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Mustafa Nadi, Rajiv Midha
No abstract text is available yet for this article.
January 17, 2017: Journal of Neurosurgery
Linda Resnik, Matthew Borgia, Frantzy Acluche
BACKGROUND: Measures of activity performance for adults with upper limb amputation are needed. The purposes of this study were to evaluate the measurement properties of a new measure of activity performance for adults with upper limb amputation, which we call the Brief Activity Measure for Upper Limb Amputees (BAM-ULA) and to compare BAM-ULA scores for users of different types of prostheses. METHODS: In all, 35 persons with upper limb amputation were administered the BAM-ULA, twice within 1 week...
January 1, 2017: Prosthetics and Orthotics International
Xiangxin Li, Oluwarotimi Williams Samuel, Xu Zhang, Hui Wang, Peng Fang, Guanglin Li
BACKGROUND: Most of the modern motorized prostheses are controlled with the surface electromyography (sEMG) recorded on the residual muscles of amputated limbs. However, the residual muscles are usually limited, especially after above-elbow amputations, which would not provide enough sEMG for the control of prostheses with multiple degrees of freedom. Signal fusion is a possible approach to solve the problem of insufficient control commands, where some non-EMG signals are combined with sEMG signals to provide sufficient information for motion intension decoding...
January 7, 2017: Journal of Neuroengineering and Rehabilitation
Bryson H Nakamura, Michael E Hahn
OBJECTIVE: To investigate whether lower extremity muscle activation patterns differ in the strides leading to locomotive state transitions in the involved limb of individuals with transtibial amputation. It was hypothesized that all transitions would elicit activation differences between strides as the subjects moved toward the transition event. DESIGN: A single sample, observational study. SETTING: The study was conducted in the hallways, ramps and stairs of a university building...
January 2, 2017: Archives of Physical Medicine and Rehabilitation
Youngjin Na, Sangjoon J Kim, Sungho Jo, Jung Kim
Previous pattern recognition algorithms using surface electromyography (sEMG) have been developed for subsets of predefined hand movements without considering muscle structure. In order to decode hand movements, it is important to know which movements are appropriate for PR due to the different independence of movements between individuals and the high correlated characteristics of sEMG patterns between movements. This paper proposes a method to personally rank the order of hand movements from subsets (31 finger flexion, 31 finger extension, and 4 wrist movements in this paper)...
January 4, 2017: Medical & Biological Engineering & Computing
Jiayuan He, Xiangyang Zhu
Pattern recognition-based myoelectric control is greatly influenced by electrode shift, which is inevitable during prosthesis donning and doffing. This study used gray-level co-occurrence matrix (GLCM) to represent the spatial distribution among high density (HD) electrodes and improved its calculation based on the using condition of myoelectric system, proposing a new feature, iGLCM, to improve the robustness of the system. The effects of its two parameters, quantization level and input data, were first evaluated and it was found that improved discrete Fourier transform (iDFT) performed better than the other three (time-domain, autoregressive, root mean square) as the input data of iGLCM, and increasing quantization level did not significantly decrease the error rate of iGLCM when it was above 8...
December 22, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu
It is evident that user training significantly affects performance of pattern-recognition based myoelectric prosthetic device control. Despite plausible classification accuracy on offline datasets, online accuracy usually suffers from the changes in physiological conditions and electrode displacement. The user ability in generating consistent EMG patterns can be enhanced via proper user training strategies in order to improve online performance. This study proposes a clustering-feedback strategy that provides real-time feedback to users by means of a visualised online EMG signal input as well as the centroids of the training samples, whose dimensionality is reduced to minimal number by dimension reduction...
December 21, 2016: IEEE Transactions on Bio-medical Engineering
Magdalena Przybylska-Feluś, Agata Furgała, Jolanta Kaszuba-Zwoińska, Piotr Thor, Tomasz Mach, Małgorzata Zwoińska-Wcisło
BACKGROUND/AIMS: The aim of the study was to analyze the effect of celiac disease(CED) on the upper-gut motility and release of enteral hormones (ghrelin and pancreatic peptide (PP)). MATERIALS AND METHODS: the study included 25 patients diagnosed with CED and 30 healthy controls. Gastric myoelectric activities (EGG) in a fasted and fed state were recorded. The plasma concentrations of ghrelin and PP were determined. R e s u l t s: CED patients presented in a fasted state a decreased percentage of normogastria 54...
