Evidence map›Paper›PMID 9353988›Full record

ArticleIEEE transactions on bio-medical engineering1997

Spectral decomposition in multichannel recordings based on multivariate parametric identification.

G Baselli, A Porta, O Rimoldi, M Pagani, S Cerutti

Registry-linked trialAbstract read
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In one paragraph

Article in IEEE transactions on bio-medical engineering, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06286878 (Pleiotropic Effects of Dapagliflozin in Patients With Acute Coronary Syndromes), which is not on this map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

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.

NCT06286878 phase2 / phase3recruitingstarted 2021, after this paper: background citation

Pleiotropic Effects of Dapagliflozin in Patients With Acute Coronary Syndromes

Ran2021Enrolled80Registered outcomes4Posted comparisons0ConditionsAcute Coronary Syndrome, Diabetes, Myocardial Infarction, Ventricular DysfunctionArmsdapagliflozin, Placebo
Open the trial in the graph
3 · Its place in the literature

Who cites it

48 citing papers in PubMed.

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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

5 authors.

G BaselliDip. di Elettronica per l'Automazione, Università di Brescia, Italy. baselli@bsing.ing.unibs.it
A Porta
O Rimoldi
M Pagani
S Cerutti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A method of spectral decomposition in multichannel recordings is proposed, which represents the results of multivariate (MV) parametric identification in terms of classification and quantification of different oscillating mechanisms. For this purpose, a class of MV dynamic adjustment (MDA) models in which a MV autoregressive (MAR) network of causal interactions is fed by uncorrelated autoregressive (AR) processes is defined. Poles relevant to the MAR network closed-loop interactions (cl-poles) and poles relevant to each AR input are disentangled and accordingly classified. The autospectrum of each channel can be divided into partial spectra each relevant to an input. Each partial spectrum is affected by the cl-poles and by the poles of the corresponding input; consequently, it is decomposed into the relevant components by means of the residual method. Therefore, different oscillating mechanisms, even at similar frequencies, are classified by different poles and quantified by the corresponding components. The structure of MDA models is quite flexible and can be adapted to various sets of available signals and a priori hypotheses about the existing interactions; a graphical layout is proposed that emphasizes the oscillation sources and the corresponding closed-loop interactions. Application examples relevant to cardiovascular variability are briefly illustrated.

Indexed as

Models, CardiovascularSignal Processing, Computer-AssistedAlgorithmsAnimalsBlood PressureBlood Pressure DeterminationComputer GraphicsDogsElectromyographyFeedbackHeart RateLeast-Squares AnalysisLinear ModelsMultivariate AnalysisRespirationStochastic Processes

Identifiers

PMID9353988

What Socratic holds

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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 Socratic graph.