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This is a Observational study (also classified as: In Vitro Study).

August 19, 2025SensorsOpen Access

Comparison of Techniques for Respiratory Rate Extraction from Electrocardiogram and Photoplethysmogram

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Comparison of respiratory rate extraction methods from ECG and PPG datasets, indicating ECG's superior reliability.

ECG-derived signals provided a lower mean absolute error of 0.99 breaths/min, compared to PPG's higher error rates.
Analysis from datasets iAMwell and Capnobase highlighted ECG's higher reliability for respiratory rate estimation.
Methodology involved extracting respiratory rate features from ECG and PPG signals to assess accuracy and variability.
Findings support using ECG features for continuous respiration monitoring in clinical settings, with implications for detecting health conditions.

Ponsiglione et al. (2025) studied this question.

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