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A Reconfigurable Differential-to-Single-Ended Autonomous Current Adaptation Buffer Amplifier Suitable for Biomedical
IEEE Transactions on Biomedical Circuits and Systems
|December 17, 2021
Summary
This study introduces a reconfigurable autonomous current adaptation buffer amplifier (ACABA) for efficient physiological signal processing. This power-efficient amplifier autonomously adjusts current for high slew rates and low quiescent power consumption.
Area of Science:
- • Electrical Engineering
- • Analog Integrated Circuit Design
- • Biomedical Engineering
Background:
- • Existing buffer amplifiers often lack adaptability and power efficiency for sensitive physiological signal acquisition.
- • Need for circuits that can dynamically adjust performance based on signal characteristics without complex control systems.
Purpose of the Study:
- • To propose and demonstrate a novel reconfigurable differential-to-single-ended autonomous current adaptation buffer amplifier (ACABA).
- • To achieve power efficiency and high performance suitable for processing dynamic physiological signals.
- • To enable adjustable gain, output DC level, and bandwidth using floating-gate technology.
Main Methods:
- • Design and fabrication of an ACABA prototype using floating-gate technologies in a 0.18 μm CMOS process.
- • Utilization of capacitive circuit design for reconfigurability of output DC level and bandwidth by programming floating nodes.
- • Implementation of autonomous current adaptation for dynamic slew rate enhancement without external control circuits.
Main Results:
- • Fabricated prototype occupies an area of 0.01 mm².
- • Achieved a unity-gain bandwidth of 10.5 MHz with a 1 pF load, consuming 70 μW.
- • Demonstrated a high slew rate of 20 V/μs and an IIP2 value of 65 dBV.
Conclusions:
- • The proposed ACABA offers a power-efficient and reconfigurable solution for physiological signal processing.
- • Autonomous current adaptation enables high slew rates when needed while maintaining low quiescent power.
- • The circuit's adjustability and performance metrics make it suitable for various bio-sensing applications.
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