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2008
IEEE

Pulse-based signal compression for implanted neural recording systems

10 years 4 months ago
Pulse-based signal compression for implanted neural recording systems
— Today’s implanted neural systems are bound by tight constraints on power and communication bandwidth. Most conventional ADC-based approaches fall into two categories. Either they transmit all of the information at the Nyquist rate but are ultimately limited to only a handful of channels due to communication bandwidth constraints. Or they perform spike detection on the front-end which allows a scale up to 100 or more channels but prevents the use of spike sorting on the backend. Spike sorting is an important step that provides a labeling to multiple neurons on each channel and further improves the accuracy of spike detection. In this paper we describe the pulse-based approach used in the FWIRE (Florida Wireless Implantable Recording Electrodes) project. A hardware spiking neuron on each channel is configured either to transmit pulses for full reconstruction on the back-end, or to transmit dramatically fewer pulses but still allow for spike sorting on the back-end. Spike sorting r...
John G. Harris, Jose C. Principe, Justin C. Sanche
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where ISCAS
Authors John G. Harris, Jose C. Principe, Justin C. Sanchez, Du Chen, Christy She
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