November 18, 2016IEEE Transactions on Biomedical Engineering378 citationsOpen Access

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters

MPMarco A. F. Pimentel AJAlistair E. W. Johnson PCPeter Charlton

Structured PICO

Intervention

Algorithm development for respiratory rate estimation from pulse oximeters using large publicly available datasets

Outcome

Robustness of wearable-monitoring algorithms

Large publicly available datasets are essential for developing robust wearable-monitoring algorithms for clinical use.

Abstract

This work demonstrates that the use of large publicly available datasets is essential for improving the robustness of wearable-monitoring algorithms for use in clinical practice.

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Pimentel et al. (2016) studied this question.

synapsesocial.com/papers/69d6c79d639f29d8dcab31ff https://doi.org/10.1109/tbme.2016.2613124

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November 18, 2016IEEE Transactions on Biomedical Engineering378 citationsOpen Access

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters

MPMarco A. F. Pimentel AJAlistair E. W. Johnson PCPeter Charlton

Structured PICO

Intervention

Algorithm development for respiratory rate estimation from pulse oximeters using large publicly available datasets

Outcome

Robustness of wearable-monitoring algorithms

Large publicly available datasets are essential for developing robust wearable-monitoring algorithms for clinical use.

Abstract

This work demonstrates that the use of large publicly available datasets is essential for improving the robustness of wearable-monitoring algorithms for use in clinical practice.

Ask AI

Helpful

Bookmark

View Full Paper

Cite This Study

Pimentel et al. (2016) studied this question.

synapsesocial.com/papers/69d6c79d639f29d8dcab31ff https://doi.org/10.1109/tbme.2016.2613124

Ask AI

Helpful

Bookmark

View Full Paper