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Electromyogram and EMG

Xiao Tang, Xu Zhang, Xiaoping Gao, Xiang Chen, Ping Zhou
The objective of this study was to develop sample entropy (SampEn) as a novel surface electromyogram (EMG) biomarker to quantitatively examine post-stroke neuromuscular alternations. The SampEn method was performed on surface EMG interference patterns recorded from biceps brachii muscles of nine healthy control subjects, fourteen subjects with subacute stroke, and eleven subjects with chronic stroke, respectively. Measurements were collected during isometric contractions of elbow flexion at different constant force levels...
August 8, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Derek Rutherford, Lindsey Buckingham, Janice Moreside, Ivan Wong, Glen Richardson
BACKGROUND: Knee function is impaired in individuals with moderate hip osteoarthritis. How this extends to those undergoing total hip arthroplasty is unknown despite the common requirement for knee arthroplasty in this population. The study purpose was to determine whether sagittal plane knee joint movements and quadriceps and hamstring activation patterns differ between individuals with either moderate or severe unilateral hip osteoarthritis, and between ipsilateral and contralateral knees...
August 8, 2018: Clinical Biomechanics
Ning Li, Tie Yang, Peng Yu, Junling Chang, Liao Zhao, Xingang Zhao, Imad H Elhajj, Ning Xi, Lianqing Liu
Stroke has become the leading cause of disability and the second-leading cause of mortality worldwide. Dyskinesia complications are the major reason of these high death and disability rates. As a tool for rapid motion function recovery in stroke patients, exoskeleton robots can reduce complications and thereby decrease stroke mortality rates. However, existing exoskeleton robots interfere with the wearer's natural motion and damage joints and muscles due to poor human-machine coupling. In this paper, a novel ergonomic soft bionic exoskeleton robot with 7 degrees of freedom was proposed to address these problems based on the principles of functional anatomy and sports biomechanics...
August 8, 2018: Bioinspiration & Biomimetics
Alejandra Rosales-Lagarde, Erika E Rodriguez-Torres, Benjamín A Itzá-Ortiz, Pedro Miramontes, Génesis Vázquez-Tagle, Julio C Enciso-Alva, Valeria García-Muñoz, Lourdes Cubero-Rego, José E Pineda-Sánchez, Claudia I Martínez-Alcalá, Jose S Lopez-Noguerola
In Older Adults (OAs), Electroencephalogram (EEG) slowing in frontal lobes and a diminished muscle atonia during Rapid Eye Movement sleep (REM) have each been effective tracers of Mild Cognitive Impairment (MCI), but this relationship remains to be explored by non-linear analysis. Likewise, data provided by EEG, EMG (Electromyogram) and EOG (Electrooculogram)-the three required sleep indicators-during the transition from REM to Non-REM (NREM) sleep have not been related jointly to MCI. Therefore, the main aim of the study was to explore, with results for Detrended Fluctuation Analysis (DFA) and multichannel DFA (mDFA), the Color of Noise (CN) at the NREM to REM transition in OAs with MCI vs...
2018: Frontiers in Psychology
Fahad Alyami, Tamer Ewida, Hamdan Alhazmi, Mahmoud Trbay, Mostafa Arafa, Moina Tahir, Khalid Fouda Neel
INTRODUCTION: Non-neurogenic dysfunctional voiding (NDV) accounts for a significant portion of pediatric urology outpatient clinic visits. Biofeedback (BF) is a promising, non-invasive modality for treating children with DV and daytime wetting. Our objective was to investigate BF's efficacy as a single first-line treatment for children with NDV and diurnal enuresis. METHODS: A retrospective cohort study was conducted with a total of 61 consecutive patient records from January 2009 to March 2016...
July 24, 2018: Canadian Urological Association Journal, Journal de L'Association des Urologues du Canada
Ayumi Akazawa, Toshiaki Kodera, Kosuke Awara, Hiroshi Arai, Shinsuke Yamada, Yoshifumi Higashino, Kenzo Tsunetoshi, Ken Matsuda, Hidetaka Arishima, Ryuhei Kitai, Kenichiro Kikuta
Preservation of facial nerve function is crucial during vestibular schwannoma surgery. Here, we report the utility of continuous intraoperative monitoring of evoked facial nerve electromyograms(EMGs)for preservation of facial nerve function during vestibular schwannoma surgery. A 64-year-old man presented with left ear hearing disturbance. CT and MRI revealed a tumor mass(4cm)with cyst formation in the left cerebellopontine angle. Microsurgical removal was performed with continuous intraoperative monitoring of evoked facial nerve EMGs...
