Evidence map›Paper›PMID 35047923›Full record

ArticleFrontiers in medical technology2021

FPGA-Based High-Performance Phonocardiography System for Extraction of Cardiac Sound Components Using Inverse Delayed Neuron Model.

Madhubabu Anumukonda, Prasadraju Lakkamraju, Shubhajit Roy Chowdhury

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medical technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Madhubabu AnumukondaCenter for Very Large Scale Integration and Embedded Systems Technology, International Institute of Information Technology Hyderabad, Hyderabad, India.
Prasadraju LakkamrajuCenter for Very Large Scale Integration and Embedded Systems Technology, International Institute of Information Technology Hyderabad, Hyderabad, India.
Shubhajit Roy ChowdhurySchool for Computing and Electrical Engineering, Indian Institute of Technology Mandi, Suran, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study focuses on the extraction of cardiac sound components using a multi-channel micro-electromechanical system (MEMS) microphone-based phonocardiography system. The proposed multi-channel phonocardiography system classifies the cardiac sound components using artificial neural networks (ANNs) and synaptic weights that are calculated using the inverse delayed (ID) function model of the neuron. The proposed ANN model was simulated in MATLAB

Indexed as

artificial neural networkscardiac soundsfield programmable gate arrayinverse delayed function model of neuronphonocardiography

Identifiers

PMID35047923
PMCPMC8757846

What OpenQuestion holds

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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.