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July 1, 2019

Smartphone PPG: signal processing, quality assessment, and impact on HRV parameters

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Why the study?

Smartphone photoplethysmography (PPG) apps struggle with accuracy due to factors like device differences and motion artifacts, creating a need to estimate signal quality and predict bias in heart rate variability (HRV) parameters.

Design

Methodological development study

Authors

KTKonstantin TyapochkinESEvgeniya SmorodnikovaPPPavel Pravdin

Discussion

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Overview

May enable accessible smartphone HRV monitoring; leaves open prospective validation before clinical use.

Structured PICO

I
Intervention
Method for processing signal from smartphone cameras, estimating signal quality, recognizing RR intervals, and predicting bias of simple HRV parameters
O
Outcome
Signal quality and bias prediction of HRV parameters

The paper presents a methodological approach to improve the accuracy of heart rate variability estimation using smartphone photoplethysmography by assessing signal quality and predicting bias.

Cite This Study

Tyapochkin et al. (2019) studied this question.

synapsesocial.com/papers/6a0f9fe6e3460f6d4c1cd548https://doi.org/10.1109/embc.2019.8856540
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach2020 · 29 citations
  2. 2PPG-based Vital Signs Measurement Using SmartPhone Camera: Review2024 · 2 citations
  3. 3Extraction of Heart Rate Variability from Smartphone Photoplethysmograms2015 · 154 citations
  4. 4A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences2019 · 24 citations
  5. 5Adapting smartphone-based photoplethysmograpy to suboptimal scenarios2017 · 16 citations