Evidence map›Paper›PMID 38503856›Full record

ArticleScientific reports2024

Estimation of phase distortions of the photoplethysmographic signal in digital IIR filtering.

Denis G Lapitan, Dmitry A Rogatkin, Elizaveta A Molchanova, Andrey P Tarasov

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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  5. Vascular waveform analysis using Bayesian pulse deconvolution.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Denis G LapitanMoscow Regional Research and Clinical Institute ("MONIKI"), 129110, Moscow, Russia. lapitandenis@mail.ru.
Dmitry A RogatkinMoscow Regional Research and Clinical Institute ("MONIKI"), 129110, Moscow, Russia.
Elizaveta A MolchanovaMoscow Regional Research and Clinical Institute ("MONIKI"), 129110, Moscow, Russia.
Andrey P TarasovMoscow Regional Research and Clinical Institute ("MONIKI"), 129110, Moscow, Russia.

Funding

Russian Science Foundation 21-75-00037
6 · The paper itself

Abstract

Pre-processing of the photoplethysmography (PPG) signal plays an important role in the analysis of the pulse wave signal. The task of pre-processing is to remove noise from the PPG signal, as well as to transmit the signal without any distortions for further analysis. The integrity of the pulse waveform is essential since many cardiovascular parameters are calculated from it using morphological analysis. Digital filters with infinite impulse response (IIR) are widely used in the processing of PPG signals. However, such filters tend to change the pulse waveform. The aim of this work is to quantify the PPG signal distortions that occur during IIR filtering in order to select a most suitable filter and its parameters. To do this, we collected raw finger PPG signals from 20 healthy volunteers and processed them by 5 main digital IIR filters (Butterworth, Bessel, Elliptic, Chebyshev type I and type II) with varying parameters. The upper cutoff frequency varied from 2 to 10 Hz and the filter order-from 2nd to 6th. To assess distortions of the pulse waveform, we used the following indices: skewness signal quality index (S

Indexed as

Cardiovascular SystemFingersHeart RateHumansPhotoplethysmographySignal Processing, Computer-AssistedUpper Extremity

Identifiers

PMID38503856
PMCPMC10951216

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