A High-Accuracy Gaussian Waveform Generation Circuit in CMOS Technology for Electrical Nerve Stimulation

Articles in Press

Document Type : Original Article

Authors

1 School of Electrical and Computer Engineering, College of Engineering, University of Tehran,, Tehra,n, Iran

2 School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract

Electrical nerve stimulation plays an important role in treatment of neural illnesses, as well as conducting the related research. Waveform is an important paratmeter of stimulation, for which, usually the rectgualar type is selected in commercial products and in research, for the sake of simplicity. However, in some references, the superiority of Gaussian waveform over rectangular, and the lower power consumption for its gerenration is poined out. In this paper, after a literature survey of neural stimulation, several Gaussian generator circuits from previous work are introduced, and finally, a new design for Gaussian signal generation is proposed. The presented circuit takes advantage of direct implementation of Gaussian signal, which has the general form of exp(-x2/2). In this circuit, a subtractor block is used to change the waveform peak point, a multiplier is used for square function generation, an exponential converter is used to generate exp(x) signal, a driver is used to amplify output current, and a H-bridge switching network is used for generation of bipolar waveform. The circuit is designed and simulated in 0.18µm CMOS technology, and has the capability of adjusting output current and stimulation pulsewidth. Static power consumption of the proposed circuit is 2.89W from 0.7V and 3.3V power supplies. Simulation results of the circuit is presented for various PVT corners, to show its acceptable performance.

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TABRIZ JOURNAL OF ELECTRICAL ENGINEERING

Articles in Press, Accepted Manuscript
Available Online from 30 June 2025

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