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Benchmarking of the BITalino biomedical toolkit against an established gold standard
The low-cost multimodal platform BITalino is being increasingly used for educational and research purposes. However, there is still a lack of well-structured work comparing data acquired by this toolkit against a reference device, using established experimental protocols. This work intends to fill t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6498399/ https://www.ncbi.nlm.nih.gov/pubmed/31119036 http://dx.doi.org/10.1049/htl.2018.5037 |
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author | Batista, Diana Plácido da Silva, Hugo Fred, Ana Moreira, Carlos Reis, Margarida Ferreira, Hugo Alexandre |
author_facet | Batista, Diana Plácido da Silva, Hugo Fred, Ana Moreira, Carlos Reis, Margarida Ferreira, Hugo Alexandre |
author_sort | Batista, Diana |
collection | PubMed |
description | The low-cost multimodal platform BITalino is being increasingly used for educational and research purposes. However, there is still a lack of well-structured work comparing data acquired by this toolkit against a reference device, using established experimental protocols. This work intends to fill the said gap by benchmarking the performance of BITalino against the BioPac MP35 Student Lab Pro device. This work followed a methodical experimental protocol to acquire data from the two devices simultaneously. Four physiological signals were acquired: electrocardiography, electromyography, electrodermal activity and electroencephalography. Root mean square error and coefficient of determination were computed to analyse differences between BITalino and BioPac. Electrodermal activity signals were very similar for the two devices, even without applying any major signal processing techniques. For electrocardiography, a simple morphological comparison also revealed high similarity between devices, and this similarity increased after a common segmentation procedure was followed. Regarding electromyography and electroencephalography data, the approach consisted of comparing features extracted using common post-processing methods. The differences between BITalino and BioPac were again small. Overall, the results presented here show a close similarity between data acquired by the BITalino and by the reference device. This is an important validation step for all researchers working with this multimodal platform. |
format | Online Article Text |
id | pubmed-6498399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Institution of Engineering and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-64983992019-05-22 Benchmarking of the BITalino biomedical toolkit against an established gold standard Batista, Diana Plácido da Silva, Hugo Fred, Ana Moreira, Carlos Reis, Margarida Ferreira, Hugo Alexandre Healthc Technol Lett Article The low-cost multimodal platform BITalino is being increasingly used for educational and research purposes. However, there is still a lack of well-structured work comparing data acquired by this toolkit against a reference device, using established experimental protocols. This work intends to fill the said gap by benchmarking the performance of BITalino against the BioPac MP35 Student Lab Pro device. This work followed a methodical experimental protocol to acquire data from the two devices simultaneously. Four physiological signals were acquired: electrocardiography, electromyography, electrodermal activity and electroencephalography. Root mean square error and coefficient of determination were computed to analyse differences between BITalino and BioPac. Electrodermal activity signals were very similar for the two devices, even without applying any major signal processing techniques. For electrocardiography, a simple morphological comparison also revealed high similarity between devices, and this similarity increased after a common segmentation procedure was followed. Regarding electromyography and electroencephalography data, the approach consisted of comparing features extracted using common post-processing methods. The differences between BITalino and BioPac were again small. Overall, the results presented here show a close similarity between data acquired by the BITalino and by the reference device. This is an important validation step for all researchers working with this multimodal platform. The Institution of Engineering and Technology 2019-03-21 /pmc/articles/PMC6498399/ /pubmed/31119036 http://dx.doi.org/10.1049/htl.2018.5037 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
spellingShingle | Article Batista, Diana Plácido da Silva, Hugo Fred, Ana Moreira, Carlos Reis, Margarida Ferreira, Hugo Alexandre Benchmarking of the BITalino biomedical toolkit against an established gold standard |
title | Benchmarking of the BITalino biomedical toolkit against an established gold standard |
title_full | Benchmarking of the BITalino biomedical toolkit against an established gold standard |
title_fullStr | Benchmarking of the BITalino biomedical toolkit against an established gold standard |
title_full_unstemmed | Benchmarking of the BITalino biomedical toolkit against an established gold standard |
title_short | Benchmarking of the BITalino biomedical toolkit against an established gold standard |
title_sort | benchmarking of the bitalino biomedical toolkit against an established gold standard |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6498399/ https://www.ncbi.nlm.nih.gov/pubmed/31119036 http://dx.doi.org/10.1049/htl.2018.5037 |
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