A dual-threshold adaptive action potential detector for neural recording systems

Shumiao Ma; Xiaolong Li; Senlin Ren; Jiayan Li

doi:10.1117/12.2687811

28 August 2023 A dual-threshold adaptive action potential detector for neural recording systems

Shumiao Ma, Xiaolong Li, Senlin Ren, Jiayan Li

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127241L (2023) https://doi.org/10.1117/12.2687811
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

This paper presents a low-power, low-noise neural recording dual-threshold adaptive action potential detector, a circuit that provides a method for detecting action potential signals with low amplitude to reduce the false and missed detection rate of action potentials, adaptively generates two suitable comparison thresholds - peak and trough thresholds and the period of the action potential can be detected. Simulation results show that the system achieves an input reference noise of 14µVrms, an IF gain of 90dB and a power consumption of 54µW. The proposed low-power, low-noise dual-threshold adaptive action potential detection circuit is suitable for implantable devices with neural recording systems.

Citation Download Citation

Shumiao Ma, Xiaolong Li, Senlin Ren, and Jiayan Li "A dual-threshold adaptive action potential detector for neural recording systems", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127241L (28 August 2023); https://doi.org/10.1117/12.2687811

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