Why the study?
There is a lack of well-structured work comparing data acquired by the low-cost multimodal platform BITalino against a reference device using established experimental protocols.
Does the BITalino biomedical toolkit provide physiological signals comparable to the BioPac MP35 Student Lab Pro device?
Does the BITalino biomedical toolkit provide physiological signals comparable to the BioPac MP35 Student Lab Pro device?
The low-cost BITalino biomedical toolkit provides physiological signal acquisitions (including ECG) that are highly similar to an established gold standard device, validating its use for research.
Supports low-cost biosignal research tools; leaves open clinical validation needs.
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.
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Batista et al. (2019) studied this question.
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