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Automated motor unit (MU) decomposition algorithms of surface electromyogram (EMG) have been developed recently. However, a routine estimate of the decomposition accuracy is still lacking. The objective of this preliminary study was to examine the statistics of the inter-spike intervals (ISIs) of the identified MUs as a measure of the decomposition accuracy, such that the ISI analysis can be used...
15 healthy men (26.6 ± 4.6 years old, weight of 70.7 ± 8.6 kg, and height of 1.750 ± 0.072 m) performed three 30-seconds isometric contractions at 60% MVC, with two 10-seconds resting intervals between them. The goal was to study the effect of the resting intervals on the variables that are most commonly used to analyze surface electromyographic (S-EMG) signals (conduction velocity [CV], root mean...
Muscle fatigue is a common muscle condition which experiences in our daily activity. Muscle fatigue occur when the muscle fail to provide expected force. Electromyography (EMG) has commonly been used to detect muscle fatigue. Effort has been made to improve the current detection using different Myography. Mechanomyogram (MMG) and acoustic myogram (AMG) were used to record mechanical activity of the...
In this paper, through the study of the characteristic rule of palm press massage experts' dynamics information such as intensity of pressure, frequency, action area and etc. Based on the characteristic rule the different massage manipulation can be classified into several classes. In the meantime, the forearm surface EMG signal (sEMG) of the experts is collected. Then by analyzing the massager's...
Many studies have estimated joint force using surface electromyography (SEMG), however, the time-variant characteristic of SEMG is not considered. The change of SEMG amplitude is one of manifestations of muscle fatigue. This study proposes a force estimation method using SEMG in fatiguing contraction. The SEMG amplitude is used to determine the signal states by k-means clustering method. According...
Most of the currently available prosthetic hands do not have a proper sensation of touching and slipping. Thus it is not easy for arm amputees to grasp objects properly only with an assistance of visual feedback. In this pilot work, a sensor based on thin-film piezoelectret was used to detect the possible tactile and slip information of a prosthetic hand. The piezoelectret sensor is flexible and is...
Regenerative peripheral nerve interfaces (RPNIs) are for signal transfer between peripheral nerves inside the body to controllers for motorized prosthetics external to the body. Within the residual limb of an amputee, surgical construction of a RPNI connects a remaining peripheral nerve and spare muscle. Nerve signals become concentrated within the RPNI. Currently metal electrodes implanted on the...
The goal of this paper is to investigate the temporal-spectral decomposition content during a maximal electrically evoked contraction (MEEC) in two spinal cord injured participants using triaxial mechanomyography (MMG). Two male spinal cord injured volunteers performed the tests both injured at T7 neurologic level. The triaxial MMG signal of rectus femoris muscle was processed with Cauchy wavelet...
Robotics for rehabilitation and human amplification is imminent to become part of our daily life. The juxtaposition of human control capability and machine mechanical power offers a promising solution for human assistance and force enhancement. This paper presents an alternative and simple exoskeleton Human-Machine Interface (HMI) for human strength and endurance amplification using a modified version...
In the last 30 years very innovative prosthetic hands have been developed. Nevertheless, most of prosthetic hands are basically simple grippers with one or two degrees of freedom (DOFs) providing low functionality. Efforts have been made to improve the performance of devices so that they are as similar as possible with the human hand by exploring recent progresses in mechatronics technology. A major...
Currently, a considerable group of adult Duchenne Muscular Dystrophy patients lives with severe physical impairments and strong dependency on care. Active arm supports can improve their quality of life by augmenting their arm's residual motor capabilities. This paper presents the design and control of an experimental active elbow support specially made to investigate different control interfaces with...
Although electromyography (EMG) signals and interaction force have been widely used in patient cooperative or interactive training, the conventional EMG based control usually breaks the process into a patient-driven phase and a separate passive phase, which is not desirable. In this research, an active interaction controller based on motion recognition and adaptive impedance control is proposed and...
For prosthetic hand manipulation, the surface Electromyography(sEMG) has been widely applied. Researchers usually focus on the recognition of hand grasps or gestures, but ignore the hand force, which is equally important for robotic hand control. Therefore, this paper concentrates on the methods of finger forces estimation based on multichannel sEMG signal. A custom-made sEMG sleeve system omitting...
Neural-musculoskeletal models play a significant role in the interactions between human and robotic devices. Surface Electromyography (sEMG) can effectively measure the electric signal from human muscle and provide useful information for improving the accuracy of human-machine interfaces. This paper summarizes three main sEMG-based research methods at present, establishes the flowchart for sEMG-based...
To improve the efficiency of the lower limbs rehabilitation robot in the rehabilitation training for stroke patients, a human-computer interaction model based on sEMG signals is presented. First, joint torque is got by decoding the sEMG signals according to Hill model, and the model's parameters are optimized using simulated annealing algorithm. Second, an assist coefficient is defined, and the lower...
The human hand is one of the most complex structures of the human body, having the fingers that possess one of the highest numbers of nerve endings in the body. The hand, with its nerve endings has the capacity for the richest tactile feedback with excellent positioning capabilities. The existing hand control methods used in controlling smart prostheses have many drawbacks and need improvements. This...
Day-long continuous monitoring requires stable sensors that can minimise the effects of drift and maintain high accuracy and precision over time. We have recently shown that our inertial motion tracking system can capture stable kinematic data, calibrated against ground-truth over a long period of time. However, for many clinical and daily life activities, it is also essential to monitor the muscle-activity...
In this paper, we present a control method of robotic system using electromyography (EMG) signals collected by surface EMG electrodes. The EMG signals are analyzed using a neuromusculoskeletal (NMS) model that represents at the same time the muscle and the skeleton of the body. It has the advantage of adding external forces to the model without changing the initial parameters which is particularly...
In this work, isometric contraction of triceps brachii muscles are analyzed using surface electromyography (sEMG) signals and multifractals. The signals are recorded from 20 healthy adult volunteers at three different angles of elbow flexions namely 30º, 60º and 90º using standard experimental protocol. The recorded signals are preprocessed and subjected to Multifractal Detrended Fluctuation Analysis...
Functional electrical stimulation (FES) of the common peroneal nerve (CPN), to correct gait, has been shown to be a useful means for the restoration of functional movement in the lower extremities of hemiplegic individuals. Motor function over a twenty-nine year period of selective stimulation of the CPN with an implantable stimulator to correct drop-foot in a 56 year old patient with left-sided hemiplegia,...
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