Transmission Latencies in a telemetry-linked brain-machine interface
Transmission Latencies in a telemetry-linked brain-machine interface
复制标题
DOI：
10.1109/tbme.2004.827090
复制
发表时间：
2004-06-01
影响因子：
4.6
通讯作者：
Wolf, PD
中科院分区：
文献类型：
--
作者：
Bossetti, CA;Carmena, JA;Wolf, PD
为了在临床上可行，脑机接口(BMI)需要经皮遥测。基于尖峰的压缩算法可以用来减少遥测数据量，但这种类型的系统会受到基于排队的传输延迟的影响。本文研究了植入设备的输出与平均输入带宽之比与传输延迟和所需队列深度之间的关系。这项检查是用一个旨在模拟遥测链路的计算机模型进行的。模型的输入是从一只执行运动任务的猕猴身上获取的预先分类的尖峰数据。该模型表明，当输出带宽/平均输入带宽相同时，会出现显着的传输延迟。对于一个32个神经元的系统，每个脉冲传输50个字节的数据，平均神经元放电频率为8.93个脉冲/S，平均最大延迟约为3.2 S，直到输出带宽是平均输入带宽的4倍时，平均最大延迟才被降低到10英寸以下。神经元放电率和由此产生的潜伏期的比较表明，高潜伏期是由神经元爆裂引起的。这些结果将影响BMI中经皮遥测的设计。
To be clinically viable, a brain-machine interface (BMI) requires transcutaneous telemetry. Spike-based compression algorithms can be used to reduce the amount of telemetered data, but this type of system is subject to queuing-based transmission delays. This paper examines the relationships between the ratio of output to average input bandwidth of an implanted device and transmission latency and required queue depth. The examination was performed with a computer model designed to simulate the telemetry link. The input to the model was presorted spike data taken from a macaque monkey performing a motor task. The model shows that when the output bandwidth/average input bandwidth is in unity significant transmission latencies occur. For a 32-neuron svstem, transmitting 50 bytes of data per spike and with an average neuron firing rate of 8.93 spikes/s, the average maximum delay was approximately 3.2 s. It is not until the output bandwidth is four times the average input bandwidth that average maximum delays are reduced to less than 10 ins. A comparison of neuron firing rate and resulting latencies shows that high latencies result from neuron bursting. These results will impact the design of transcutaneous telemetry in a BMI.