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本文提出了一种名为DustNet的时分复用超声波植入物网络，通过16级ASK背向散射调制实现多植入物间的无线通信与供电，旨在解决神经信号长期记录中感染风险高、多通道数据上行需求大的问题，从而增强对假肢的直觉控制。
can give insight into the operation of neurological circuits and provides opportunities to restore function in patients with nerve damage. Realtime activity data from specific, spatially distributed efferent nerves provide motor signals that enhance intuitive control of prostheses [1,2]. To enable long-term recording with minimal risk of infection, wirelessly networked and powered implants, each with an uplink data rate of 50kb/s, are required to measure a wide range of neural signals, including LFP, AP, and EMG signals. Therefore, multi-implant networks of 4 to 8 implants require total data rates of 200 to 400kb/s. Recent studies have demonstrated multi-implant networks using RF, optical (NIR), or magnetoelectric communication schemes [3-5], but they suffer
Changuk Lee*, Jade Pinkenburg*, Mohammad Meraj Ghanbari*, Cem Yalcin,
Miguel Montalban, Rikky Muller University of California, Berkeley, CA *Equally Credited Authors (ECAs) A network of distributed neural implants