Real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition

In this work, a strategy to obtain a lower noise floor from commercial multichannel Sigma-Delta analog-to-digital converters (ADCs) is presented. Specifically, data from ADS131E08, an 8-channel simultaneous sampling 24 bit converter, is captured, processed, and transmitted in real time using a MAX 1...

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Detalles Bibliográficos
Autores principales: Guerrero, Federico Nicolás, Oliva, Matías Javier, Spinelli, Enrique Mario
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2023
Materias:
Ingeniería
Noise
Biopotential average
FPGA
Siga-delta converter
Dynamic Range
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160852
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-160852
record_format dspace
spelling I19-R120-10915-1608522023-11-30T04:07:19Z http://sedici.unlp.edu.ar/handle/10915/160852 Real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition Guerrero, Federico Nicolás Oliva, Matías Javier Spinelli, Enrique Mario 2023-03 2023 2023-11-29T13:41:19Z en Ingeniería Noise Biopotential average FPGA Siga-delta converter Dynamic Range In this work, a strategy to obtain a lower noise floor from commercial multichannel Sigma-Delta analog-to-digital converters (ADCs) is presented. Specifically, data from ADS131E08, an 8-channel simultaneous sampling 24 bit converter, is captured, processed, and transmitted in real time using a MAX 10 FPGA included in a measurement system with medical grade isolation, thus able to acquire biomedical signals. Noise measurements show that the system is able to reduce the equivalent input voltage noise of the ADC by a factor of 2.8, extending the measurement dynamic range by 9 dB. In this way, the system improves the otherwise minimum available noise floor with no additional analog stages and allows using higher data rates while maintaining signal quality. Experimental electrocardiogram and electromyogram recordings were taken using non-invasive dry electrodes, validating the operation of the system as a biopotential acquisition platform. Under these experimental conditions, a noise reduction factor of 2.1 times for the noise floor of the measured biopotential signals was verified. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
Noise
Biopotential average
FPGA
Siga-delta converter
Dynamic Range
spellingShingle Ingeniería
Noise
Biopotential average
FPGA
Siga-delta converter
Dynamic Range
Guerrero, Federico Nicolás
Oliva, Matías Javier
Spinelli, Enrique Mario
Real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition
topic_facet Ingeniería
Noise
Biopotential average
FPGA
Siga-delta converter
Dynamic Range
description In this work, a strategy to obtain a lower noise floor from commercial multichannel Sigma-Delta analog-to-digital converters (ADCs) is presented. Specifically, data from ADS131E08, an 8-channel simultaneous sampling 24 bit converter, is captured, processed, and transmitted in real time using a MAX 10 FPGA included in a measurement system with medical grade isolation, thus able to acquire biomedical signals. Noise measurements show that the system is able to reduce the equivalent input voltage noise of the ADC by a factor of 2.8, extending the measurement dynamic range by 9 dB. In this way, the system improves the otherwise minimum available noise floor with no additional analog stages and allows using higher data rates while maintaining signal quality. Experimental electrocardiogram and electromyogram recordings were taken using non-invasive dry electrodes, validating the operation of the system as a biopotential acquisition platform. Under these experimental conditions, a noise reduction factor of 2.1 times for the noise floor of the measured biopotential signals was verified.
format Objeto de conferencia
Objeto de conferencia
author Guerrero, Federico Nicolás
Oliva, Matías Javier
Spinelli, Enrique Mario
author_facet Guerrero, Federico Nicolás
Oliva, Matías Javier
Spinelli, Enrique Mario
author_sort Guerrero, Federico Nicolás
title Real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition
title_short Real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition
title_full Real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition
title_fullStr Real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition
title_full_unstemmed Real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition
title_sort real-time noise reduction through independent channel averaging for real-time biomedical signal acquisition
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/160852
work_keys_str_mv AT guerrerofedericonicolas realtimenoisereductionthroughindependentchannelaveragingforrealtimebiomedicalsignalacquisition
AT olivamatiasjavier realtimenoisereductionthroughindependentchannelaveragingforrealtimebiomedicalsignalacquisition
AT spinellienriquemario realtimenoisereductionthroughindependentchannelaveragingforrealtimebiomedicalsignalacquisition
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