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AD8232 to Biopotentials Sensors: Open Source Project and Benchmark

José Jair Alves Mendes, Daniel Prado Campos, Lorenzo Coelho de Andrade Villela De Biassio, Pedro Carlin Passos, Paulo Broniera Júnior, André Eugênio Lazzaretti, Eddy Krueger

2023Electronics23 citationsDOIOpen Access PDF

Abstract

Acquiring biopotentials with fidelity using low-cost circuits is a significant challenge in biomedical instrumentation. In this perspective, our goal is to investigate the characteristics of the widely applied AD8232®, an analog front-end for biopotential acquisition. We designed and evaluated circuits to acquire the most common biosignals: electrocardiogram (ECG), electromyogram (EMG), and electroencephalogram (EEG). Our findings show that the circuit is suitable for ECG and EMG instrumentation, although it has limitations for EEG signals, particularly concerning the gain. The entire project of the boards is also a contribution of this work as we intend to corroborate open-source do-it-yourself biomedical instrumentation.

Topics & Concepts

Instrumentation (computer programming)Benchmark (surveying)Computer scienceElectroencephalographyFidelityOpen sourceElectronic circuitEngineeringElectrical engineeringTelecommunicationsNeurosciencePsychologySoftwareGeodesyProgramming languageOperating systemGeographyEEG and Brain-Computer InterfacesECG Monitoring and AnalysisSensor Technology and Measurement Systems
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