Evidence map›Paper›PMID 34945735›Full record

ArticleJournal of personalized medicine2021

A First Step towards a Comprehensive Approach to Harmonic Analysis of Synchronous Peripheral Volume Pulses: A Proof-of-Concept Study.

Hsien-Tsai Wu, Bagus Haryadi, Jian-Jung Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 32% 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.

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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Peripheral pulse harmonic analysis and its clinical application: A systematic review.Journal of traditional and complementary medicine · 2024
    Article
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

3 authors at 3 institutions in 2 countries.

Hsien-Tsai WuDepartment of Electrical Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd., Hualien 97401, Taiwan.ORCID 0000-0002-2581-9384
Bagus HaryadiDepartment of Electrical Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd., Hualien 97401, Taiwan.ORCID 0000-0002-5614-7576
Jian-Jung ChenTaichung Tzuchi Hospital, The Buddhist Tzuchi Medical Foundation, Taichung 42743, Taiwan.ORCID 0000-0002-5229-3701
National Dong Hwa University · TWTzu Chi University · TWUniversitas Ahmad Dahlan · ID

Funding

the Ministry of Science and Technology, Taiwan MOST 104- 2221-E-259-014, and MOST 105-2221-E259-007
6 · The paper itself

Abstract

The harmonic analysis (HA) of arterial radial pulses in humans has been widely investigated in recent years for clinical applications of traditional Chinese medicine. This study aimed at establishing the validity of carrying out HA on synchronous peripheral volume pulses for predicting diabetes-induced subtle changes in heart energy. In this study, 141 subjects (Group 1: 63 healthy elderly subjects; Group 2: 78 diabetic subjects) were enrolled at the same hospital. After routine blood sampling, all synchronous electrocardiogram (ECG) and photoplethysmography (PPG) measurements (i.e., at the six locations) were acquired in the morning. HA of synchronous peripheral volume pulses and radial pulse waves was performed and analyzed after a short period of an ensemble averaging process based on the R-wave peak location. This study utilized HA for the peripheral volume pulses and found that the averaged total pulse energy (i.e., the C

Indexed as

averaged total pulse energydigital volume pulsediscrete-time Fourier series (DTFS)harmonic analysisperipheral volume pulsephotoplethysmography (PPG)radial arterial waveform

Identifiers

PMID34945735
PMCPMC8707287
OpenAlexW3215535010

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.