# A DTMOS-Based Memristor Emulator Circuit for Low-Power Biomedical Signal Conditioning

**Authors:** Imen Barraj

PMC · DOI: 10.3390/mi17030328 · Micromachines · 2026-03-05

## TL;DR

This paper introduces a low-power, compact memristor emulator circuit suitable for biomedical applications, using minimal components and demonstrating high performance.

## Contribution

A novel, minimalist floating memristor emulator circuit using DTMOS transistors and a capacitor is proposed for biomedical signal conditioning.

## Key findings

- The circuit operates without static power consumption and shows a tunable frequency-dependent hysteresis loop.
- Experimental validation confirms the circuit's performance from 100 Hz to 800 kHz with a simulated maximum frequency of 500 MHz.
- The design offers a favorable trade-off between transistor count, power consumption, and high-speed performance.

## Abstract

This paper presents a novel, minimalist floating memristor emulator circuit designed for low-power biomedical analog front ends. The proposed topology requires only two dynamic threshold MOS (DTMOS) transistors and one capacitor, constituting one of the most compact memristor emulators reported. The circuit operates without static power consumption and exploits the body-effect coupling in DTMOS devices to generate a state-dependent resistance. Comprehensive simulation in a 0.18 μm CMOS process verifies core memristive characteristics: a frequency-dependent pinched hysteresis loop tunable via capacitance, non-volatile memory, and robustness across temperature and process variations. Experimental validation using a discrete CD4007-based prototype confirms the pinched hysteresis loop from 100 Hz to 800 kHz, with a maximum simulated operating frequency of 500 MHz. A comparative analysis demonstrates that the design achieves a favorable trade-off, simultaneously minimizing transistor count and power while providing floating operation and high-speed performance. These attributes make the emulator a compelling candidate for integration into adaptive, area and power constrained biomedical signal conditioning systems.

## Full-text entities

- **Chemicals:** CD4007 (-)

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13028274/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC13028274/full.md

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Source: https://tomesphere.com/paper/PMC13028274