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Development of biocooperative contro...
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Cisnal de la Rica, Ana.
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Development of biocooperative control strategies for neuromotor rehabilitation robotic platforms = a real-time embedded approach for enhanced human-robot interaction /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Development of biocooperative control strategies for neuromotor rehabilitation robotic platforms/ by Ana Cisnal de la Rica.
其他題名:
a real-time embedded approach for enhanced human-robot interaction /
作者:
Cisnal de la Rica, Ana.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xix, 78 p. :ill. (some col.), digital ;24 cm.
附註:
"Doctoral thesis accepted by University of Valladolid, Valladolid, Spain."
內容註:
Introduction -- Hypotheses and Objectives -- Materials and methods -- Results.
Contained By:
Springer Nature eBook
標題:
Rehabilitation technology. -
電子資源:
https://doi.org/10.1007/978-3-032-02485-5
ISBN:
9783032024855
Development of biocooperative control strategies for neuromotor rehabilitation robotic platforms = a real-time embedded approach for enhanced human-robot interaction /
Cisnal de la Rica, Ana.
Development of biocooperative control strategies for neuromotor rehabilitation robotic platforms
a real-time embedded approach for enhanced human-robot interaction /[electronic resource] :by Ana Cisnal de la Rica. - Cham :Springer Nature Switzerland :2025. - xix, 78 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5061. - Springer theses..
"Doctoral thesis accepted by University of Valladolid, Valladolid, Spain."
Introduction -- Hypotheses and Objectives -- Materials and methods -- Results.
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.
ISBN: 9783032024855
Standard No.: 10.1007/978-3-032-02485-5doiSubjects--Topical Terms:
524390
Rehabilitation technology.
LC Class. No.: RM950
Dewey Class. No.: 610.28
Development of biocooperative control strategies for neuromotor rehabilitation robotic platforms = a real-time embedded approach for enhanced human-robot interaction /
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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.
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