Article
Neurosciences
Jonathan P. Beausejour, Paul Bohlen, Kylie K. Harmon, Ryan M. Girts, Jason I. Pagan, Debbie L. Hahs-Vaughn, Trent J. Herda, Matt S. Stock
Summary: Approaches for validating motor unit firing times following surface EMG signal decomposition have not been agreed upon. This study compared motor unit results using the reconstruct-and-test and spike-triggered averaging approaches. The application of STA had minimal influence on the surface EMG signal decomposition results. Stringent reconstruct-and-test accuracy thresholds influenced motor unit-derived relationships at high forces, potentially due to the increased presence of large motor unit action potentials. Investigators can expect negligible changes in motor unit-derived linear regression relationships with the application of secondary validation procedures using the PDIII algorithm.
EXPERIMENTAL BRAIN RESEARCH
(2023)
Article
Neurosciences
Shun Kunugi, Ales Holobar, Tsutomu Kodera, Heishiro Toyoda, Kohei Watanabe
Summary: Different neurophysiological strategies are used for force control and angle adjustment tasks. Motor unit firing rate is similarly regulated in the medial gastrocnemius muscle between the two tasks as force is increased. The increase in force does not seem to lead to early fatigue in position tasks.
JOURNAL OF NEUROPHYSIOLOGY
(2021)
Article
Chemistry, Analytical
Yuichi Nishikawa, Kohei Watanabe, Ales Holobar, Tetsuya Takahashi, Noriaki Maeda, Hirofumi Maruyama, Shinobu Tanaka, Allison S. Hyngstrom
Summary: The study revealed a moderate-to-strong correlation between degeneration of dopaminergic pathways and MU firing behavior in PD patients, indicating that abnormalities in MU activity can be used to predict central nervous system degeneration following PD.
Article
Engineering, Biomedical
Dennis Yeung, Francesco Negro, Ivan Vujaklija
Summary: The careful selection of tracked motor units (MUs) can optimize the efficiency of MU-driven interfacing. By leveraging MUs that exhibit strong nonlinear relationships with target motions, resources can be freed up for the implementation of more robust and adaptive MU decoding techniques in the future.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
Milos Kalc, Jakob Skarabot, Matjaz Divjak, Filip Urh, Matej Kramberger, Matjaz Vogrin, Ales Holobar
Summary: We developed and tested a methodology for identifying individual motor unit (MU) firings from surface high-density EMG recorded Hoffman reflex (H-reflex). Synthetic HD-EMG signals were constructed to simulate different levels of muscle contractions and H-reflexes, while experimental H-reflexes were recorded from 12 men using HD-EMG arrays. The Convolution Kernel Compensation method was used to estimate MU filters, which accurately identified MU firings and latencies in both synthetic and experimental signals.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
Xiao Tang, Xu Zhang, Maoqi Chen, Xiang Chen, Xun Chen
Summary: This study introduces a novel framework for interpreting motor unit (MU) activities and applying it to muscle force decoding. By characterizing the spatially distributed firing waveforms of MUs and utilizing a twitch force model, a deep network is designed to predict normalized force. Examination of MU category distribution to calibrate actual force levels shows the effectiveness of this framework in muscle force estimation.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Sport Sciences
Jakob Skarabot, Jonathan P. Folland, Jules Forsyth, Apostolos Vazoukis, Ales Holobar, Alessandro Del Vecchio
Summary: This study examined the motor unit (MU) discharge properties and MU conduction velocity in long-term resistance-trained (RT) and untrained (UT) men. The results showed that both groups had similar MU discharge characteristics during maximal and submaximal contractions, while the RT group had higher MU conduction velocity, which may explain the strength difference between the two groups.
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2023)
Article
Engineering, Biomedical
Hikaru Yokoyama, Naotsugu Kaneko, Atsushi Sasaki, Akira Saito, Kimitaka Nakazawa
Summary: Objective: This study investigated the firing behavior of motor units (MUs) in the tibialis anterior (TA) muscle during slow walking using high-density surface electromyogram (HDsEMG) decomposition. Main results include gait phase-specific firing, doublet firings, and high MU synchronization during walking, which suggests flexible control of MU firing by the central nervous system during human walking.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Xinhui Li, Xu Zhang, Xiao Tang, Maoqi Chen, Xiang Chen, Xun Chen, Aiping Liu
Summary: The study introduces a novel deep learning method combined with a physiological twitch force model to predict muscle force from individual motor unit activities. Experimental results demonstrate the high accuracy and effectiveness of this method in muscle force estimation.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Neurosciences
Mehdi Shirzadi, Hamid R. Marateb, Kevin C. McGill, Miquel Angel Mananas
Summary: This study compared different algorithms for resolving superimposed MUAPs, finding that PSO performed the best in the first set, BB in the second set, and BB ranked first in the entire dataset. While BB algorithm is generally fast, it may not be suitable for all real-time applications.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2021)
Article
Engineering, Multidisciplinary
Linfang Qian, Guangsong Chen, Minghao Tong, Jinsong Tang
Summary: In this paper, the kinematic and dynamic equations of the projectile flight and projectile-artillery coupling system are constructed based on the topological description method. The design principle of artillery firing accuracy is proposed, and the error analysis, key parameter extraction, and control method of the rotating band are analyzed. The presented method is verified through a case study.