2016: Folia Medica Cracoviensia
Katja Weimer, Björn Horing, Eric R Muth, Jenna L Scisco, Sibylle Klosterhalfen, Paul Enck
PURPOSE: The purpose of this study was to examine whether the disclosed probability of receiving an antiemetic affects nausea. METHODS: Forty-eight healthy participants (mean [SD] age, 26.8 [5.4] years; 50% female) were exposed to 5 × 2 minutes of nauseogenic body rotations on 2 days. On day 2, participants were randomized to 3 experimental groups that were given different instructions concerning the probability of receiving an antiemetic remedy (100%, 50%, or 0% probability), whereas all received an inert substance...
December 20, 2016: Clinical Therapeutics
Federico Meduri, Matteo Beretta-Piccoli, Luca Calanni, Valentina Segreto, Giuseppe Giovanetti, Marco Barbero, Corrado Cescon, Giuseppe D'Antona
PURPOSE: The purpose of the present study was to evaluate inter-arm and inter-gender differences in fractal dimension (FD) and conduction velocity (CV) obtained from multichannel surface electromyographic (sEMG) recordings during sustained fatiguing contractions of the biceps brachii. METHODS: A total of 20 recreationally active males (24±6 years) and 18 recreationally active females (22±9 years) performed two isometric contractions at 120 degrees elbow joint angle: (1) at 20% maximal voluntary contraction (MVC) for 90 s, and (2) at 60% MVC until exhaustion the time to perform the task has been measured...
2016: PloS One
N-P Brøchner Nielsen, F Hug, A Guével, V Fohanno, J Lardy, S Dorel
This study was designed to investigate how motor coordination adapts to unilateral fatigue of the quadriceps during a constant-load bilateral pedaling task. We first hypothesized that this local fatigue would not be compensated within the fatigued muscles leading to a decreased knee extension power. Then, we aimed to determine whether this decrease would be compensated by between-joints compensations within the ipsilateral leg and/or an increased contribution of the contralateral leg. Fifteen healthy volunteers were tested during pedaling at 350 W before and after a fatigue protocol consisting of 15 minutes of electromyostimulation on the quadriceps muscle...
December 20, 2016: Scandinavian Journal of Medicine & Science in Sports
Milica Isaković, Minja Belić, Matija Štrbac, Igor Popović, Strahinja Došen, Dario Farina, Thierry Keller
Aim of this study was to investigate the feasibility of electrotactile feedback in closed loop training of force control during the routine grasping task. The feedback was provided using an array electrode and a simple six-level spatial coding, and the experiment was conducted in three amputee subjects. The psychometric tests confirmed that the subjects could perceive and interpret the electrotactile feedback with a high success rate. The subjects performed the routine grasping task comprising 4 blocks of 60 grasping trials...
June 13, 2016: European Journal of Translational Myology
Lars Janshen, Alessandro Santuz, Antonis Ekizos, Adamantios Arampatzis
The neuromuscular control of human movement can be described by a set of muscle synergies factorized from myoelectric signals. There is some evidence that the selection, activation and flexible combination of these basic activation patterns are of a neural origin. We investigated the muscle synergies during incline and level walking to evaluate changes in the modular organization of neuromuscular control related to changes in the mechanical demands.Our results revealed five fundamental (not further factorizable) synergies for both walking conditions but with different frequencies of appearance of the respective synergies during incline compared to level walking...
December 15, 2016: Journal of Experimental Biology
Shintaro Oyama, Shingo Shimoda, Fady S K Alnajjar, Katsuyuki Iwatsuki, Minoru Hoshiyama, Hirotaka Tanaka, Hitoshi Hirata
Background: For mechanically reconstructing human biomechanical function, intuitive proportional control, and robustness to unexpected situations are required. Particularly, creating a functional hand prosthesis is a typical challenge in the reconstruction of lost biomechanical function. Nevertheless, currently available control algorithms are in the development phase. The most advanced algorithms for controlling multifunctional prosthesis are machine learning and pattern recognition of myoelectric signals...
