Page 66 - 《中国医疗器械杂志》2026年第1期
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Chinese Journal of Medical Instrumentation                                         2026年 第50卷 第1期

                                                    综     合     评    述



              发展。OBCI这一技术、新产品的日益发展,对相                               Eng, 2021, 18(4): 0460d7.
              应的医疗器械检测技术提出了更高的要求。目前国                            [13]   YUAN H W, LI Y, YANG J J, et al. State of the art of
                                                                    non-invasive  electrode  materials  for  brain–computer
              内外还缺乏相应的OBCI设备统一评定标准,检测
                                                                    interface[J]. Micromachines, 2021, 12(12): 1521.
              技术的发展也相对缓慢。本文基于OBCI技术基本                           [14]   ROY S, RATHEE D, CHOWDHURY A, et al. Assessing
              原理,提出了未来医疗器械检测技术在安全性和有                                impact  of  channel  selection  on  decoding  of  motor  and
              效性方面可参考或借鉴的标准,并对检测技术发展                                cognitive imagery from MEG data[J]. J Neural Eng, 2020,
                                                                    17(5): 056037.
              中需关注的重要指标进行了展望。本文为提升
                                                                [15]   盛兴, 赵汶鑫, 李丽珠, 等. 脑机接口技术的基础研究:
              OBCI设备的安全可靠性能、遴选下一代更高效的                               神经元与二极管[J]. 中国激光, 2023, 50(9): 181-192.
              OBCI医疗器械技术,乃至推动专属行业标准制定                           [16]   STRANGMAN  G,  BOAS  D  A,  SUTTON  J  P.  Non-
              与监管法规完善,提供了思路和支撑。相信随着检                                invasive  neuroimaging  using  near-infrared  light[J].  Biol
                                                                    Psychiatry, 2002, 52(7): 679-693.
              测技术的不断发展,OBCI技术在医疗器械领域的
                                                                [17]   PINTI  P,  TACHTSIDIS  I,  HAMILTON  A,  et  al.  The
              应用将迈入新的阶段。                                            present  and  future  use  of  functional  near‐ infrared
                                                                    spectroscopy (fNIRS) for cognitive neuroscience[J]. Ann
                                                                    N Y Acad Sci, 2020, 1464(1): 5-29.
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