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Neural functional rehabilitation: Exploring neuromuscular reconstruction technology advancements and challenges
Chunxiao Tang1, Ping Wang1, Zhonghua Li2
1Department of Neural Engineering Center, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, Guangdong Province, China.
Neural Regeneration Research
|December 12, 2024
Summary
Neural machine interface technology restores function for neurological disorders. Advancements in electrodes and AI improve performance, but challenges like signal interference remain for neuroprosthetics and neurorehabilitation.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Rehabilitation Technology
Background:
- Neurological dysfunctions present significant challenges, impacting motor, sensory, and cognitive abilities.
- Neural machine interface (NMI) technology offers a direct connection to the nervous system to restore these functions.
- Existing NMI approaches include regenerative peripheral nerve interfaces, targeted muscle reinnervation, and brain-machine interfaces.
Purpose of the Study:
- To review the chronological development and integration of NMI technologies.
- To analyze recent advancements and remaining challenges in NMI.
- To highlight the clinical applications and future potential of NMI.
Main Methods:
- Review of chronological development of NMI technologies.
- Analysis of advancements in flexible electronics and bioengineering for electrodes.
- Examination of signal processing algorithms, including AI and machine learning.
Main Results:
- Biocompatible, high-resolution electrodes have improved NMI performance and longevity.
- AI and machine learning enhance neural signal interpretation accuracy and reliability.
- NMI technologies show broad clinical applications in prosthetics, neurorehabilitation, and neurological disorder treatment.
Conclusions:
- Multidisciplinary collaboration is crucial for advancing NMI technology.
- Addressing challenges like signal interference and tissue encapsulation is key.
- NMI technology holds significant potential to revolutionize neuroprosthetics and neurorehabilitation, improving quality of life.
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