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A 36 µW 1.1 mm2 reconfigurable analog front-end for cardiovascular and respiratory signals recording

Authors :
Universitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica
Universitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
Xu, Jiawei
Konijnenburg, Mario
Ha, Hyunsoo
van Wegberg, Roland
Song, Shuang
Blanco Almazán, María Dolores
Van Hoof, Chris
Van Helleputte, Nick
Universitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica
Universitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
Xu, Jiawei
Konijnenburg, Mario
Ha, Hyunsoo
van Wegberg, Roland
Song, Shuang
Blanco Almazán, María Dolores
Van Hoof, Chris
Van Helleputte, Nick
Publication Year :
2018

Abstract

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works<br />This paper presents a 1.2 V 36 µW reconfigurable analog front-end (R-AFE) as a general-purpose low-cost IC for multiple-mode biomedical signals acquisition. The R-AFE efficiently reuses a reconfigurable preamplifier, a current generator (CG), and a mixed signal processing unit, having an area of 1.1 mm2 per R-AFE while supporting five acquisition modes to record different forms of cardiovascular and respiratory signals. The R-AFE can interface with voltage-, current-, impedance-, and light-sensors and hence can measure electrocardiography (ECG), bio-impedance (BioZ), photoplethysmogram (PPG), galvanic skin response (GSR), and general-purpose analog signals. Thanks to the chopper preamplifier and the low-noise CG utilizing dynamic element matching, the R-AFE mitigates 1/f noise from both the preamplifier and the CG for improved measurement sensitivity. The IC achieves competitive performance compared to the state-of-the-art dedicated readout ICs of ECG, BioZ, GSR, and PPG, but with approximately 1.4×-5.3× smaller chip area per channel.<br />Peer Reviewed<br />Postprint (author's final draft)

Details

Database :
OAIster
Notes :
10 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1141701078
Document Type :
Electronic Resource