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In this paper, we propose a novel fatigue assessment technique using Vertical Ground Reaction Force (VGRF) signals acquired during ultra-marathon running. To achieve that goal, we performed frequency-domain on singlechannel VGRF signals on different time intervals during ultra-marathon running and tracked the features' variation. Our method was applied on single-channel VGRF signals recorded via instrumented...
The subject studied the relationship between tissue dynamics caused by Quadriceps muscles movement in the knee extension — flexion state and the signal measured from the EMG sensor. Establishment of force and momentum force equations generated by the muscle groups, EMG momentum and voltage equations. Using the Arduino Uno controller, read the signal from the EMG sensor, and save it to an SD memory...
Humans modify their movement characteristics according to the requirement of the movement accuracy. The relations between the required accuracy and muscle activities were previously determined by varying the size of the targets to be reached in isotonic contraction tasks. However, in isometric contraction tasks, such relations have not been studied yet. In this study, we examined whether there was...
Myoelectric control with surface EMG signal has achieved great success in clinics, but only limited to the control of 2-Degrees-of-freedom prosthesis. With the appearance of multiple-channel and high-density EMG system and the advances of pattern recognition technology, it becomes possible to control a multi-degree smart prosthesis using EMG signals. However, it requires high performance EMG systems...
It is a challenge to precisely predict hand grasps based on EMG signals given practical scenarios, due to its inherent nature. This paper proposes a solution to tackle the challenge with a force-driven granular model (FDGM). The problem of n-class hand grasp classification has been represented as force-based granular modelling, in which a number of granules are constructed for each class relying on...
The purpose of this study was to investigate changes of the maximal reaching distance (MRD) and the amplitude of electromyography (EMG) in lower limbs during reaching forward (RF) test with outstretched arm in the elderly. Ten healthy elderly subjects and ten healthy young subjects participated in this study. A position sensor was used to record the position coordinates of fingertip, and the EMG signals...
The standing balance undergoes declines with aging that contributes the fall of the elderly. But the age-related balance control during quiet standing upon a slope has not been fully understood. This study aimed to investigate the effects of aging on muscle activation during quiet standing on a slope with different angles. Sixteen healthy young subjects and 16 healthy elderly subjects participated...
We propose herein a method to predict the sit-to-stand movement before a user leaves their seat. The proposed method is evaluated by using it for sit-to-stand and noisy movements, and the sit-to-stand movement is predicted with an average accuracy of 99.5%. Furthermore, based on this proposed method, we develop a prototype system to assist the sit-to-stand movement. To verify the effectiveness of...
The amount of stroke patients has been raising year by year. The traditional treatment supplies the patients with some drugs combining with physical rehabilitation methods. However, in the course of rehabilitation therapy, the recovery of patients often is limited by the level and experience of the therapists. Furthermore, the rehabilitation therapy is uasually lack of scientific and accurate assessments...
Highly impaired stroke patients at early stages of recovery are unable to generate enough muscle force to lift the weight of their own arm. Accordingly, task-related training is strongly limited or even impossible. However, as soon as partial or full arm weight support is provided, patients are enabled to perform arm rehabilitation training again throughout an increased workspace. In the literature,...
We evaluated the electromechanical delay (EMD) for the tibialis anterior (TA) muscle during the performance of time-varying ankle dorsiflexions. Subjects were asked to track a sinusoidal trajectory, for a range of amplitudes and frequencies. Motor unit (MU) action potential trains were identified from surface electromyography (EMG) decomposition and summed to generate the cumulative spike train (CST)...
Stroke and other neurological pathologies are an increasing cause of hand impairment, involving expensive rehabilitative therapies. In this scenario, robotics applied to hand rehabilitation and assistance appears particularly promising in order to lower therapy costs and boost its efficacy. This work shows a recently conceived hand exoskeleton, from the design and realization to its preliminary evaluation...
Muscle Synergy method has been proposed in the literature to provide a lower dimensional representation of motor commands from the central nervous system (CNS). Studies on post-stroke patients highlighted how features such as the minimum number of motor synergies accounting for most of the data variance correlate with impairments and motor function. In this study, we target healthy subjects to establish...
In this work, a surface skin electromyography(sEMG)-based control solution for elbow wearable assistive devices during load lifting tasks is presented. The goal of the controller consists in limiting the user's muscle activity during the task execution, in such a way that the assistive device can partially compensate the load-related biceps muscle effort. Since sEMG-driven control strategies based...
One challenge of robotic rehabilitation interventions is devising ways to encourage and maintain high levels of subject involvement over long duration therapy sessions. Assist-as-needed controllers have been proposed which modulate robot intervention in movements based on measurements of subject involvement. This paper presents a minimal assist-as-needed controller, which modulates allowable error...
This work aims at estimating the musculoskeletal forces acting in the human lower extremity during locomotion on rough terrains. We employ computational models of the human neuro-musculoskeletal system that are informed by multi-modal movement data including foot-ground reaction forces, 3D marker trajectories and lower extremity electromyograms (EMG). Data were recorded from one healthy subject locomoting...
EMG signals are often used to control prostheses or assistive devices, but have been rarely used in rehabilitation. We propose a novel approach to personalised rehabilitation, based on EMG-driven force field adaptation. As a step toward this direction, here we show how EMG activity and movement data during a robot-assisted motor task can be used to estimate muscle geometry. We compare three different...
This paper presents a novel tongue-operated joystick device for severely disabled persons. The human tongue can generate varied movements and has superior tactile sensations. The utilization of tactile sensation enables humans to interactively communicate with life support equipment, such as powered wheel chair and robotic manipulators and to control them skillfully and safely. In this study, the...
This work reports on preliminary results about on hand movement recognition with Near InfraRed Spectroscopy (NIRS) and surface ElectroMyoGraphy (sEMG). Either basing on physical contact (touchscreens, data-gloves, etc.), vision techniques (Microsoft Kinect, Sony PlayStation Move, etc.), or other modalities, hand movement recognition is a pervasive function in today environment and it is at the base...
Spasticity is a common impairment following an upper motor neuron lesion in conditions such as stroke and brain injury. A clinical issue is how to best quantify and measure spasticity. Recently, research has been performed to develop new methods of spasticity quantification using various systems. This paper follows up on previous work taking a closer look at the role of transversal forces obtained...
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