July 2018: No Shinkei Geka. Neurological Surgery
Dustin L Crouch, Lizhi Pan, William Filer, Jonathan W Stallings, He Huang
Simultaneous and proportional control (SPC) of neural-machine interfaces uses magnitudes of smoothed electromyograms (EMG) as control inputs. Though surface (sEMG) electrodes are common for clinical neural-machine interfaces, intramuscular (iEMG) electrodes may be indicated in some circumstances (e.g. for controlling many degrees of freedom). However, differences in signal characteristics between sEMG and iEMG may influence SPC performance. We conducted a pilot study to determine the effect of electrode type (sEMG and iEMG) on real-time task performance with SPC based on a novel 2-degree-of-freedom EMG-driven musculoskeletal model of the wrist and hand...
July 25, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Ali H Al-Timemy, Guido Bugmann, Javier Escudero
Electromyogram (EMG)-based Pattern Recognition (PR) systems for upper-limb prosthesis control provide promising ways to enable an intuitive control of the prostheses with multiple degrees of freedom and fast reaction times. However, the lack of robustness of the PR systems may limit their usability. In this paper, a novel adaptive time windowing framework is proposed to enhance the performance of the PR systems by focusing on their windowing and classification steps. The proposed framework estimates the output probabilities of each class and outputs a movement only if a decision with a probability above a certain threshold is achieved...
July 24, 2018: Sensors
Xiaoling Chen, Ping Xie, Yuanyuan Zhang, Yuling Chen, Shengcui Cheng, Litai Zhang
Motor dysfunction is a major consequence after stroke and it is generally believed that the loss of motor ability is caused by the impairments in neural network that controls movement. To explore the abnormal mechanisms how the brain controls shoulder abduction and elbow flexion in "flexion synergy" following stroke, we used the functional corticomuscular coupling (FCMC) between the brain and the muscles as a tool to identify the temporal evolution of corticomuscular interaction between the synkinetic and separate phases...
2018: NeuroImage: Clinical
Alessandro Del Vecchio, Francesco Negro, Deborah Falla, Ilenia Bazzucchi, Dario Farina, Francesco Felici
Strength trained individuals (ST) develop greater levels of force when compared to untrained subjects. These differences are partly of neural origin and can be explained by training induced changes in the neural drive to the muscles. In the present study we hypothesize a greater rate of torque development (RTD) and faster recruitment of motor units with greater muscle fiber conduction velocity (MFCV) in ST when compared to a control cohort. MFCV was assessed during maximal voluntary isometric explosive contractions of the elbow flexors in eight ST and eight control individuals...
July 19, 2018: Journal of Applied Physiology
Vilfredo De Pascalis, Kathrin Sommer, Paolo Scacchia
In this study, we attempt to validate previous findings on extraversion-related differences in speed of sensorimotor processing and to extend them into Behavioural Approach System (BAS) subtraits within the framework of the revised Reinforcement Sensitivity Theory (rRST) of personality. Here, we assessed psychological traits of extraversion (E), four BAS facets (Goal-Drive Persistence, BAS-GDP; Reward Interest, BAS-RI; Reward Reactivity, BAS-RR; Impulsivity, BAS-I), Behavioural Inhibition System (BIS), and Fight-Flight-Freeze System (FFFS) in 51 volunteers (28 women)...
July 27, 2018: Biological Psychology
Weiming Wang, Biao Chen, Peng Xia, Jie Hu, Yinghong Peng
Electromyogram (EMG) signal decoding is the essential part of myoelectric control. However, traditional machine learning methods lack the capability of learning and expressing the information contained in EMG signals, and the robustness of the myoelectric control system is not sufficient for real life applications. In this article, a novel model based on recurrent convolutional neural networks (RCNNs) is proposed for hand movement classification and tested on the noninvasive EMG dataset. The proposed model uses deep architecture, which has advantages of dealing with complex time-series data, such as EMG signals...
July 13, 2018: Artificial Organs
Zhiyuan Lu, Raymond Kai-Yu Tong, Xu Zhang, Sheng Li, Ping Zhou
OBJECTIVE: Myoelectric pattern recognition has been successfully applied as a human-machine interface to control robotic devices such as prostheses and exoskeletons, significantly improving the dexterity of myoelectric control. This study investigates the feasibility of applying myoelectric pattern recognition for controlling a robotic hand in stroke patients. METHODS: Myoelectric pattern recognition of six hand motion patterns was performed using forearm electromyogram (EMG) signals in paretic side of 8 stroke subjects...
