How Nonlinear-Type Time-Frequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way

Overview

Journal Front Physiol

Date 2017 Oct 12

PMID 29018352

Citations 6

Authors

Antonio Cicone

Hau-Tieng Wu

Affiliations

Soon will be listed here.

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.

Citing Articles

Photoplethysmography-Based Respiratory Rate Estimation Algorithm for Health Monitoring Applications.

Iqbal T, Elahi A, Ganly S, Wijns W, Shahzad A J Med Biol Eng. 2022; 42(2):242-252.

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New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms.

Stallone A, Cicone A, Materassi M Sci Rep. 2020; 10(1):15161.

PMID: 32939024 PMC: 7495475. DOI: 10.1038/s41598-020-72193-2.

Photoplethysmography based atrial fibrillation detection: a review.

Pereira T, Tran N, Gadhoumi K, Pelter M, Do D, Lee R NPJ Digit Med. 2020; 3:3.

PMID: 31934647 PMC: 6954115. DOI: 10.1038/s41746-019-0207-9.

Inspiratory- and expiratory-gated transcutaneous vagus nerve stimulation have different effects on heart rate in healthy subjects: preliminary results.

Paleczny B, Seredynski R, Ponikowska B Clin Auton Res. 2019; 31(2):205-214.

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Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions.

Jarchi D, Salvi D, Tarassenko L, Clifton D Sensors (Basel). 2018; 18(11).

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