January 15, 2013IEEE Transactions on Instrumentation and Measurement

Robust Extraction of Respiratory Activity From PPG Signals Using Modified MSPCA

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Structured PICO

Population

15 healthy subjects and recordings from the MIMIC database of Physionet archive

Intervention

Modified multi scale principal component analysis (MMSPCA) algorithm

Comparator

Conventional MSPCA-based method and originally recorded respiratory signals using classical method

Outcome

Extraction of respiratory activity from PPG signals in the presence of motion artifactssurrogate

The proposed MMSPCA algorithm successfully extracts respiratory signals from PPG data even in the presence of severe motion artifacts, outperforming conventional methods.

Discussion

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Implication

May enhance motion-robust respiratory monitoring from PPG; leaves open validation in clinical populations.

Cite This Study

Madhav et al. (2013) studied this question.

synapsesocial.com/papers/6a250dc9c260bb97b2b9f4b0 https://doi.org/10.1109/tim.2012.2232393

View Full Paper

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Robust Extraction of Respiratory Activity From PPG Signals Using Modified MSPCA

Structured PICO

Discussion

Implication

Cite This Study

Robust Extraction of Respiratory Activity From PPG Signals Using Modified MSPCA

Structured PICO

Discussion

Implication

Cite This Study

Also Consider

Also Consider