A benchtop system to assess the feasibility of a fully independent and implantable brain-machine interface.
A benchtop system to assess the feasibility of a fully independent and implantable brain-machine interface.
复制标题
用于评估完全独立的可植入脑机接口的可行性的台式系统。
DOI：
10.1088/1741-2552/ab4b0c
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发表时间：
2019
影响因子：
4
通讯作者：
Do,AnH
中科院分区：
文献类型：
--
作者：
Wang,PoT;Camacho,Everardo;Wang,Ming;Li,Yongcheng;Shaw,SusanJ;Armacost,Michelle;Gong,Hui;Kramer,Daniel;Lee,Brian;Andersen,RichardA;Liu,CharlesY;Heydari,Payam;Nenadic,Zoran;Do,AnH
最先进的侵入性脑机接口（BMI）已经显示出巨大的前景，但依赖于外部电子设备以及大脑与这些外部组件之间的有线连接。这种配置存在健康风险并限制了实际使用。这些局限性可以通过设计与现有FDA批准的植入式器械相似的完全植入式BMI来解决。在这里，原型BMI系统的尺寸和功耗是完全植入式医疗设备的设计和实施，其性能进行了测试，在benchtop和bedside.ApproachA原型的完全植入式BMI系统的设计和实施作为一个小型化的嵌入式系统。该台式模拟测试了其获取信号、训练解码器、执行在线解码、无线控制外部设备以及独立运行电池的能力。此外，性能指标，如功耗benchmarked.Main resultsAn模拟的完全植入式BMI制作与小型化的形状因子。招募了一名接受癫痫手术评估的患者，在初级运动皮层上植入了皮层电图（ECoG）网格，以操作该系统。进行了七次在线运行，平均二进制状态解码准确度为87.0%（滞后优化，或固定延迟时为85.0%）。该系统由一个无线充电电池供电，消耗约150 mW，并在一个单一的电池cycle. Significance BMI模拟实现即时和准确的解码ECoG信号的手运动。无线充电电池和其他支持功能使系统能够独立运行。除了占地面积小和可接受的功率和散热外，这些结果表明完全植入式BMI系统是可行的。
ObjectiveState-of-the-art invasive brain-machine interfaces (BMIs) have shown significant promise, but rely on external electronics and wired connections between the brain and these external components. This configuration presents health risks and limits practical use. These limitations can be addressed by designing a fully implantable BMI similar to existing FDA-approved implantable devices. Here, a prototype BMI system whose size and power consumption are comparable to those of fully implantable medical devices was designed and implemented, and its performance was tested at the benchtop and bedside.ApproachA prototype of a fully implantable BMI system was designed and implemented as a miniaturized embedded system. This benchtop analogue was tested in its ability to acquire signals, train a decoder, perform online decoding, wirelessly control external devices, and operate independently on battery. Furthermore, performance metrics such as power consumption were benchmarked.Main resultsAn analogue of a fully implantable BMI was fabricated with a miniaturized form factor. A patient undergoing epilepsy surgery evaluation with an electrocorticogram (ECoG) grid implanted over the primary motor cortex was recruited to operate the system. Seven online runs were performed with an average binary state decoding accuracy of 87.0%(lag optimized, or 85.0% at fixed latency). The system was powered by a wirelessly rechargeable battery, consumed∼ 150 mW, and operated for> 60 h on a single battery cycle.SignificanceThe BMI analogue achieved immediate and accurate decoding of ECoG signals underlying hand movements. A wirelessly rechargeable battery and other supporting functions allowed the system to function independently. In addition to the small footprint and acceptable power and heat dissipation, these results suggest that fully implantable BMI systems are feasible.