Development of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms A Real-Time Embedded Approach for Enhanced Human-Robot Interaction /

This book presents the development of a multimodal physiological signal acquisition system and cooperative control strategies for applications in upper-limb robotic rehabilitation. First, it introduces a non-pattern recognition EMG-based platform for hand rehabilitation, demonstrating its strong per...

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Opis bibliograficzny
1. autor: Cisnal de la Rica, Ana (Autor)
Korporacja: SpringerLink (Online service)
Format: Elektroniczne E-book
Język:angielski
Wydane: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Wydanie:1st ed. 2025.
Seria:Springer Theses, Recognizing Outstanding Ph.D. Research,
Hasła przedmiotowe:
Dostęp online:https://doi.org/10.1007/978-3-032-02485-5
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Opis
Streszczenie:This book presents the development of a multimodal physiological signal acquisition system and cooperative control strategies for applications in upper-limb robotic rehabilitation. First, it introduces a non-pattern recognition EMG-based platform for hand rehabilitation, demonstrating its strong performance in both gesture recognition accuracy and responsiveness. It also discusses the role of EMG-based visual feedback, showing how real-time visualization of muscle activation enhances user performance during training. In turn, it reports on the validation of a low-cost multimodal acquisition solution using two different real-time biocooperative control strategies. The results demonstrate that the developed low-cost wearable platform, which integrates multiple sensors, wireless communication, and a high-efficiency real-time microcontroller, is highly versatile and configurable, and shows a good signal quality. By addressing two main aspects that limit the adoption of biocooperative systems in clinical rehabilitation settings – hardware affordability and system reliability – this outstanding PhD thesis paves the way to the implementation of real-time biocooperative controls for future applications in robotic rehabilitation. .
Opis fizyczny:1 online resource (XIX, 78 p. 38 illus.). 35 illus. in color.
ISBN:9783032024855
ISSN:2190-5061
DOI:10.1007/978-3-032-02485-5