An algorithmic framework is proposed to process acceleration and surface electromyographic (SEMG) signals for gesture recognition. It includes a novel segmentation scheme, score-based sensor fusion two new features. A Bayes linear classifier an improved dynamic time-warping algorithm are utilized in the framework. In addition, prototype system, including wearable sensing device (embedded with three-axis accelerometer four SEMG sensors) application program mobile phone, developed realize...

Walking dysfunction occurs at a very high prevalence in stroke survivors. Human walking is phenomenon often taken for granted, but it mediated by complicated neural control mechanisms. The automatic process includes the brainstem descending pathways (RST and VST) intraspinal locomotor network. It known that leg muscles are organized into modules to serve subtasks body support, posture locomotion. Major kinematic mechanisms recognized minimize center of gravity (COG) displacement. Stroke...

This study presents a progressive FastICA peel-off (PFP) framework for high-density surface electromyogram (EMG) decomposition. The novel is based on shift-invariant model describing EMG. decomposition process can be viewed as progressively expanding the set of motor unit spike trains, which primarily FastICA. To overcome local convergence FastICA, strategy, i.e., removal estimated action potential trains from previous step, used to mitigate effects already identified units, so more units...

An analysis of the motor control information content made available with a neural-machine interface (NMI) in four subjects is presented this study. We have developed novel NMI-called targeted muscle reinnervation (TMR)-to improve function artificial arms for amputees. TMR involves transferring residual amputated nerves to nonfunctional muscles The reinnervated act as biological amplifiers commands and surface electromyogram (EMG) can be used enhance robotic arm. Although initial clinical...

Targeted muscle reinnervation (TMR) is a novel neural machine interface for improved myoelectric prosthesis control. Previous high-density (HD) surface electromyography (EMG) studies have indicated that tremendous control information can be extracted from the reinnervated muscles by EMG pattern recognition (PR). However, using large number of electrodes hinders clinical application TMR technique. This study investigated reduced and placement required to extract sufficient accurate...

Abstract Background Electromyography (EMG) pattern-recognition based control strategies for multifunctional myoelectric prosthesis systems have been studied commonly in a controlled laboratory setting. Before these are clinically viable, it will be necessary to assess the effect of some disparities between ideal setting and practical use on performance. One important obstacle is impact arm position variation that causes changes EMG pattern when performing identical motions different...

Cortical and subcortical plastic reorganization occurs in the course of motor recovery after stroke. It is largely accepted that plasticity ipsilesional cortex primarily contributes to function, while contributions contralesional are not completely understood. As a result damages its descending pathways subsequent unmasking inhibition, there evidence upregulation reticulospinal tract (RST) excitability side. Both animal studies human with stroke survivors suggest support role RST...

Objective: Myoelectric pattern recognition has been successfully applied as a human-machine interface to control robotic devices such prostheses and exoskeletons, significantly improving the dexterity of myoelectric control. This study investigates feasibility applying for controlling hand in stroke patients. Methods: six motion patterns was performed using forearm electromyogram signals paretic side eight subjects. Both random cross validation (RCV) chronological handout (CHV) were assess...

This study presents a novel myoelectric pattern recognition strategy towards restoration of hand function after incomplete cervical spinal cord Injury (SCI). High density surface electromyogram (EMG) signals comprised 57 channels were recorded from the forearm nine subjects with SCI while they tried to perform six different grasp patterns. A series algorithms EMG feature sets and classifiers implemented identify intended tasks each subject. average overall accuracies (>; 97%) achieved in...

Recent advances in high-density surface electromyogram (EMG) decomposition have made it a feasible task to discriminate single motor unit activity from EMG interference patterns, thus providing noninvasive approach for examination of control properties. In the current study, we applied recording and techniques assess firing behavior alterations poststroke. Surface signals were collected using 64-channel 2-D electrode array paretic contralateral first dorsal interosseous (FDI) muscles nine...

The purpose of our study was to examine relations among spasticity, weakness, force variability, and sustained spontaneous motor unit discharges in spastic-paretic biceps brachii muscles chronic stroke.Ten stroke subjects produced submaximal isometric elbow flexion on impaired non-impaired sides. Intramuscular EMG (iEMG) recorded from triceps muscles.We observed resting iEMG. Spontaneous increased after voluntary activation only the side. side had greater matching errors fluctuations force....

Robot-assisted training provides an effective approach to neurological injury rehabilitation. To meet the challenge of hand rehabilitation after injuries, this study presents advanced myoelectric pattern recognition scheme for real-time intention-driven control a exoskeleton. The developed detects and recognizes user’s intention six different motions using four channels surface electromyography (EMG) signals acquired from forearm muscles, then drives exoskeleton assist user accomplish...

The dependence of the form EMG-force relation on key motoneuron and muscle properties was explored using a simulation approach. Surface EMG signals isometric forces were simulated existing pool, force, surface models, based primarily reported first dorsal interosseous (FDI) in humans. Our results indicate that between electrical mechanical individual motor unit level plays dominant role determining overall amplitude-force muscle, while underlying firing rate strategy appears to be less...

The electrocardiogram (ECG) artifact is a major noise source contaminating the electromyogram (EMG) of torso muscles. This study investigates removal ECG artifacts in real time for myoelectric prosthesis control, clinical application that demands speed and efficiency. Three methods with simple fast implementation were investigated. Removal by digital high-pass filtering was implemented. effects cutoff frequency filter order on resulting EMG signal quantified. An alternative adaptive...

This study assessed changes in electrical impedance myography (EIM) at different levels of isometric muscle contraction as well during exhaustive exercise 60% maximum voluntary (MVC) until task failure. The EIM was performed on the biceps brachii 19 healthy subjects. results showed that there a significant difference between resistance (R) measured and when completely relaxed. Post hoc analysis shows increased higher contractions (both MVC MVC), however, were no reactance (X) contractions....

This study presents automatic decomposition of high density surface electromyogram (EMG) signals through a progressive FastICA peel-off (PFP) framework. By incorporating FastICA, constrained and strategy, the PFP can progressively expand set motor unit spike trains contributing to EMG signal. A series signal processing techniques were applied integrated in this automatically implement two tasks that often require human operator interaction during application framework, including extraction...

The phenomenon of exaggerated motor overflow is well documented in stroke survivors with spasticity. However, the mechanism underlying abnormal remains unclear. In this study, we aimed to investigate possible mechanisms behind and its relations post-stroke 11 patients (63.6 ± 6.4 yrs; 4 women) healthy subjects (31.18 6.18 2 were recruited. All them asked perform unilateral isometric elbow flexion at submaximal levels (10, 30, 60% maximum voluntary contraction). Electromyogram (EMG) was...

Botulinum toxin treatment may improve myoelectric pattern recognition in robot-assisted stroke rehabilitation

Solar evaporation has attracted great interest in water collection, gaining considerable attention recently. While many efforts have been made to enhance solar thermal conversion performance from materials design aspects, little given the fundamental gradient concept, which significantly affects local heating during evaporation. In this work, polymer sponge evaporator was designed control by adding copper–carbon core–shell (Cu@C) nanoparticles with similar absorptance understand effect of or...