DEFENCE TECHNOLOGY
(2022)
Article
Engineering, Biomedical
H. Ashraf, U. Shafiq, Q. Sajjad, A. Waris, O. Gilani, M. Boutaayamou, O. Bruels
Summary: This paper proposes a denoising technique based on the variational mode decomposition (VMD) for both surface electromyography signals (sEMG) and intramuscular electromyography signals (iEMG). The results demonstrate that the combination of the iterative interval thresholding (IIT) technique with the VMD-based smoothly clipped absolute deviation (SCAD) thresholding operator yields the best denoising results while retaining the original signal characteristics.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Clinical Neurology
Yu-ichi Noto, Kohei Watanabe, Ales Holobar, Takamasa Kitaoji, Yukiko Tsuji, Yuta Kojima, Fukiko Kitani-Morii, Toshiki Mizuno, Masanori Nakagawa
Summary: The study aimed to elucidate the characteristics of motor unit (MU) firing rate in CMT1A patients using high-density surface electromyography. Results showed that CMT1A patients had lower MU firing rates compared to healthy controls, and the firing rates decreased over time in CMT1A patients, suggesting that MU firing rate could serve as a potential short-term biomarker of axonal damage in CMT1A patients.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Physiology
Yen-Ting Lin, Yi-Ching Chen, Gwo-Ching Chang, Ing-Shiou Hwang
Summary: Visual feedback that reinforces accurate movements may not induce neuromuscular adaptations to the trained visuomotor task in young adults, possibly due to intrinsic error dead-zones. The error reduction (ER) group, which received visual feedback with virtual error reduction, did not show evident improvement in task accuracy or motor unit behaviors compared to the control group. In contrast, the control group, trained with visual feedback but without error reduction, exhibited significant task improvements and modulated motor unit discharge.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Neurosciences
Shun Kunugi, Ales Holobar, Tsutomu Kodera, Heishiro Toyoda, Kohei Watanabe
Summary: This study investigated the influence of knee joint flexion on motor unit activity in lower leg muscles during isometric contraction. The findings suggest that flexion of the knee joint increases the torque-dependent change of motor unit activity in the medial gastrocnemius and soleus muscles.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2022)
Letter
Physiology
Carlo J. De Luca, S. Hamid Nawab, Joshua C. Kline
JOURNAL OF APPLIED PHYSIOLOGY
(2015)
Article
Neurosciences
Carlo J. De Luca, Shey-Sheen Chang, Serge H. Roy, Joshua C. Kline, S. Hamid Nawab
JOURNAL OF NEUROPHYSIOLOGY
(2015)
Letter
Neurosciences
Carlo J. De Luca, Joshua C. Kline
JOURNAL OF NEUROPHYSIOLOGY
(2016)
Article
Neurosciences
Joshua C. Kline, Carlo J. De Luca
JOURNAL OF NEUROPHYSIOLOGY
(2016)
Article
Neurosciences
Paola Contessa, Carlo J. De Luca, Joshua C. Kline
JOURNAL OF NEUROPHYSIOLOGY
(2016)
Article
Acoustics
Geoffrey S. Meltzner, James T. Heaton, Yunbin Deng, Gianluca De Luca, Serge H. Roy, Joshua C. Kline
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2017)
Article
Engineering, Biomedical
Geoffrey S. Meltzner, James T. Heaton, Yunbin Deng, Gianluca De Luca, Serge H. Roy, Joshua C. Kline
JOURNAL OF NEURAL ENGINEERING
(2018)
Article
Neurosciences
Paola Contessa, John Letizi, Gianluca De Luca, Joshua C. Kline
JOURNAL OF NEUROPHYSIOLOGY
(2018)
Article
Neurosciences
Carlo J. De Luca, Joshua C. Kline
JOURNAL OF NEUROPHYSIOLOGY
(2014)
Article
Neurosciences
Carlo J. De Luca, Joshua C. Kline, Paola Contessa
JOURNAL OF NEUROPHYSIOLOGY
(2014)
Article
Engineering, Biomedical
Michael D. Twardowski, Serge H. Roy, Zhi Li, Paola Contessa, Gianluca De Luca, Joshua C. Kline
JOURNAL OF NEURAL ENGINEERING
(2019)
Article
Audiology & Speech-Language Pathology
Jennifer M. Vojtech, Michael D. Chan, Bhawna Shiwani, Serge H. Roy, James T. Heaton, Geoffrey S. Meltzner, Paola Contessa, Gianluca De Luca, Rupal Patel, Joshua C. Kline
Summary: This study evaluated a novel communication system that translates surface electromyographic signals into personalized digital voice. Results showed that synthetic speech had higher acceptability and intelligibility than electrolaryngeal (EL) speech, while natural speech was rated as the most acceptable, intelligible, and had the highest phrasal stress classification accuracy.
JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH
(2021)
Article
Engineering, Mechanical
Jennifer M. M. Vojtech, Claire L. L. Mitchell, Laura Raiff, Joshua C. C. Kline, Gianluca De Luca
Summary: This study investigates the use of surface electromyography (sEMG) to predict acoustic estimates of prosody in silent speech interfaces (SSIs). The results show that sEMG signals can be leveraged to accurately estimate fundamental frequency and intensity contours, improving the expressive attributes of SSIs. This research highlights the importance of sEMG as an alternative means of detecting prosody and shows promise for future development of SSIs.
Article
Computer Science, Artificial Intelligence
Claire L. Mitchell, Gabriel J. Cler, Susan K. Fager, Paola Contessa, Serge H. Roy, Gianluca De Luca, Joshua C. Kline, Jennifer M. Vojtech
Summary: This study introduces an ability-based method for personalized keyboard generation, which utilizes an individual's own movement and human-computer interaction data to automatically compute a personalized virtual keyboard layout. By capturing directional constraints and preferences to optimize the user's movement abilities, the communication efficiency is significantly improved.
MULTIMODAL TECHNOLOGIES AND INTERACTION
(2022)