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Myoelectric control is using electromyography (EMG) signal as a source of control, with this technique, we can control any computer based system such as robots, devices or even virtual objects. The tendon gliding exercise is one of the most common hand's rehabilitation exercises. In this paper, we present a patterns recognition based myoelectric control system (MCS) for the automatic assistance in...
Previous experimental studies on rabbits using electrocorticograms (ECoGs) over the cortical surface indicate spatio-temporal dynamics in the form of amplitude modulation (AM) patterns, which intermittently collapse at theta rates and give rise to rapidly propagating phase modulated (PM) patterns. The observed dynamics have been shown to be of cognitive relevance carrying useful information on the...
In this paper we investigate the effectiveness of the interaction using eye tracking and electromyography. Smart glasses requires reliable interfaces for controlling the graphic content displayed directly in front of the user's eye. Presented research is related with the eGlasses project, which is focused on the development of an open platform in the form of multisensory electronic glasses and related...
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...
At present there are various measuring devices or instruments that acquire the electrical activity of the heart (ECGs), but make a proper measurement, models the signs are printed directly on sheets of graph paper, unable to save the information for later analysis. In this work we make the development of a bioelectric signal acquisition, in this case focused on the signals emitted by the heart to...
This paper proposes a simple and useful architecture for a touch free system for communication for patients suffering from Amyotrophic Lateral Sclerosis (ALS) making use of the facial feature detection by statistical modeling to obtain the eye brow raise by adopting the Active Shape Modeling (ASM). The ASM feature points are programmed such that they generate a system interrupt at every eye brow raise...
As the characteristics of SEMG are weak and vulnerable to external noise, it must to establish the appropriate acquisition and amplification system. INA128 chip is used to be as the core IC of the SEMG amplifier. The IC UAF42 is used to be the notch filter to keep out of frequency of 50 Hz. Multisim2001 is used to simulate and test the SEMG amplifier is feasible. The amplifier can be used to help...
Muscles generate electrical pulses during contraction. Device used to detect and record muscle electric pulses or signals is the electromyograph or EMG. EMG signals can be used in many applications, whether it has been recorded or displayed/analyzed in real time. Electromyographs (EMG) are rarely available in Indonesia. One of the causes of this rarity might be the high price of the EMG. This condition...
This paper will present an algorithm for reducing functional electrical stimulation (FES) artifact in surface electromyography (sEMG) reading, implemented iteratively in a real time data acquisition system. The intended application is real time attenuation of pathological tremor in upper limb. The data acquisition card receives inputs from sEMG and accelerometer. The processed information is fed into...
In the world of upper limb prostheses, few companies propose different kinds of hand, wrist and elbow prostheses but their control is often difficult to understand by the patients. We have decided to develop new myoelectric prosthetic arm (elbow, wrist and hand) by axing our development on the use of new technologies and user centered design methodology. In this paper, we are explaining the different...
The digestive system is the one of the important system in the human body, which plays major role directly or indirectly for the function of human body. Most of the people around the world have the digestive system disorders due to improper digestion of food due to inefficient performance of stomach activity. The main objective of this paper is to propose a novel method of finding the digestive system...
The performance of speech recognition systems is commonly degraded by either speech-related disabilities or by real-world factors such as the environmentpsilas noise level and reverberation. In this work, we propose a subvocal speech recognition system based on EMG signal for subvocal acquisition, Independent Component Analysis (ICA) for feature extraction and Neural Networks for classification. We...
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