Adaptation Strategies for Personalized Gait Neuroprosthetics.
Por:
Koelewijn AD, Audu M, Del-Ama AJ, Colucci A, Font-Llagunes JM, Gogeascoechea A, Hnat SK, Makowski N, Moreno JC, Nandor M, Quinn R, Reichenbach M, Reyes RD, Sartori M, Soekadar S, Triolo RJ, Vermehren M, Wenger C, Yavuz US, Fey D and Beckerle P
Publicada:
1 ene 2021
Ahead of Print:
16 dic 2021
Resumen:
Personalization of gait neuroprosthetics is paramount to ensure their efficacy for users, who experience severe limitations in mobility without an assistive device. Our goal is to develop assistive devices that collaborate with and are tailored to their users, while allowing them to use as much of their existing capabilities as possible. Currently, personalization of devices is challenging, and technological advances are required to achieve this goal. Therefore, this paper presents an overview of challenges and research directions regarding an interface with the peripheral nervous system, an interface with the central nervous system, and the requirements of interface computing architectures. The interface should be modular and adaptable, such that it can provide assistance where it is needed. Novel data processing technology should be developed to allow for real-time processing while accounting for signal variations in the human. Personalized biomechanical models and simulation techniques should be developed to predict assisted walking motions and interactions between the user and the device. Furthermore, the advantages of interfacing with both the brain and the spinal cord or the periphery should be further explored. Technological advances of interface computing architecture should focus on learning on the chip to achieve further personalization. Furthermore, energy consumption should be low to allow for longer use of the neuroprosthesis. In-memory processing combined with resistive random access memory is a promising technology for both. This paper discusses the aforementioned aspects to highlight new directions for future research in gait neuroprosthetics. Copyright © 2021 Koelewijn, Audu, del-Ama, Colucci, Font-Llagunes, Gogeascoechea, Hnat, Makowski, Moreno, Nandor, Quinn, Reichenbach, Reyes, Sartori, Soekadar, Triolo, Vermehren, Wenger, Yavuz, Fey and Beckerle.
Filiaciones:
Koelewijn AD:
Biomechanical Data Analysis and Creation (BIOMAC) Group, Machine Learning and Data Analytics Lab, Faculty of Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Audu M:
Department of Veterans Affairs, Louis Stokes Clevel and Veterans Affairs Medical Center, Advanced Platform Technology Center, Cleveland, OH, United States
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
Del-Ama AJ:
Applied Mathematics, Materials Science and Technology and Electronic Technology Department, Rey Juan Carlos University, Mostoles, Spain
Colucci A:
Clinical Neurotechnology Lab, Neuroscience Research Center (NWFZ), Department of Psychiatry and Neurosciences, Charité - Universita¨tsmedizin Berlin, Berlin, Germany
Font-Llagunes JM:
Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Centre for Biomedical Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain
Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
Gogeascoechea A:
Department of Biomechanical Engineering, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands
Hnat SK:
Department of Veterans Affairs, Louis Stokes Clevel and Veterans Affairs Medical Center, Advanced Platform Technology Center, Cleveland, OH, United States
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
Makowski N:
Department of Veterans Affairs, Louis Stokes Clevel and Veterans Affairs Medical Center, Advanced Platform Technology Center, Cleveland, OH, United States
Department of Physical Medicine and Rehabilitation, MetroHealth Medical Center, Cleveland, OH, United States
Moreno JC:
Neural Rehabilitation Group, Department of Translational Neuroscience, Cajal Institute, CSIC, Madrid, Spain
Nandor M:
Department of Veterans Affairs, Louis Stokes Clevel and Veterans Affairs Medical Center, Advanced Platform Technology Center, Cleveland, OH, United States
Department of Mechanical Engineering, Case Western Reserve University, Cleveland, OH, United States
Quinn R:
Department of Veterans Affairs, Louis Stokes Clevel and Veterans Affairs Medical Center, Advanced Platform Technology Center, Cleveland, OH, United States
Department of Mechanical Engineering, Case Western Reserve University, Cleveland, OH, United States
Reichenbach M:
Chair of Computer Engineering, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany
Chair for Computer Architecture, Department of Computer Science, Faculty of Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Reyes RD:
Department of Veterans Affairs, Louis Stokes Clevel and Veterans Affairs Medical Center, Advanced Platform Technology Center, Cleveland, OH, United States
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
Sartori M:
Department of Biomechanical Engineering, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands
Soekadar S:
Clinical Neurotechnology Lab, Neuroscience Research Center (NWFZ), Department of Psychiatry and Neurosciences, Charité - Universita¨tsmedizin Berlin, Berlin, Germany
Triolo RJ:
Department of Veterans Affairs, Louis Stokes Clevel and Veterans Affairs Medical Center, Advanced Platform Technology Center, Cleveland, OH, United States
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
Vermehren M:
Clinical Neurotechnology Lab, Neuroscience Research Center (NWFZ), Department of Psychiatry and Neurosciences, Charité - Universita¨tsmedizin Berlin, Berlin, Germany
Wenger C:
IHP-Leibniz Institut Fuer Innovative Mikroelektronik, Frankfurt (Oder), Germany
Yavuz US:
Biomedical Signals and Systems Group, University of Twente, Enschede, Netherlands
Fey D:
Chair for Computer Architecture, Department of Computer Science, Faculty of Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Beckerle P:
Chair of Autonomous Systems and Mechatronics, Department of Electrical Engineering, Artificial Intelligence in Biomedical Engineering, Faculty of Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Biomechanical Data Analysis and Creation (BIOMAC) Group, Machine Learning and Data Analytics Lab, Faculty of Engineering, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Germany.; Department of Veterans Affairs, Louis Stokes Clevel and Veterans Affairs Medical Center, Advanced Platform Technology Center, Cleveland, OH, United States.; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.; Applied Mathematics, Materials Science and Techn
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