HeartPy: A novel heart rate algorithm for the analysis of noisy signals

HeartPy: A novel heart rate algorithm for the analysis of noisy signals

van Gent, P. (TU Delft Transport and Planning)
Farah, H. (TU Delft Transport and Planning)
van Nes, Nicole (Stichting Wetenschappelijk Onderzoek Verkeersveiligheid (SWOV))
van Arem, B. (TU Delft Transport and Planning)

2019

Heart rate data are often collected in human factors studies, including those into vehicle automation. Advances in open hardware platforms and off-the-shelf photoplethysmogram (PPG) sensors allow the non-intrusive collection of heart rate data at very low cost. However, the signal is not trivial to analyse, since the morphology of PPG waveforms differs from electrocardiogram (ECG) waveforms and shows different noise patterns. Few validated open source available algorithms exist that handle PPG data well, as most of these algorithms are specifically designed for ECG data.

In this paper we present the validation of a novel algorithm named HeartPy, useful for the analysis of heart rate data collected in noisy settings, such as when driving a car or when in a simulator. We benchmark the performance on two types of datasets and show that the developed algorithm performs well. Further research steps are discussed.

Heart rate analysis
Human factors
Open source
Physiological signals
Signal analysis

http://resolver.tudelft.nl/uuid:38a235a4-d127-45c4-8436-b6ba961991dc

https://doi.org/10.1016/j.trf.2019.09.015

2020-04-04

1369-8478

Transportation Research. Part F: Traffic Psychology and Behaviour, 66, 368-378

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2019 P. van Gent, H. Farah, Nicole van Nes, B. van Arem