JOURNAL ARTICLE

Integrated programmable analog front-end architecture for physiological signal acquisition

Abstract

A versatile front-end capable of acquiring a wide range of physiological signals, thus reusing the same design and hardware in different contexts, is a valuable goal both for biomedical research and medical devices. In this work we present such an "all-terrain" programmable integrated front-end architecture and the trade-offs associated to its design. A low noise preamplifier is implemented using a novel architecture based on a differential-difference amplifier which applies gm-C techniques for fixing the cut-off frequencies. Moreover, this architecture is extended to be applied to the other stages of the front-end. The main design trade-offs (noise-power, gain-power, noise-gain and linearity-gain) of the front-end architecture are discussed and their impacts in the design of the processing chain in terms of assignment of gain, noise, linearity and programmability to each stage are shown. The front-end is designed in a 0.5µm CMOS process. The gain is programmable between 57dB and 99dB, the high cut-off frequency is programmable between 116Hz and 5.2kHz, the low cut-off frequency is 18Hz, the maximum power consumption of the front-end is 11.2µA and its maximum equivalent input-referred noise voltage is 1.87µV rms .

Keywords:
Front and back ends Computer science SIGNAL (programming language) Architecture Mixed-signal integrated circuit Analog front-end Analog signal Computer hardware Computer architecture Electronic engineering Digital signal processing Integrated circuit Engineering CMOS Operating system

Metrics

2
Cited By
0.37
FWCI (Field Weighted Citation Impact)
13
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Analog and Mixed-Signal Circuit Design
Physical Sciences →  Engineering →  Biomedical Engineering
Sensor Technology and Measurement Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
ECG Monitoring and Analysis
Health Sciences →  Medicine →  Cardiology and Cardiovascular Medicine
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