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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

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Published on: November 12, 2019

Distributed clock gating for power reduction of a programmable waveform generator for neural stimulation.

Emilia Noorsal¹, Kriangkrai Sooksood, Ulrich Bihr

¹Faculty of Electrical Engineering, University Teknologi MARA (UiTM), 13500, Pulau Pinang, Malaysia. emilia659@ppinang.uitm.edu.my

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|February 1, 2013

Summary

This study introduces distributed clock gating for low-power neural stimulator waveform generators. The method significantly reduces power consumption in both control units and local stimulators.

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Area of Science:

Electrical Engineering
Biomedical Engineering
Computer Engineering

Background:

Neural stimulators require efficient power management for portable and implantable applications.
Traditional designs often face challenges in minimizing power consumption, especially in complex waveform generation circuitry.

Purpose of the Study:

To develop and evaluate a low-power design strategy for programmable waveform generators used in neural stimulators.
To leverage distributed clock gating techniques for enhanced power efficiency.

Main Methods:

Implementation of distributed clock gating, combining global timing control with local amplitude distribution.
Utilizing a counter and shifter at local digital stimulators to simplify waveform generation.
Integration of local and global clock gating for complete sub-block power management.

Main Results:

Achieved significant power savings: 63% in the global stimulator control unit.
Demonstrated substantial power reduction in local digital stimulators (89-96%).
Successfully implemented and tested the circuit in a 0.35 µm AMS HVCMOS technology.

Conclusions:

Distributed clock gating is an effective technique for achieving low-power designs in neural stimulator waveform generators.
The proposed method offers significant power savings, crucial for the advancement of neural stimulation technology.
The successful implementation validates the practical applicability of the approach.