2016: Frontiers in Neurorobotics
Jiao Xue, Ping Qian, Hui Li, Haipo Yang, Xiaoyan Liu, Yuehua Zhang, Zhixian Yang
OBJECTIVE: To study the atonic elements combined or uncombined with epileptic spasms in infantile spasms. METHODS: The demographic data, clinical characteristics, electroencephalogram (EEG), and polyelectromyography (PEMG) features were analyzed in 12 infantile spasm patients with atonic elements. RESULTS: A total of 29 EEGs were recorded. Hypsarrhythmia or hypsarrhythmia variants were identified during interictal EEG. Insular or clustered epileptic spasms occurred in all...
January 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
Andrés Ricardo Pérez-Riera, Luiz Carlos de Abreu, Raimundo Barbosa-Barros, José Grindler, Acácio Fernandes-Cardoso, Adrian Baranchuk
P-wave dispersion (PWD, Pd or Pdis) is a noninvasive electrocardiographic (ECG) marker for atrial remodeling and predictor for atrial fibrillation (AF). PWD is defined as the difference between the widest and the narrowest P-wave duration recorded from the 12 ECG leads. Increased P-wave duration and PWD reflect prolongation of intraatrial and interatrial conduction time with lack of a well-coordinated conduction system within the atrial muscles, with inhomogeneous, asynchronic, pro-inflammatory and anti-inflammatory effect mediated by interleukin-6 (IL-6) in patients with the CG + GG genotype IL-6 -634C/G polymorphism [1] and discontinuous propagation of sinus impulses mainly between the left and right atria, interstitial/extracellular fibroblast activation and collagen deposition with fibrosis (via TGF-β) in atrial tissue, insufficient blood supply, significant not isotropic myoelectric activity, and thin wall thickness and consequent expansion tendency all well-known electrophysiological characteristics in patients with atrial arrhythmias and especially paroxysmal atrial fibrillation (PAF) [2]...
July 2016: Indian Pacing and Electrophysiology Journal
Dongqing Wang, Xu Zhang, Xiaoping Gao, Xiang Chen, Ping Zhou
This study presents wavelet packet feature assessment of neural control information in paretic upper limb muscles of stroke survivors for myoelectric pattern recognition, taking advantage of high-resolution time-frequency representations of surface electromyogram (EMG) signals. On this basis, a novel channel selection method was developed by combining the Fisher's class separability index and the sequential feedforward selection analyses, in order to determine a small number of appropriate EMG channels from original high-density EMG electrode array...
2016: Frontiers in Neurology
Lin Xu, Chiara Rabotti, Massimo Mischi
Decrease in muscle-fiber conduction velocity (MFCV) during sustained contraction has been widely accepted as myoelectric manifestation of muscle fatigue. Several methods have been proposed in the literature for MFCV estimation by analysing surface electromyography (EMG), e.g., cross-correlation (CC) function and maximum likelihood (ML). However, for all the available methods, windowing of the EMG signal and computationally demanding calculations are required, limiting the possibility to continuously monitor muscle fatigue in real time...
November 24, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Maria Florencia Deslivia, Hyun-Joo Lee, Rizki Fajar Zulkarnain, Bin Zhu, Arnold Adikrishna, In-Ho Jeon, Keehoon Kim
BACKGROUND: This study proposes a novel reinnervated split-muscle operation to create additional myoelectric sites as sources of command signals of myoelectric prostheses for enhanced dexterous hand-to-wrist motions. The aim of this study was to investigate the postprocedure electromyographic properties of the muscles as distinct myoelectric sites in a rat model. METHODS: The reinnervated split-muscle group (n = 6) had the gastrocnemius muscle separated along its longitudinal axis and nerves transferred to each new muscle (peroneal nerve to lateral muscle head and tibial to medial one); the non-split-muscle group (n = 6) only had nerve transfers with its muscle intact...
December 2016: Plastic and Reconstructive Surgery
Zhiyuan Lu, Xiang Chen, Xu Zhang, Kay-Yu Tong, Ping Zhou
Robot-assisted training provides an effective approach to neurological injury rehabilitation. To meet the challenge of hand rehabilitation after neurological injuries, this study presents an advanced myoelectric pattern recognition scheme for real-time intention-driven control of a hand exoskeleton. The developed scheme detects and recognizes user's intention of six different hand motions using four channels of surface electromyography (EMG) signals acquired from the forearm and hand muscles, and then drives the exoskeleton to assist the user accomplish the intended motion...
October 6, 2016: International Journal of Neural Systems
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