Results 21 to 30 of about 19,737 (228)
FES Proportional Tuning Based on sEMG [PDF]
, 2019 It is evident that inappropriate functional electrical stimulation (FES) intensity is easy to trigger muscle fatigue and discomfortableness. This study proposes a FES tuning solution based on surface electromyography (sEMG), which is to form the relationship from sEMG to FES pulse width through the force. Six healthy subjects were invited to verify the
Yu Zhou 0013 +3 more
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SEMG APPROACH FOR SPEECH RECOGNITION
International Journal of Advanced Research in Computer Science, 2023 Speech is the most familiar and habitual way of communication used by most of us. Due to speech disabilities, many people find it difficult to properly voice their views and thus are at a disadvantage. The research tackles the issue of lack of speech from a speech impaired user by recognizing it with the use of ML models such as Gaussian Mixture Model -
Siddesh Shisode +6 more
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Development and comparison of dataglove and sEMG signal-based algorithms for the improvement of a hand gestures recognition system. [PDF]
, 2022 openHand gesture recognition is a topic widely discussed in literature, where several techniques are analyzed both in terms of input signal types and algorithms.
FRANCESCHIN, SARAH
core
Biomedical Human Kinetics, 2017 Study aim: Improvement of the upper extremities’ performance is one of the key aims in the rehabilitation process. In order to achieve high effectiveness of this process the amount of functional improvement achieved by a patient during the therapy needs ...
Syczewska Małgorzata +3 more
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Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction
Current Directions in Biomedical Engineering, 2019 This work investigates the performance of eventsynchronous noise cancelling algorithms to separate ECG artifacts from thoracic EMG recordings. In focus are the precise detection of heart beats, the exact time alignment of the QRS segments and the ...
Kahl Lorenz, Hofmann Ulrich G.
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Accurate human motion estimation is crucial for effective and safe human-robot interaction when using robotic devices for rehabilitation or performance enhancement.
Song Zhang +4 more
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Influence of the quality of sleep on the masticatory muscle activity - a pilot study
Journal of Education, Health and Sport, 2018 Introduction: Modern literature indicates an uptrend in the occurrence of sleep disorders. Currently, about 30-40% of adults are suffering from sleep disorders, which makes them one of the most common health problems of the population.
Grzegorz Zieliński +6 more
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A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back
Sensors, 2023 Surface electromyography (sEMG) is generally used to measure muscles’ activity. The sEMG signal can be affected using several factors and vary among individuals and even measurement trials. Thus, to consistently evaluate data among individuals and trials,
Xun Wang +4 more
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Frontiers in Physiology, 2022 In healthy persons, there is an excellent relation between the timing of the (two) surface electromyography (sEMG) thresholds and the (two) ventilatory thresholds during exercise. The primary aim of this study was to determine the relative timing of both
Nicoline B. M. Voet +7 more
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, 2022 The left side is the synchronous three channels raw sEMG signal, and the right side is the corresponding denoised sEMG signal using the proposed NMFSEMD.
Zhiqiang Zhang (1522858) +7 more
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