Discrete-time automatic spike detection circuit for neural recording implants

Barati, S; Sodagar, Amir M.

doi:10.1049/el.2010.3040

Cited by 9 publications

(1 citation statement)

References 5 publications

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“…Advanced high-density neural recording brain implants are examples of such systems, acquiring huge amount of neuronal data to be telemetered to the outside world through wireless interfacing. A wide variety of digital signal processing techniques have been proposed for data compression/reduction on such devices, among which one can point to spike detection 10 , 11 , neural signal compression 12 , 13 , and spike sorting 14 , 15 .…”

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confidence: 99%

Intertwined-pulse modulation for compressive data telemetry

Farsiani

Sodagar

2022

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This paper presents a novel approach for anisochronous pulse-based modulation. In the proposed approach, referred to as the intertwined-pulse modulation (IPM), every pair of consecutive symbols overlap in time. This allows for shortening the time allocated for the transmission of the symbols, hence achieving temporal compaction while the data goes through the line encoding step in a digital communication system. The IPM is also uniquely superior to other existing anisochronous pulse-based modulation schemes in the fact that it exhibits robust symbol error rate against unwanted variations in both rise/fall times of the pulses in the modulated waveform, and in the threshold level used for data detection on the receiver side. An experimental setup was developed to implement an IPM encoder using standard digital hardware, and an IPM decoder as a part of the receiver system in software. According to the experimental results (supported by simulation results and theoretical studies), for the data mean value of mid-full-scale range, the proposed IPM scheme exhibits a time-domain compaction rate of up to 209.2%.

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