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Nervous system is one of the most complex networks known to mankind. An attempt in understanding and analyzing the functionalities of the nervous system would provide solutions to various problem pertaining in fields like medicine, robotics, ergonomics, bio-mechanics, medical research etc. Basic activities like rapid eye movements (Saccades), hand movements etc. are to be explored to understand the...
This article presents the design of movement sequences for arm rehabilitation of stroke patient. The objective of this research is to develop the best movement sequences suitable for arm rehabilitation of hemiparesis sufferers based on the features analyzed that represent muscle activity. 8 healthy subjects including both male and female performed four arm movement sequences task consist of arm lifting...
The precise reconstruction of continuous hand movements is a complex problem that remains unsolved to a large extent. In particular, this problem needs to be addressed to build reliable arm prosthesis for trans-humeral amputees. Current attempts using noninvasive techniques either had specifications that made them inapplicable to the real world or had low correlation values. In this study we use simultaneous...
Stress is a common part of daily life which most people struggle in different occasions. However, having stress for a long time, or a high level of stress will jeopardize our safety, and will disrupt our normal life. Consequently, performance and management ability in critical situations degrade significantly. Therefore, it is necessary to have information in stress cognition and design systems with...
Muscle fatigue is very common muscle condition has been experienced. Different types of myograms have been used to assess muscle fatigue and there are Electromyogram, Mechanomyogram and Acoustic myogram. Each myogram has its own advantages in assessing muscle fatigue. Therefore, suitable features are needed to assess muscle fatigue. This review discusses the on statistical analysis and classification...
The aim of this work is to assess the muscle fatigue condition using multimodal system. Muscle fatigue is a common muscle condition which experiences in our daily activity. There were 20 subjects participated in this study. Electromyogram (EMG) (shows the electrical activity of the muscle), Mechanomyogram (MMG) (shows a mechanical activity of the muscle) and Acoustic myogram (AMG) (is audible produced...
Myoelectric control has a key role in human-machine interface applications such as orthosis control and teleoperation. Myoelectric signals are bio signals that are detectable from surface of the skin, and contain useful information about user's moving intention. This paper presents a methodology to estimate elbow joint angle from muscle's data using neural network (NN). Proposed methodology can be...
We conducted an experiment in our fixed-base driving simulator to determine whether participants experienced arm muscle fatigue during three, one-hour driving sessions. Participants experienced different rotational vibrations on the steering wheel, each representative of a different kind of steering system. Our main hypothesis was that a 'Conventional' steering system would result in more muscle fatigue...
Laughter is a very interesting non-verbal human vocalization. It is classified as a semi voluntary behavior despite being a direct form of social interaction, and can be elicited by a variety of very different stimuli, both cognitive and physical. Automatic laughter detection, analysis and classification will boost progress in affective computing, leading to the development of more natural human-machine...
Multichannel electromyography (EMG) signals have been used as human-machine interface (HMI) for the control of pattern-recognition based prosthetic system in recent years. This paper is a feasibility analysis of using recently proposed NeuCube spiking neural network (SNN) architecture for a 6-class recognition problem of hand motions. NeuCube is an integrated environment, which uses SNN reservoir...
This paper describes the results of a month-long case study of a stroke patient training with the anklebot conducted at the MIT Newman Laboratory for Biomechanics. The study provides promising evidence for reducing paretic impairment using the anklebot in stroke patients. We found a statistically significant increase in the paretic soleus and tibialis anterior EMG levels following anklebot training.
This paper presents further developments, characterization and initial evaluation of a recently developed assistive soft robotic glove for individuals with hand pathologies. The glove technology utilizes a combination of elastomeric and inextensible materials to create soft actuators that conform to the user's hand and can generate sufficient hand closing force to assist with activities of daily living...
In this paper, we have developed a teleoperation method with novel features, such that the human operator could manipulate the telerobot using both physical and physiological means. Physiological studies have shown that our central neural system (CNS) is able to adapt muscle force, stiffness and damping to perform different tasks under various environments. However, there has been very little research...
The purpose for researchers in medical electronics field, in signal processing and information field is to provide powerful and low-cost systems to help doctors to make his specific spots. In this paper, a biomedical monitoring system is proposed based on LabVIEW FPGA. This monitoring system has the advantage to acquire and analyze several physiological signals. The Electrocardiogram (ECG), Electroencephalogram...
Any movement is generated by synergistic actions of muscle groups. The analytical description of how muscles are combined into synergies to produce their coordination actions remains to be established. Here, we have introduced the wavelet-based analysis to identify common information among major leg muscles during a locomotor tasks with and without asymmetric adaptation.
The purpose of this study was to explore the use of Independent Component Analysis (ICA) on surface Electromyography (EMG) data to distinguish between individual muscle activations due to its capabilities for signal separation. EMG data was gathered on seven participants using the Delsys Trigno Wireless EMG system. Participants performed specific movements which targeted the calves muscle group of...
In this paper, an architecture that allows the synchronized recording of cerebral, muscular and biomechanical data during lower limb activities has been designed. The synchronization issue has been addressed. The goal is to analyze the relationship between the different signals, first during simple lower limbs movements, then extending the analysis to gait. Five incomplete spinal cord injury patients...
One out of three subjects older than 65 years falls. Despite extensive research, existing assessment tools for fall risk have been insufficient for predicting falls since the phenomenology is complex and there is no equipment on the market that allows everyday life monitoring. In this paper we present a novel approach for fall-risk on-line assessment based on: i) clinical condition of the subject,...
Prosthetic hand control based on the acquisition and processing of surface electromyography signals (sEMG) is a well-established method that makes use of the electric potentials evoked by the physiological contraction processes of one or more muscles. Furthermore intelligent mobile medical devices are on the brink of introducing safe and highly sophisticated systems to help a broad patient community...
Little knowledge is available about neural dynamics during natural motor behavior and its perturbation in aging and neurological diseases. In the present study, we aim to evaluate electroencephalography-electromyography (EEG-EMG) co-registration features of rest and walking in basal condition and under cognitive tasks in normal subjects to characterize a “normal gait” and to define the possible paradigm...
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