2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT) 2015
DOI: 10.1109/iceeict.2015.7307402
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Muscle activity estimation through surface EMG analysis during salat

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Cited by 10 publications
(3 citation statements)
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“…Salat or Islamic prayer activity helps in the rehabilitationprocess in patients with neurological deficits and musculoskeletal impairments as it takes minimum effort and is beneficial for mental and physical health. [26] . It also helps in activation of thepelvic floor muscles [27] Prostration is one of the postures of Islamic prayer.…”
Section: …………………………………………………………………………………………………… Introduction:-mentioning
confidence: 99%
“…Salat or Islamic prayer activity helps in the rehabilitationprocess in patients with neurological deficits and musculoskeletal impairments as it takes minimum effort and is beneficial for mental and physical health. [26] . It also helps in activation of thepelvic floor muscles [27] Prostration is one of the postures of Islamic prayer.…”
Section: …………………………………………………………………………………………………… Introduction:-mentioning
confidence: 99%
“…EMG allows the measurement of the change in the membrane potential which is transmitted along the fiber. Usually, an analysis and detection of EMG signals can be divided into three main parameters i.e., muscle force, muscle geometry (joint angle), and muscle fatigue [2]. The lower-limb motions are very important for the human daily activities, such as sitting down, bending down, walking, ascending and descending stairs.…”
Section: Introductionmentioning
confidence: 99%
“…These power-assist robotic systems are mainly activated based on the user's surface EMG (sEMG) signals which directly reflect the muscle activity levels of the user. Surface electromyography (sEMG) is a non-invasive technique, in which surface electrodes are placed on the skin over a muscle and are mainly used for investigated superficial muscle [2]. The work done estimation from EMG signals are important information for power-assist robotic systems to understand how the user intends to move.…”
Section: Introductionmentioning
confidence: 99%