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Converging Clinical and Engineering Research on Neurorehabilitation IV

Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Diego Torricelli

    1. Neural Rehabilitation Group, Cajal Institute, Madrid, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Metin Akay

    1. Department of Biomedical Engineering, University of Houston, Houston, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Jose L. Pons

    1. Department of Biomedical Engineering, Shirley Ryan AbilityLab, Chicago, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Reports on cutting-edge developments in robot-assisted rehabilitation
  • Gives new insights into the understanding of motor control and neural function
  • Fosters communication between engineers, industry and medical professionals

Part of the book series: Biosystems & Biorobotics (BIOSYSROB, volume 28)

Included in the following conference series:

Conference proceedings info: ICNR 2020.

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Table of contents (155 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. SS1: How To Challenge Patients During Robot-Assisted Gait Training: From Technical Aspects to Clinical Evidence

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. How to Challenge Patients During Gait Training: The Effect of Immersive Virtual Reality on the Gait Pattern in People Post-stroke

      • E. De Keersmaecker, D. Rodriguez-Cianca, B. Serrien, B. Jansen, C. Rodriguez-Guerrero, E. Kerckhofs et al.
      Pages 3-7

    3. Automatic Versus Manual Tuning of Robot-Assisted Gait Training

      • C. Bayón, S. S. Fricke, H. van der Kooij, E. H. F. van Asseldonk
      Pages 9-14

    4. Six weeks Use of a Wearable Soft-robotic Glove During ADL: Preliminary Results of Ongoing Clinical Study

      • Anke I. R. Kottink, Corien D. M. Nikamp, Jaap H. Buurke, Foskea Bos, Corry K. van der Sluis, Marieke van den Broek et al.
      Pages 15-20

    5. Proof-of-Concept of POF-Based Pressure Sensors Embedded in a Smart Garment for Impact Detection in Perturbation Assessment

      • Leticia Avellar, Arnaldo Leal-Junior, Carlos Marques, E. Rocon, Anselmo Frizera
      Pages 21-25

    6. Influence of Innovative Rehabilitation Technology on Intensity of Training: Preliminary Results

      • Anke I. R. Kottink, Gerdienke B. Prange-Lasonder, Lars Dijk, Chris T. M. Baten, Judith F. M. Fleuren, Jaap H. Buurke
      Pages 27-32

    7. Wearable Vibrotactile Biofeedback to Improve Human-Exoskeleton Compliance During Assisted Gait Training

      • Cristiana Pinheiro, Joana Figueiredo, Cristina P. Santos
      Pages 33-37

    8. Challenges in Adaptive Robot-Assisted Gait Training: The Balancing Act of Minimizing Assistance While Preserving Safety

      • Alejandro Melendez-Calderon, Serena Maggioni
      Pages 39-43

  3. SS2: Commanding Lower-Limb Exoskeletons by Means of Brain-Machine Interfaces: Achievements and Challenges

    1. Front Matter

      Pages 45-45
      Download chapter PDF

    2. Detection of Attempted Stroke Hand Motions from Surface EMG

      • Mads Jochumsen, Asim Waris, Imran K. Niazi
      Pages 47-52

    3. Comparison of Different Brain–Computer Interfaces to Assess Motor Imagery Using a Lower-Limb Exoskeleton

      • L. Ferrero, V. Quiles, M. Ortiz, E. Iáñez, A. Navarro-Arcas, J. A. Flores-Yepes et al.
      Pages 53-58

    4. Optimal Calibration Time for Lower-Limb Brain–Machine Interfaces

      • L. Ferrero, V. Quiles, M. Ortiz, E. Iáñez, J. L. Contreras-Vidal, J. M. Azorín
      Pages 59-64

    5. Comparison Between Methods to Create the Leg Length Discrepancy (LLD) Patient-Specific Model: Musculoskeletal Modeling

      • Hamidreza Barnamehei, Farhad Tabatabai Ghomsheh, Afsaneh Safar Cherati, Majid Pouladian, Arghavan Aminishahsavarani, Neda Golfeshan
      Pages 65-69

