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{ "item_title" : "Development of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms", "item_author" : [" Ana Cisnal de la Rica "], "item_description" : "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 Ph.D. thesis paves the way to the implementation of real-time biocooperative controls for future applications in robotic rehabilitation.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/202/484/3032024846_b.jpg", "price_data" : { "retail_price" : "179.99", "online_price" : "179.99", "our_price" : "179.99", "club_price" : "179.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Development of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms|Ana Cisnal de la Rica

Development of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms : A Real-Time Embedded Approach for Enhanced Human-Rob

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Overview

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 Ph.D. thesis paves the way to the implementation of real-time biocooperative controls for future applications in robotic rehabilitation.

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Details

  • ISBN-13: 9783032024848
  • ISBN-10: 3032024846
  • Publisher: Springer
  • Publish Date: August 2025
  • Dimensions: 10.73 x 4.79 x 0.43 inches
  • Shipping Weight: 0.72 pounds
  • Page Count: 78

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