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A 330μW, 64-channel neural recording sensor with embedded spike feature extraction and auto-calibration

机译:具有嵌入式尖峰特征提取和自动校准功能的330μW,64通道神经记录传感器

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This paper reports an integrated 64-channel neural recording sensor. Neural signals are acquired, filtered, digitized and compressed in the channels. Additionally, each channel implements an auto-calibration mechanism which configures the transfer characteristics of the recording site. The system has two transmission modes; in one case the information captured by the channels is sent as uncompressed raw data; in the other, feature vectors extracted from the detected neural spikes are released. Data streams coming from the channels are serialized by an embedded digital processor. Experimental results, including in vivo measurements, show that the power consumption of the complete system is lower than 330μW.
机译:本文报告了一个集成的64通道神经记录传感器。在通道中对神经信号进行采集,滤波,数字化和压缩。此外,每个通道都实现了自动校准机制,该机制可配置记录站点的传输特性。该系统有两种传输方式:在一种情况下,通道捕获的信息作为未压缩的原始数据发送;另一方面,从检测到的神经尖峰提取的特征向量被释放。来自通道的数据流由嵌入式数字处理器进行串行化。包括体内测量在内的实验结果表明,整个系统的功耗低于330μW。

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