    6. Shoulder Kinematics and Kinetics Comparison Between Amateur and Professional Athletics During High-Speed Overhead Tasks: Computer Simulation Study

      • Hamidreza Barnamehei, Farhad Tabatabai Ghomsheh, Afsaneh Safar Cherati, Majid Pouladian, Arghavan Aminishahsavarani, Neda Golfeshan
      Pages 71-75

    7. Subject-Independent Detection of Movement-Related Cortical Potentials and Classifier Adaptation from Single-Channel EEG

      • Mads Jochumsen
      Pages 77-81

  4. SS3: Towards Patient-Specific Robotic and Neuroprosthetic Technologies and Therapies for Walking Rehabilitation and Assistance

    1. Front Matter

      Pages 83-83
      Download chapter PDF

    2. A Random Forest Based Methodology for the Development of an Intelligent Classifier of Physical Activities

      • Asier Brull, Sergio Lucas, A. Zubizarreta, Eva Portillo, Itziar Cabanes
      Pages 85-89

    3. Human-Centered Approaches for Patient-Specific Wearable Robots

      • Philipp Beckerle
      Pages 91-95

    4. Effect of Gel Type and Anode Selection in Ankle Movements Elicited by a Multi-field FES Device

      • Aitor Martín-Odriozola, Cristina Rodriguez-de-Pablo, Haritz Zabaleta-Rekondo, Eukene Imatz-Ojanguren, Thierry Keller
      Pages 97-101
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Other volumes

  1. Converging Clinical and Engineering Research on Neurorehabilitation IV

Keywords

About this book

The book reports on advanced topics in the areas of neurorehabilitation research and practice. It focuses on new methods for interfacing the human nervous system with electronic and mechatronic systems to restore or compensate impaired neural functions. Importantly, the book merges different perspectives, such as the clinical, neurophysiological, and bioengineering ones, to promote, feed and encourage collaborations between clinicians, neuroscientists and engineers.  Based on the 2020 International Conference on Neurorehabilitation (ICNR 2020) held online on October 13-16, 2020, this book covers various aspects of neurorehabilitation research and practice, including new insights into biomechanics, brain physiology, neuroplasticity, and brain damages and diseases, as well as innovative methods and technologies for studying and/or recovering brain function, from data mining to interface technologies and neuroprosthetics. In this way, it offers a concise, yet comprehensive referenceguide to neurosurgeons, rehabilitation physicians, neurologists, and bioengineers. Moreover, by highlighting current challenges in understanding brain diseases as well as in the available technologies and their implementation, the book is also expected to foster new collaborations between the different groups, thus stimulating new ideas and research directions.

Editors and Affiliations

  • Neural Rehabilitation Group, Cajal Institute, Madrid, Spain

    Diego Torricelli

  • Department of Biomedical Engineering, University of Houston, Houston, USA

    Metin Akay

  • Department of Biomedical Engineering, Shirley Ryan AbilityLab, Chicago, USA

    Jose L. Pons

Bibliographic Information

  • Book Title: Converging Clinical and Engineering Research on Neurorehabilitation IV

  • Book Subtitle: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020

  • Editors: Diego Torricelli, Metin Akay, Jose L. Pons

  • Series Title: Biosystems & Biorobotics

  • DOI: https://doi.org/10.1007/978-3-030-70316-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-70315-8Published: 02 October 2021

  • Softcover ISBN: 978-3-030-70318-9Published: 03 October 2022

  • eBook ISBN: 978-3-030-70316-5Published: 01 October 2021

  • Series ISSN: 2195-3562

  • Series E-ISSN: 2195-3570

  • Edition Number: 1

  • Number of Pages: XXI, 975

  • Number of Illustrations: 26 b/w illustrations, 273 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering, User Interfaces and Human Computer Interaction, Robotics and Automation, Occupational Therapy, Neurosciences

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