Evidence map›Paper›PMID 34202597›Full record

ArticleSensors (Basel, Switzerland)2021

Coherence between Decomposed Components of Wrist and Finger PPG Signals by Imputing Missing Features and Resolving Ambiguous Features.

Pei-Yun Tsai, Chiu-Hua Huang, Jia-Wei Guo, Yu-Chuan Li, An-Yeu Andy Wu, Hung-Ju Lin, Tzung-Dau Wang

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05725148 (Prospective, Single-center, Single Group, Pivotal Clinical Trial to Evaluate the Blood Pressure Accuracy of 'CART-I Plus' Compared to the Reference Blood Pressure Reading With an Auscultatory Sphygmomanometer), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05725148 nacompletednot on this mapstarted 2022, after this paper: background citation

Prospective, Single-center, Single Group, Pivotal Clinical Trial to Evaluate the Blood Pressure Accuracy of 'CART-I Plus' Compared to the Reference Blood Pressure Reading With an Auscultatory Sphygmomanometer

TypeinterventionalSponsorSky LabsRan2022 to 2022Enrolled100ConditionsBlood Pressure, Hypertension, HypotensionArmsCART-I plus
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Pei-Yun TsaiDepartment of Electrical Engineering, National Central University, Taoyuan 320317, Taiwan.ORCID 0000-0002-6088-3875
Chiu-Hua HuangDepartment of Electrical Engineering, National Central University, Taoyuan 320317, Taiwan.
Jia-Wei GuoDepartment of Electrical Engineering, National Central University, Taoyuan 320317, Taiwan.
Yu-Chuan LiDepartment of Electrical Engineering, National Central University, Taoyuan 320317, Taiwan.
An-Yeu Andy WuGraduate Institute of Electronics Engineering, National Taiwan University, Taipei 106319, Taiwan.ORCID 0000-0003-4731-8633
Hung-Ju LinCardiovascular Center, Department of Internal Medicine, Division of Cardiology, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0000-0003-2449-9072
Tzung-Dau WangCardiovascular Center, Department of Internal Medicine, Division of Cardiology, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0000-0002-7180-3607
National Central University · TWNational Taiwan University Hospital · TWNational Taiwan University · TW

Funding

MediaTek Inc. MTKC-2019-0100
6 · The paper itself

Abstract

backgroundFeature extraction from photoplethysmography (PPG) signals is an essential step to analyze vascular and hemodynamic information. Different morphologies of PPG waveforms from different measurement sites appear. Various phenomena of missing or ambiguous features exist, which limit subsequent signal processing.

methodsThe reasons that cause missing or ambiguous features of finger and wrist PPG pulses are analyzed based on the concept of component waves from pulse decomposition. Then, a systematic approach for missing-feature imputation and ambiguous-feature resolution is proposed.

resultsFrom the experimental results, with the imputation and ambiguity resolution technique, features from 35,036 (98.7%) of 35,502 finger PPG cycles and 36307 (99.1%) of 36,652 wrist PPG cycles can be successfully identified. The extracted features became more stable and the standard deviations of their distributions were reduced. Furthermore, significant correlations up to 0.92 were shown between the finger and wrist PPG waveforms regarding the positions and widths of the third to fifth component waves.

conclusionThe proposed missing-feature imputation and ambiguous-feature resolution solve the problems encountered during PPG feature extraction and expand the feature availability for further processing. More intrinsic properties of finger and wrist PPG are revealed. The coherence between the finger and wrist PPG waveforms enhances the applicability of the wrist PPG.

Indexed as

PhotoplethysmographyWristFingersHeart RateSignal Processing, Computer-Assistedimputationmissing featurephotoplethysmography (PPG)pulse decomposition analysis (PDA)

Identifiers

PMID34202597
PMCPMC8271418
OpenAlexW3174199751

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.