April 10, 2018Biomedical Physics & Engineering ExpressOpen Access

Pulse rate estimation using imaging photoplethysmography: generic framework and comparison of methods on a publicly available dataset

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Population

DEAP dataset containing facial videos and reference contact photoplethysmograms

Comparison

Pulse rate estimation using continuous wavelet… vs Other methods of pulse rate estimation from…

Design

Other

Authors

AUAnton M. UnakafovIBM (Germany)

Discussion

Member takes

Implication

Provides benchmark framework for iPPG methods; leaves open clinical validation against reference monitors.

Structured PICO

Population

DEAP dataset containing facial videos and reference contact photoplethysmograms

Intervention

Pulse rate estimation using continuous wavelet transform from imaging photoplethysmography (iPPG) extracted by the POS method

Comparator

Other methods of pulse rate estimation from facial video

Outcome

Assessment precision (mean absolute error of pulse rate estimation)surrogate

The POS method combined with continuous wavelet transform provides highly precise pulse rate estimation from facial videos, with an error of less than 2 bpm.

Cite This Study

Anton M. Unakafov (2018) studied this question.

synapsesocial.com/papers/6a7053fa78a11c550e0a32bb https://doi.org/10.1088/2057-1976/aabd09

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Pulse rate estimation using imaging photoplethysmography: generic framework and comparison of methods on a publicly available dataset

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Pulse rate estimation using imaging photoplethysmography: generic framework and comparison of methods on a publicly available dataset

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider