Chapter B: Supporting Systems Architecture – An Integrative Concept for Implementing Neural Bypass in ALS
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866901206327099392 |
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| author | Tomer, Roi |
| author_facet | Tomer, Roi |
| contents | <p class="MsoNormal">This article is a continuation of the paper <em>“Not a Fate: Extending the Lives of ALS Patients through Neural Bypass and Advanced Artificial Support.”</em><br>In this document, the focus shifts from a high-level system definition to a detailed system-engineering concept of the supporting subsystems responsible for autonomous muscular functions.</p> <p class="MsoNormal">While the first article presented the fundamental principles and overall architecture, this document concentrates on the physical and functional realization of the supporting systems, including decomposition into biomechanical regions, definition of precise functions, and mapping to existing and emerging technologies.</p> <p class="MsoNormal">The central emphasis is on the integration of biomechanics, sensing, and real-time control, while maintaining critical physiological constraints such as respiration, swallowing, and stability. The design is based on principles of soft actuation, load distribution, system redundancy, and multi-layered safety control, with the aim of enabling coherent, safe, and adaptive operation of the overall system.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19917828 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Chapter B: Supporting Systems Architecture – An Integrative Concept for Implementing Neural Bypass in ALS Tomer, Roi Amyotrophic Lateral Sclerosis Motor Neuron Disease Neurodegenerative Disorders Neural Bypass Brain–Computer Interface ALS Neuroprosthetics Neural Interface Architecture Closed-loop Neurotechnology Assistive Neural Systems Systems Architecture Integrative Biomedical Systems Multilayer Control Systems Human–Machine Integration Biohybrid Systems Neural Signal Processing Physiological Signal Integration Adaptive Control Systems Sensor Fusion Real-time Biological Feedback Functional Restoration Technologies Motor Substitution Pathways Artificial Motor Control Embodied Neuroengineering Translational Neurotechnology Neurorehabilitation Assistive Technology Systems <p class="MsoNormal">This article is a continuation of the paper <em>“Not a Fate: Extending the Lives of ALS Patients through Neural Bypass and Advanced Artificial Support.”</em><br>In this document, the focus shifts from a high-level system definition to a detailed system-engineering concept of the supporting subsystems responsible for autonomous muscular functions.</p> <p class="MsoNormal">While the first article presented the fundamental principles and overall architecture, this document concentrates on the physical and functional realization of the supporting systems, including decomposition into biomechanical regions, definition of precise functions, and mapping to existing and emerging technologies.</p> <p class="MsoNormal">The central emphasis is on the integration of biomechanics, sensing, and real-time control, while maintaining critical physiological constraints such as respiration, swallowing, and stability. The design is based on principles of soft actuation, load distribution, system redundancy, and multi-layered safety control, with the aim of enabling coherent, safe, and adaptive operation of the overall system.</p> |
| title | Chapter B: Supporting Systems Architecture – An Integrative Concept for Implementing Neural Bypass in ALS |
| topic | Amyotrophic Lateral Sclerosis Motor Neuron Disease Neurodegenerative Disorders Neural Bypass Brain–Computer Interface ALS Neuroprosthetics Neural Interface Architecture Closed-loop Neurotechnology Assistive Neural Systems Systems Architecture Integrative Biomedical Systems Multilayer Control Systems Human–Machine Integration Biohybrid Systems Neural Signal Processing Physiological Signal Integration Adaptive Control Systems Sensor Fusion Real-time Biological Feedback Functional Restoration Technologies Motor Substitution Pathways Artificial Motor Control Embodied Neuroengineering Translational Neurotechnology Neurorehabilitation Assistive Technology Systems |
| url | https://doi.org/10.5281/zenodo.19917828 |