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Wensheng Chen, Yinxi Niu, Zhenhua Gan, Baoping Xiong and Shan Huang
Enhancing information representation in electromyography (EMG) signals is pivotal for interpreting human movement intentions. Traditional methods often concentrate on specific aspects of EMG signals, such as the time or frequency domains, while overlooki...
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Nelson Cárdenas-Bolaño, Aura Polo and Carlos Robles-Algarín
This paper presents the implementation of an intelligent real-time single-channel electromyography (EMG) signal classifier based on open-source hardware. The article shows the experimental design, analysis, and implementation of a solution to identify fo...
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Lara Pereira, Joana Grave, Janina Noll, Birgit Derntl, Sandra C. Soares, Susana Brás and Raquel Sebastião
Abnormal sensory perception is among the earliest symptoms of autism spectrum disorders (ASD). Despite mixed findings, olfactory perception seems to be altered in ASD. There is also evidence that automatic responses to odours can serve as biomarkers of A...
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Krzysztof Strzecha, Marek Krakós, Boguslaw Wiecek, Piotr Chudzik, Karol Tatar, Grzegorz Lisowski, Volodymyr Mosorov and Dominik Sankowski
This work deals with electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. Because the correct muscle activity measurement of strongly noised EMG signals is the major hurdle in medical applications, a raw measured E...
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Yassine Bouteraa, Ismail Ben Abdallah, Atef Ibrahim and Tariq Ahamed Ahanger
The last few years have seen significant advances in neuromotor rehabilitation technologies, such as robotics and virtual reality. Rehabilitation robotics primarily focuses on devices, control strategies, scenarios and protocols aimed at recovering senso...
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Yan Zeng, Jiantao Yang and Yuehong Yin
As one of the most direct indicators of the transparency between a human and an exoskeleton, interactive force has rarely been fused with electromyography (EMG) in the control of human-exoskeleton systems, the performances of which are largely determined...
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Osama Dorgham, Ibrahim Al-Mherat, Jawdat Al-Shaer, Sulieman Bani-Ahmad and Stephen Laycock
Bioelectric signals are used to measure electrical potential, but there are different types of signals. The electromyography (EMG) is a type of bioelectric signal used to monitor and recode the electrical activity of the muscles. The current work aims to...
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Farika Putri,Wahyu Caesarendra,Elta Diah Pamanasari,Mochammad Ariyanto,Joga D Setiawan
Pág. 87 - 98
Parkinson disease (PD) detection using pattern recognition method has been presented in literatures. This paper present multi-class PD detection utilizing voice and electromyography (EMG) features of Indonesian subjects. The multi-class classification co...
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