4.7 Article Proceedings Paper

Spread-Spectrum Modulated Multi-ChannelBiosignal Acquisition Using a SharedAnalog CMOS Front-End

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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBCAS.2023.3317188

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Atrial electrograms; biosignal acquisition; ECG; gold codes; linear-feedback shift register; multi-channel signal acquisition; sigma-delta converter; spread-spectrum modulation

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This article proposes a spread-spectrum modulated biosignal acquisition system for ambulatory or invasive medical applications with a high channel count. The system reduces power consumption, area consumption, and outgoing wire count by using a shared amplifier and an analog-to-digital converter (ADC). The proposed method is tested on real pre-recorded atrial electrograms and achieves good performance.
The key challenges in designing a multi-channel biosignal acquisition system for an ambulatory or invasive medical application with a high channel count are reducing the power consumption, area consumption and the outgoing wire count. This article proposes a spread-spectrum modulated biosignal acquisition system using a shared amplifier and an analog-to-digital converter (ADC). We propose a design method to optimize a recording system for a given application based on the required SNR performance, number of inputs, and area. The proposed method is tested and validated on real pre-recorded atrial electrograms and achieves an average percentage root-mean-square difference (PRD) performance of 2.65% and 3.02% for sinus rhythm (SR) and atrial fibrillation (AF), respectively by using pseudo-random binary-sequence (PRBS) codes with a code-length of 511, for 16 inputs. We implement a 4-input spread-spectrum analog front-end in a $0.18 \;\mu \mathrm{m}$ CMOS process to demonstrate the proposed approach. The analog front-end consists of a shared amplifier, a 2nd order $\Sigma \Delta$ ADC sampled at $7.8 \;\mathrm{MHz}$, used for digitization, and an on-chip 7-bit PRBS generator. It achieves a number-of-inputs to outgoing-wire ratio of 4:1 while consuming $23 \;\mu \mathrm{A}$/input including biasing from a $1.8 \;\mathrm{V}$ power supply and $0.067 \;\mathrm{mm}<^>{2}$ in area.

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