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Eleonora Ortu, Sara Di Nicolantonio, Samuele Cova, Davide Pietropaoli, Lucia De Simone and Annalisa Monaco
Background: The main objective of this study was to compare the clinical efficacy of two different devices, the Eptamed elastodontic device and a common bite sold in pharmacies, by assessing a computer aid evaluation of patients? surface electromyography...
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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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Denisa Piele, Eva Ilie, Ligia Rusu and Mihnea Ion Marin
Background: According to statistics, worldwide, the number of young persons diagnosed with idiopathic scoliosis has tripled in the last 10 years. This tendency seems to be related to the development of technological devices that induce vicious postures. ...
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Ji-Yong Jung and Jung-Ja Kim
A rollator, one of the most widely used among walking assistance devices, can assist the elderly with stable walking in their daily lives. In this study, we investigated how the structural characteristics of two types of rollators affect the upper and lo...
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Ana Colim, Débora Pereira, Pedro Lima, André Cardoso, Rui Almeida, Duarte Fernandes, Sacha Mould and Pedro Arezes
The main contribution of the current study is to provide a user-centered design of a handle for a novel inspection device with ergonomic requirements obtained from a thorough scientific study.
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Rytis Maskeliunas, Robertas Dama?evicius, Vidas Raudonis, Au?ra Adomaviciene, Juozas Raistenskis and Julius Gri?kevicius
One of the most difficult components of stroke therapy is regaining hand mobility. This research describes a preliminary approach to robot-assisted hand motion therapy. Our objectives were twofold: First, we used machine learning approaches to determine ...
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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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Pablo Sarabia, Alvaro Araujo, Luis Antonio Sarabia and María de la Cruz Ortiz
Surface electromyography (sEMG) plays a crucial role in several applications, such as for prosthetic controls, human?machine interfaces (HMI), rehabilitation, and disease diagnosis. These applications are usually occurring in real-time, so the classifier...
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Angelika Wesolek, Przemyslaw Daroszewski and Juliusz Huber
The present study aimed to assess the function of muscular and nervous systems in high-maneuvering jet fighters with the chosen method of clinical neurophysiology, which methodologically has not yet been presented in detail. Fifteen pilots with the exper...
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Enze Shao, Qichang Mei, Tongjun Ye, Bálint Kovács, Julien S. Baker, Wei Liu and Yaodong Gu
Interval running methodologies simulate competition and training conditions, with the aim of enhancing an athletes? ability to cope with constant deceleration, acceleration, and sudden changes in direction, as associated athletic and performance challeng...
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