Data Visualization as Documentary Form: The Murmur of Digital Magnitude

T Takahashi - Discourse, 2017 - JSTOR
The murmur thus exceeds the human as a speaking category, … the murmur as the inarticulate
underside of the authoritative voice-over, we note that quite often in documentary film the

The CirCor DigiScope dataset: from murmur detection to murmur classification

J Oliveira, F Renna, PD Costa… - IEEE journal of …, 2021 - ieeexplore.ieee.org
… Note that, in order to manage the organization of public data challenges on murmur grading
and … The procedure of data gathering and the properties of the dataset are detailed in the

Beyond heart murmur detection: automatic murmur grading from phonocardiogram

A Elola, E Aramendi, J Oliveira, F Renna… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
… a description of the method, a simple data visualization, data preprocessing steps, an
elaboration of the classification model, a final decision rule for murmur grading, and the evaluation …

Automated identification of innocent still's murmur in children

S Kang, R Doroshow, J McConnaughey… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
data including a high number of innocent murmurs (87 cases, 34%) compared with prior
studies (0–48 cases, 0–14%) is used. This paper also builds on thethe ground truth data for …

A method for the computational modeling of the physics of heart murmurs

JH Seo, H Bakhshaee, G Garreau, C Zhu… - Journal of …, 2017 - Elsevier
… of heart murmurs, and this forms the primary motivation for the present study. In the current
paper, we present a … With M data points, the coefficients c ijk can be determined by minimizing …

Murmur‐adaptive compression technique for phonocardiogram signals

S Kim, D Hwang - Electronics Letters, 2016 - Wiley Online Library
… As the need for constant monitoring of bio-signals increases, the amount of bio-signal data
also increases, therefore an efficient compression method for specific bio-signals should be …

[PDF][PDF] Classification of normal and murmur hearts sound using the fractal method

R Komalasari, A Rizal, FY Suratman - International Journal, 2020 - researchgate.net
murmurs and normal heart sounds using the fractal dimension as feature extraction method
and KNN as the … This research used N = 3, where the input data were then divided into three …

[HTML][HTML] Correlation between Murmurs and Echocardiographic Findings; From an Imaging Cardiologist Point of View

S Saeed, AM Ali, D Wasim, I Risnes… - Current Problems in …, 2023 - Elsevier
murmurs; (2) describe the current referral practice of murmur patients for TTE and highlight
Data Availability Statement The data that support the findings of this study are available …

Phonocardiographic Murmur Detection by Scattering-Recurrent Networks

PA Warrick, J Afilalo - 2022 Computing in Cardiology (CinC), 2022 - ieeexplore.ieee.org
… Our team “PAWPCG” obtained an official score on the hidden test data of 0.637 for weighted
accuracy on murmur classification (rank: 27 of 40 teams) and a clinical outcome cost of …

Heart murmur detection using supervised machine learning

SH Moulana, A Luqman, R Abdulghafor… - … on Perceptive and …, 2022 - journals.iium.edu.my
… detect murmurs without having close contact with the patient. In this research we are taking
data … After modeling and exploring the data, we can conclude the Results of this research that …