Evidence map›Paper›PMID 36298048›Full record

ArticleSensors (Basel, Switzerland)2022

A Simplified Correlation Index for Fast Real-Time Pulse Shape Recognition.

Andres Cicuttin, Iván René Morales, Maria Liz Crespo, Sergio Carrato, Luis Guillermo García, Romina Soledad Molina, Bruno Valinoti, Jerome Folla Kamdem

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Andres CicuttinMultidisciplinary Laboratory, The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.ORCID 0000-0002-3645-9791
Iván René MoralesMultidisciplinary Laboratory, The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.ORCID 0000-0002-0975-6117
Maria Liz CrespoMultidisciplinary Laboratory, The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.ORCID 0000-0002-5483-3388
Sergio CarratoDipartimento di Ingegneria e Architettura, Università degli Studi di Trieste (UNITS), 34127 Trieste, Italy.ORCID 0000-0003-2953-8886
Luis Guillermo GarcíaMultidisciplinary Laboratory, The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.ORCID 0000-0003-0712-413X
Romina Soledad MolinaMultidisciplinary Laboratory, The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.ORCID 0000-0001-7688-6248
Bruno ValinotiMultidisciplinary Laboratory, The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.ORCID 0000-0002-3063-005X
Jerome Folla KamdemMultidisciplinary Laboratory, The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.ORCID 0000-0001-7010-8349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simplified correlation index is proposed to be used in real-time pulse shape recognition systems. This index is similar to the classic Pearson's correlation coefficient, but it can be efficiently implemented in FPGA devices with far fewer logic resources and excellent performance. Numerical simulations with synthetic data and comparisons with the Pearson's correlation show the suitability of the proposed index in applications such as the discrimination and counting of pulses with a predefined shape. Superior performance is evident in signal-to-noise ratio scenarios close to unity. FPGA implementation of Person's method and the proposed correlation index have been successfully tested and the main results are summarized.

Indexed as

AlgorithmsSignal Processing, Computer-AssistedComputer SystemsHumansRecognition, PsychologySignal-To-Noise Ratiocorrelationdigital pulse processingdigital signal processingFPGAhardware algorithmsnoise reductionpattern recognitionpulse countingpulse shape recognitionSoC

Identifiers

PMID36298048
PMCPMC9607046

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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.