How Nonlinear-Type Time-Frequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way.
Abstract
Despite the population of the noninvasive, economic, comfortable, and easy-to-install
photoplethysmography (PPG), it is still lacking a mathematically rigorous and stable
algorithm which is able to simultaneously extract from a single-channel PPG signal
the instantaneous heart rate (IHR) and the instantaneous respiratory rate (IRR). In
this paper, a novel algorithm called deppG is provided to tackle this challenge. deppG
is composed of two theoretically solid nonlinear-type time-frequency analyses techniques,
the de-shape short time Fourier transform and the synchrosqueezing transform, which
allows us to extract the instantaneous physiological information from the PPG signal
in a reliable way. To test its performance, in addition to validating the algorithm
by a simulated signal and discussing the meaning of "instantaneous," the algorithm
is applied to two publicly available batch databases, the Capnobase and the ICASSP
2015 signal processing cup. The former contains PPG signals relative to spontaneous
or controlled breathing in static patients, and the latter is made up of PPG signals
collected from subjects doing intense physical activities. The accuracies of the estimated
IHR and IRR are compared with the ones obtained by other methods, and represent the
state-of-the-art in this field of research. The results suggest the potential of deppG
to extract instantaneous physiological information from a signal acquired from widely
available wearable devices, even when a subject carries out intense physical activities.
Type
Journal articleSubject
de-shape short time Fourier transformde-shape synchrosqueezing transform
instantaneous heart rate
instantaneous respiratory rate
photoplethysmography
Permalink
https://hdl.handle.net/10161/15905Published Version (Please cite this version)
10.3389/fphys.2017.00701Publication Info
Cicone, Antonio; & Wu, Hau-Tieng (2017). How Nonlinear-Type Time-Frequency Analysis Can Help in Sensing Instantaneous Heart
Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way.
Front Physiol, 8. pp. 701. 10.3389/fphys.2017.00701. Retrieved from https://hdl.handle.net/10161/15905.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Hau-Tieng Wu
Professor of Mathematics

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