Key result
A new database comprising 48 10-second smartphone PPG recordings and reference ECGs from 12 subjects was created to evaluate signal quality and heart rate estimation.
Why the study?
There was no publicly available annotated database of photoplethysmographic (PPG) signals recorded by smartphone for evaluating signal quality and estimating heart rate.
The BUT PPG database provides a publicly available, annotated dataset of smartphone-recorded PPG signals to facilitate the development of heart rate estimation and signal quality assessment algorithms.
Supports smartphone PPG algorithm development; should not yet change clinical practice.
To the best of our knowledge, there is no annotated database of PPG signals recorded by smartphone publicly available. This article introduces Brno University of Technology Smartphone PPG Database (BUT PPG) which is an original database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating photoplethysmographic (PPG) signal quality and estimation of heart rate (HR). The data comprises 48 10-second recordings of PPGs and associated electrocardiographic (ECG) signals used for determination of reference HR. The data were collected from 12 subjects (6 female, 6 male) aged between 21 and 61. PPG data were collected by smartphone Xiaomi Mi9 with sampling frequency of 30 Hz. Reference ECG signals were recorded using a mobile ECG recorder (Bittium Faros 360) with a sampling frequency of 1,000 Hz. Each PPG signal includes annotation of quality created manually by biomedical experts and reference HR. PPG signal quality is indicated binary: 1 indicates good quality for HR estimation, 0 indicates signals where HR cannot be detected reliably, and thus, these signals are unsuitable for further analysis. As the only available database containing PPG signals recorded by smartphone, BUT PPG is a unique tool for the development of smart, user-friendly, cheap, on-the-spot, self-home-monitoring of heart rate with the potential of widespread using.
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Němcová et al. (2021) studied this question. Smartphone PPG recording vs. Reference ECG was evaluated on PPG signal quality and estimation of heart rate. A new database comprising 48 10-second smartphone PPG recordings and reference ECGs from 12 subjects was created to evaluate signal quality and heart rate estimation.
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