A low-power communication scheme for wireless, 1000 channel brain–machine interfaces
A low-power communication scheme for wireless, 1000 channel brain–machine interfaces
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DOI：
10.1088/1741-2552/ac7352
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发表时间：
2022-03
影响因子：
4
通讯作者：
Joseph T. Costello;Samuel R. Nason-Tomaszewski;Hyochan An;Jungho Lee;Matthew J. Mender;Hisham Temmar;Dylan M. Wallace;Jongyup Lim;Matthew S. Willsey;Parag G. Patil;Taekwang Jang;Jamie D. Phillips;Hun-Seok Kim;D. Blaauw;C. Chestek
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作者：
Joseph T. Costello;Samuel R. Nason-Tomaszewski;Hyochan An;Jungho Lee;Matthew J. Mender;Hisham Temmar;Dylan M. Wallace;Jongyup Lim;Matthew S. Willsey;Parag G. Patil;Taekwang Jang;Jamie D. Phillips;Hun-Seok Kim;D. Blaauw;C. Chestek
objective.脑机接口（BMI）具有恢复运动功能的潜力，但目前受到电极数量和长期记录稳定性的限制。这些挑战可以通过使用无线传输记录的神经信号的自由浮动的“微粒”来解决，如果当缩放到数千个微粒时，功耗可以保持在安全水平内。在这里，我们评估了一个脉冲间隔调制（PIM）通信方案的红外（IR）为基础的微尘，旨在降低无线数据速率和系统功耗。approach.为了测试PIM有效地传递神经信息的能力，我们用非人类灵长类动物在实时闭环BMI中模拟了通信方案。此外，我们进行了基于IR的1000-mote系统的电路模拟，以计算通信精度和总功耗。主要结果。我们发现，PIM在1 kb/s每通道保持强相关性与真实的射击率和匹配的在线BMI性能的传统有线系统。闭环BMI测试表明，小至30 ms的滞后可能会对性能产生显著影响。最后，与其他IR通信方案不同，PIM在功率方面是可行的，并且神经数据可以在1000个通道使用3mW的接收器上准确地恢复。意义这些结果表明，基于PIM的通信可以显著降低无线微尘的功率使用，从而为高性能BMI提供更高的信道计数。
Objective. Brain–machine interfaces (BMIs) have the potential to restore motor function but are currently limited by electrode count and long-term recording stability. These challenges may be solved through the use of free-floating ‘motes’ which wirelessly transmit recorded neural signals, if power consumption can be kept within safe levels when scaling to thousands of motes. Here, we evaluated a pulse-interval modulation (PIM) communication scheme for infrared (IR)-based motes that aims to reduce the wireless data rate and system power consumption. Approach. To test PIM’s ability to efficiently communicate neural information, we simulated the communication scheme in a real-time closed-loop BMI with non-human primates. Additionally, we performed circuit simulations of an IR-based 1000-mote system to calculate communication accuracy and total power consumption. Main results. We found that PIM at 1 kb/s per channel maintained strong correlations with true firing rate and matched online BMI performance of a traditional wired system. Closed-loop BMI tests suggest that lags as small as 30 ms can have significant performance effects. Finally, unlike other IR communication schemes, PIM is feasible in terms of power, and neural data can accurately be recovered on a receiver using 3 mW for 1000 channels. Significance. These results suggest that PIM-based communication could significantly reduce power usage of wireless motes to enable higher channel-counts for high-performance BMIs.