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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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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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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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Alessandro Scano, Rebecca Re, Alessandro Tomba, Oriana Amata, Ileana Pirovano, Cristina Brambilla, Davide Contini, Lorenzo Spinelli, Caterina Amendola, Antonello Valerio Caserta, Rinaldo Cubeddu, Lorenzo Panella and Alessandro Torricelli
Measuring muscle fatigue and resistance to fatigue is a topical theme in many clinical research studies. Multi-domain approaches, including electromyography (EMG), are employed to measure fatigue in rehabilitation contexts. In particular, spectral featur...
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Abraham López-Vivancos, Noelia González-Gálvez, Francisco Javier Orquín-Castrillón, Rodrigo Gomes de Souza Vale and Pablo Jorge Marcos-Pardo
Bodybuilding training professionals and users who use bench press (BP) should be aware of the implication in choosing another exercise, either to improve muscle activation or to maintain activation levels while seeking another parallel objective. Dependi...
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Jacqueline D. Bailey and Karen L. Blackmore
Despite the variety of applications that use avatars (virtual humans), how end-users perceive avatars are not fully understood, and accurately measuring these perceptions remains a challenge. To measure end-user responses more accurately to avatars, this...
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Muhammad Tufail, HaeBin Lee, YangGyu Moon, Hwang Kim and KwanMyung Kim
The rehabilitation practices encounter multifaceted problems inherent in the current context of the elderly with chronic low back pain (LBP). We addressed a particular multifaceted problem in the current context using an interdisciplinary co-design resea...
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Nidal Farhat, Pau Zamora, David Reichert, Vicente Mata, Alvaro Page and Angel Valera
We present and validate a computationally efficient lower limb musculoskeletal model for the control of a rehabilitation robot. It is a parametric model that allows the customization of joint kinematics, and it is able to operate in real time. Methods: S...
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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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Marco E. Benalcázar, Ángel Leonardo Valdivieso Caraguay and Lorena Isabel Barona López
Hand gesture recognition systems have several applications including medicine and engineering. A gesture recognition system should identify the class, time, and duration of a gesture executed by a user. Gesture recognition systems based on electromyograp...
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