in claudicating patients during a 12-week supervised treadmill training program. The results indicated that both proximal and distal muscles showed beneficial changes after the training period, suggesting that increased foot plantar flexion and stronger push-off as well as greater hip extension were the main mechanisms contributing to the observed improvement in gait pattern.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
Malte Mechtenberg, Axel Schneider
Summary: Motion predictions for limbs can be made using Hill-based muscle models, which require additional information about the mechanical system state of the muscle for accurate predictions. The position of the center of the innervation zone, extracted from surface electromyograms (sEMG), can provide potential information about the muscle state. A wavelet-based algorithm is proposed to locate motor unit potentials in sEMG channels and identify innervation point candidates, allowing estimation of the innervation zone center.
FRONTIERS IN NEUROROBOTICS
(2023)
Article
Rehabilitation
Yan-fang Sui, Zhen-hua Cui, Zhen-hua Song, Qian-qian Fan, Xia-fei Lin, Binbin Li, Lang-qian Tong
Summary: Trunk training using motor imagery can significantly improve the trunk control ability and balance function of stroke patients.
BMC SPORTS SCIENCE MEDICINE AND REHABILITATION
(2023)
Article
Chemistry, Multidisciplinary
Francisco Gomez-Donoso, Felix Escalona, Nadia Nasri, Miguel Cazorla
Summary: The system described in this paper, HaReS, is designed for hand motor skill rehabilitation and recovery. It integrates a series of exercises and low-cost devices for quantitative analysis, aiming to improve patient skills and adherence to the rehabilitation plan. Testing has shown that both patients and therapists using HaReS felt more motivated, leading to improved adherence and increased patient services by therapists.
APPLIED SCIENCES-BASEL
(2021)
Article
Neurosciences
Lin Mao, Xiao Lu, Chao Yu, Kuiying Yin
Summary: This study examined the effects of rehabilitation training using an sEMG prosthesis on muscle growth and neural activity in an individual who had undergone hand amputation. The findings revealed an increase in fast muscle fiber and changes in neural network efficiency and information integration. The results suggest that rehabilitation training can promote physiological and neural changes in amputees.
Article
Neurosciences
Russell E. Banks, Deryk S. Beal, Eric J. Hunter
Summary: The study found that athletes with a history of SRC have slower speech rates and require more speech muscle activation to complete tasks compared to controls.