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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)...
The correlation between Mechanical stimulation of human body and sEMG signals is discussed. Based on a multi-information sampling system, the mechanical stimulation and sEMG signals of human body can be obtained. The results indicate there is a remarkable relationship between the mechanical stimulation and sEMG signals, and may provide theoretical basis and significative information for finding out...
This paper presents a new feature extraction algorithm for the challenging problem of the classification of myoelectric signals for prostheses control. The algorithm employs the orientation between a set of descriptors of muscular activities and a nonlinearly mapped version of them. It incorporates information about the Electromyogram (EMG) signal power spectrum characteristics derived from each analysis...
The Brachialis (BR) is placed under the Biceps Brachii (BB) deep in the upper arm. Therefore, the detection of the corresponding surface Electromyogram (sEMG) is a complex task. The BR is an important elbow flexor, but it is usually not considered in the sEMG based force estimation process. The aim of this study was to attempt to separate the two sEMG activities of the BR and the BB by using a High...
The aim of this study is to validate the time delay estimators recently developed by our group. We test the estimators with the real data in both case isometric isotonic and isometric anisotonic contraction in order to take into account the stationarity and the non-stationarity of the data. The results indicate that these estimators have coherent behaviors with the law of Henneman up to 60% Maximal...
In this study, we analyze physiological information of facial electromyography and respiration using a force display system of a virtual arm wrestling system. We found that facial expressions under transient cessation of respiration during muscle strain are characterized by tension of the corrugator supercilii and zygomaticus major muscles. In addition, facial expressions of laughter, anger, and fear,...
A pilot investigation was conducted on the measurement of muscle performance during voluntary exercise using a novel mechanomyogram muscle contraction sensor quantifying muscle tension — the MC-Sensor (TMG-BMC Ltd. Ljubljana, Slovenia). Surface electromyography (sEMG) and the torque output from an isokinetic dynamometer were used as reference for comparative assessment of the MC-sensor data. Five...
The present work shows a preliminary study conducted using Vibromyography (VMG) sensor and Electromyography (EMG) sensor with the help of Biodex system on evaluating muscle performances. Surface EMG and Biodex torque are set as reference signal to be compared with VMG signal obtained from the experiment. A total of 5 healthy subjects performed isokinetic knee extension exercise at the speed of 90...
In order to study and analyze human hand motions that contain multimodal information, a generalized framework integrating multiple sensors is proposed and consists of modules of sensor integration, signal preprocessing, correlation study of sensory information, and motion identification. Three types of sensors are integrated to simultaneously capture the finger angle trajectories, the hand contact...
This work performs an extensive charterisation of precision targeted throwing in professional and recreational darts. The goal is to identify the contributing factors for lateral drift or throwing inaccuracy in the horizontal plane. A multi technology approach is adopted whereby a custom built body area network of wireless inertial measurement devices monitor tilt, force and timing, an optical 3D...
The aim of this paper is to estimate muscle fatigue by using wavelet analysis method in SEMG signal analysis. A signal acquisition system is designed and forearm muscle fatigue experiments under static and dynamic contractions are performed. The wavelet analysis method is proposed to group the wavelet coefficients of SEMG signal into high frequency-band (100Hz-350Hz) and low frequency-band (13-22Hz)...
To explore the cross-information in multi-modal data, several multivariate data fusion techniques have been proposed. Partial least square (PLS) has great potential for neuroimaging studies. However, when performing group analysis with PLS, the presence of inter-subject variability makes the conventional technique of simply pooling data from different subjects problematic. To circumvent this issue,...
This paper focuses on dynamical role divisions of cooperation interaction between two human subjects in a typical cooperation task, the crank-rotation task. The dynamical role division in which each subject plays a specialized role without conscious understanding is a key issue that brings the efficiency to the performance of the crank-cooperation work. By investigating kinetics and muscle activities,...
The aim of this study was to compare the intervals of time between adjacent zero crossings (ZCI), an alternative frequency-temporal parameter, with the root-mean-square (RMS) value and the median frequency (Fmed) from the surface EMG (sEMG) signal in muscle fatigue analysis. Twenty right-handed volunteers performed isometric contractions of right biceps brachii muscle while sEMG signals were collected...
Semi-automatic segmentation of the heart muscle in 3D echographic images may substantially support clinical diagnosis of heart disease. Especially in children with congenital heart disease, segmentation should be based on the echo features solely since a priori knowledge on the shape of the heart cannot be used. Segmentation of echocardiographic images is challenging because of the low echogenicity...
In recent years, many dangerous tasks are performed by robots. In most contact tasks, however, humans are far superior to their robotic counterparts. To control robot manipulators in contact tasks, the characteristics of human movements should be investigated through biological signals, such as EMG, which reflects the dexterity of human manipulation. In this study, EMG signal is analyzed through direct...
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