May 25, 2018: IEEE Transactions on Bio-medical Engineering
Sa Zhou, Ping Xie, Xiaoling Chen, Yibo Wang, Yuanyuan Zhang, Yihao Du
BACKGROUND: As a non-modeled information theoretical measure, the transfer entropy (TE) could be applied to quantitatively analyze the linear and nonlinear coupling characteristics between two observations. However, the parameters selection of TE (the parameters used in state space reconstruction and estimating Shannon entropy) has a serious influence on the accuracy of its results. NEW METHOD: In this study, the hybrid particle swarm optimization (HPSO) was applied to improve the accuracy of TE by optimizing its parameters...
July 5, 2018: Journal of Neuroscience Methods
Dmitriy Melkonian, Terry Blumenthal, Edward Barin
Probabilistic formalism of quantum mechanics is used to quantitatively link the global scale mass potential with the underlying electrical activity of excitable cells. Previous approaches implemented methods of classical physics to reconstruct the mass potential in terms of explicit physical models of participating cells and the volume conductor. However, the multiplicity of cellular processes with extremely intricate mixtures of deterministic and random factors prevents the creation of consistent biophysical parameter sets...
2018: PloS One
R Matsuura, K Hirakoba, K Takahashi
The purpose of this study was to examine the effects of submaximal cycling at different exercise intensities on maximal isometric force output of the non-exercised elbow flexor muscles after the cycling. A total of 8 healthy young men performed multiple maximal voluntary contractions by the right elbow flexion before, immediately after, 5 min after, and 10 min after a 6-min submaximal cycling at ventilatory threshold (LI), 70% [Formula: see text] (MI), and 80% [Formula: see text] (HI) with both arms relaxed in the air...
June 1, 2018: Physiology International
Woo-Kie Min, Sang-Bong Na, Jin-An Jang
PURPOSE: To evaluate and compare the accuracy of the placement of thoracic pedicle screws between concave and convex side curve using freehand technique and triggered electromyogram (EMG). METHODS: Three-hundred sixty eight thoracic pedicle screws were included for the evaluation of accuracy from postoperative computed tomography (CT) scans in 24 patients with adolescent idiopathic scoliosis with a mean follow-up of 27 months (range 24-58 months). All screws had stimulation thresholds greater than 6 mA...
May 2018: Journal of Orthopaedic Surgery
Chenyun Dai, Xiaogang Hu
The human hand is capable of producing versatile yet precise movements largely owing to the complex neuromuscular systems that control our finger movement. This study seeks to quantify the spatial activation patterns of the forearm flexor muscles during individualized finger flexions. High-density (HD) surface electromyogram (sEMG) signals of forearm flexor muscles were obtained, and individual motor units were decomposed from the sEMG. Both macro-level spatial patterns of EMG activity and micro-level motor unit distributions were used to systematically characterize the forearm flexor activation patterns...
June 3, 2018: International Journal of Neural Systems
Jose Luis Vargas Luna, Winfried Mayr, Jorge-Armando Cortés-Ramirez
There is multiple evidence in the literature that a sub-threshold pre-pulse, delivered immediately prior to an electrical stimulation pulse, can alter the activation threshold of nerve fibers and motor unit recruitment characteristics. So far, previously published works combined monophasic stimuli with sub-threshold depolarizing pre-pulses (DPPs) with inconsistent findings-in some studies, the DPPs decreased the activation threshold, while in others it was increased. This work aimed to evaluate the effect of DPPs during biphasic transcutaneous electrical stimulation and to study the possible mechanism underlying those differences...
June 9, 2018: Medical & Biological Engineering & Computing
Torur Dalsgaard, Morten D Jensen, Dorthe Hartwell, Berit J Mosgaard, Annemette Jørgensen, Bente R Jensen
OBJECTIVE: To study musculoskeletal workload in experienced surgeons during laparoscopic surgery (LS) compared with robotic assisted laparoscopy (RALS). BACKGROUND: 70-90% of surgeons who regularly perform LS report musculoskeletal symptoms, mainly in neck and shoulders. Data regarding the potential ergonomic benefits of RALS in a clinical setting is very limited. METHODS: Twelve surgeons with advanced experience in both LS and RALS each performed 2 hysterectomies on the same day...
June 19, 2018: Annals of Surgery
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