[Research and Countermeasure Analysis on the Classification of Brain-Computer Interface Rehabilitation Medical Devices].

脑-机接口 风险分析(工程) 对策 计算机科学 医学分类 接口(物质) 欧洲联盟 风险管理 康复 人工智能 分类 功能(生物学) 决策支持系统 应对(心理学) 医学 分类方案 形势意识 工程类 计算机安全 知识管理
作者
Yue Wang,Xiao Jiang,Le Cui,Xiao Cao,Run Shi,Yue Wang,Kejun Liu,Chunqing Zhang,Jiong Zhu
出处
期刊:PubMed [National Institutes of Health]
卷期号:50 (3): 334-341
标识
DOI:10.12455/j.issn.1671-7104.250541
摘要

Objective: To explore the current management status and challenges of brain-computer interface (BCI) rehabilitation medical devices. The existing classification system in China faces several problems, including a single classification dimension, insufficient risk adaptation, and having difficulties in coping with technological iteration. This study aims to propose scientific classification ideas and promote the healthy and orderly development of such devices in the medical field. Methods: By sorting out the regulatory experience of the United States, the European Union and Japan, combining the current situation of BCI technology research and classification management in China, this study analyzes the technical characteristics of BCI products and the current status of "ambiguous definition and classification, and pending update of regulations and standards". On this basis, a three-dimensional classification model based on "function, risk and invasiveness" is constructed. Results: The core function of these products is defined as "collecting electroencephalographic signals to identify patients' intentions for rehabilitation training or adjuvant therapy". Subdivisions such as "invasive/non-invasive" and "rehabilitation training/augmentative and alternative communication/mental illness treatment" are achieved. For example, multi-functional devices for stroke patients are classified as "medium risk". International practices are integrated to overcome the limitations of traditional classification, providing a path for China to learn from international ideas. Space is reserved for technological iteration, such as new electrodes and artificial intelligence algorithms. Conclusion: By clarifying functional purposes and risks, the proposed classification idea provides a basis for supervision. It can be optimized with the expansion of technology and scenarios, and it helps make the classification of BCI products more scientific
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