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November 9, 2019Biomedical Signal Processing and ControlOpen Access

A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences

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Key result

Smartphone-based photoplethysmography showed good agreement with ECG for measuring HRV indices (NN, SDNN, RMSSD) with a standard deviation of error around 5.4 ms, but insufficient for LF/HF.

Why the study?

Does smartphone-based photoplethysmography accurately measure heart rate variability compared to ECG in healthy subjects?

Comparison

Smartphone camera photoplethysmography vs ECG and an external PPG sensor

Design

Validation study across two smartphone models and three breathing conditions

Authors

FGFederico Guede-FernándezUniversity of LisbonVFV. Ferrer-MileoMMMarc Mateu-MateusUniversitat Politècnica de Catalunya

Discussion

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Overview

Smartphone SPPG may enable accessible HR/HRV tracking in healthy adults; leaves open validation in clinical populations before practice adoption.

Study Design

Type

Observational (n=23)

Structured PICO

Does smartphone-based photoplethysmography accurately measure heart rate variability compared to ECG in healthy subjects?

P
Population
23 healthy subjects measured using two different smartphone models in three different breathing conditions.
E
Exposure
Smartphone-based photoplethysmography (SPPG) using the smartphone camera
C
Comparator
Electrocardiogram (ECG) as gold standard and an external PPG sensor
O
Outcome
Agreement and error between SPPG and ECG for heart rate variability (HRV) indices (NN, SDNN, RMSSD, LF/HF)surrogate

Main Result

Effect estimate: SDE 5.4 ms

Smartphone-based photoplethysmography can accurately measure time-domain heart rate variability indices (NN, SDNN, RMSSD) but is insufficient for frequency-domain (LF/HF) analysis.

Cite This Study

Guede-Fernández et al. (2019) conducted an observational in Healthy (n=23). Smartphone-based photoplethysmography (SPPG) vs. Electrocardiogram (ECG) was evaluated on Standard deviation of error (SDE) between SPPG and ECG (SDE 5.4 ms). Smartphone-based photoplethysmography showed good agreement with ECG for measuring HRV indices (NN, SDNN, RMSSD) with a standard deviation of error around 5.4 ms, but insufficient for LF/HF.

synapsesocial.com/papers/6a9a4d958fdb2eaad045bdc8https://doi.org/10.1016/j.bspc.2019.101717
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Also Consider

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

  1. 1Extraction of Heart Rate Variability from Smartphone Photoplethysmograms2015 · 154 citations
  2. 2Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera2018 · 71 citations
  3. 3Validation of Photoplethysmography Using a Mobile Phone Application for the Assessment of Heart Rate Variability in the Context of Heart Rate Variability–Biofeedback2023 · 15 citations
  4. 4Smartphone PPG: signal processing, quality assessment, and impact on HRV parameters2019 · 18 citations
  5. 5Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach2020 · 29 citations