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An automatic Uni- or Multi-modal Intelligent Seizure Acquisition (UISA/MISA) system is highly applicable for onset detection of epileptic seizures based on motion data. The modalities used are surface electromyography (sEMG), acceleration (ACC) and angular velocity (ANG). The new proposed automatic algorithm on motion data is extracting features as “log-sum” measures of discrete wavelet components...
A study was conducted to investigate the effect of light assembly task on upper limb muscles (biceps brachii and upper trapezius) and brain activities. The task was conducted in two levels of time pressure (No time-stress and time-stress levels). Each task was done for one hour experiment. Surface electromyography (SEMG) measured upper limb muscle activities from six subjects. The results indicated...
The objective of this study was to evaluate the usefulness of AM-FM features extracted from surface electromyographic (SEMG) signals for the assessment of neuromuscular disorders at different force levels. SEMG signals were recorded from a total of 40 subjects, 20 normal and 20 patients, at 10%, 30%, 50%, 70% and 100% of maximum voluntary contraction (MVC), from the biceps brachii muscle. From the...
While society is partly responsible for a feeling of isolation among children with learning disabilities, this isolation is exacerbated by the child's inability to adjust psychosocially. The authors hypothesize that social inclusion will be a natural outcome if technology can restore or assist the ability of basic self-expression and self-growth. One of the most promising methods of expression for...
The paper aims to identify speech using the facial muscle activity without the audio signals. The paper presents an effective technique that measures the relative muscle activity of the articulatory muscles. Five English vowels were used as recognition variables. This paper reports using moving root mean square (RMS) of surface electromyogram (SEMG) of four facial muscles to segment the signal and...
Identification of muscle fatigue using surface electromyogram (SEMG) has always been both desirable and difficult for the engineering and medical community. Changes in SEMG are already established by authors when fatigue occurs as a result of short duration, supramaximal dynamic contraction. But most of the contractions that we have during a days work are not supramaximal and short duration, they...
The paper aims to identify speech using the facial muscle activity without the audio signals. The paper presents an effective technique that measures the relative muscle activity of the articulatory muscles. Five English vowels were used as recognition variables. This paper reports using moving root mean square (RMS) of surface electromyogram (SEMG) of four facial muscles to segment the signal and...
Identification of muscle fatigue using surface electromyogram (SEMG) has always been both desirable and difficult for the engineering and medical community. Changes in SEMG are already established by authors when fatigue occurs as a result of short duration, supramaximal dynamic contraction. But most of the contractions that we have during a days work are not supramaximal and short duration, they...
Little is known about the mechanism that improves the capabilities of athletes by high, intensity interval training (HIT). This study was conducted to determine the neurophysiological changes due to HIT. Changes in surface electromyography (SEMG) in well-trained endurance cyclists due to the training were identified. Seven subjects (maximal oxygen uptake [VO2max] 64.6 plusmn 4.8 ml.kg-1.min-1, mean...
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