Abstract: The frequency overlap between biomedical signals and noise highlights the critical need for effective signal processing and filtering to ensure precision in radio diagnostics. This work introduces the design of a 14 nm CNFET-OTA-based low-pass filter (LPF) suitable for physiological signal filtration. A second-order LPF architecture integrating CNFET-OTA was proposed and simulated using HSPICE. The filter achieved a cut-off frequency of 100.7 Hz, an average power dissipation of 141.8 nW, a quality factor of 0.707, and a phase margin of 134°, confirming its applicability in biomedical domains. Low power consumption, low cut-off frequency, with an appropriate quality factor, makes the proposed LPF well-suited for real-time bio signal processing. Aiming for low power consumption while achieving low cut-off frequency from a 0.5V power supply, CNFET-OTA-based LPFs ensure resilience in real-world applications, paving the way for future advancements in this field.

Keywords: CNTFET, OTA, HSPICE, Stanford Model, Filter, Bio Signal

Downloads: | DOI: 10.17148/IJIREEICE.2025.13815