Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Gholamreza Attarodi"'
Autor:
Gholamreza Attarodi, Mehdi Eslamizadeh, Nader Jafarnia Dabanloo, Javid Farhadi Sedehi, Mehrdad Mohandespoor
Publikováno v:
CinC
In this paper, a level set method (LSM) with the aim of segmenting lumen and non-lumen pixels and Hidden Markov Random Field (HMRF) with the purpose of computing boundaries of lumen are proposed. This proposed methods was evaluated on IVUS images of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5234df92bef9e8e63a80a28ed8738450
https://doi.org/10.22489/cinc.2018.012
https://doi.org/10.22489/cinc.2018.012
Autor:
Mehdi Eslamizadeh, Javid Farhadi, Gholamreza Attarodi, Nader Jafarnia Dabanloo, Mehrdad Mohandespoor
Publikováno v:
CinC
In this paper, a combination of deep learning method called stacked auto encoder with the aim of classifying atrial fibrillation (AF) is utilized. An electrocardiogram (ECG) signals from MIT-BIH database are used and spectral, time and non-linear fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8654e63656beb53878513d2465c3673a
https://doi.org/10.22489/cinc.2018.011
https://doi.org/10.22489/cinc.2018.011
Autor:
Asghar Tareh, Sahar Matla Nikooei, Nader Jafarnia Dabanloo, Parvin Pourmasoumi, Gholamreza Attarodi
Publikováno v:
CinC
As we may find in news related to road fatalities, we see more or less one third of these fatalities are because of drowsy driving or fatigue of drivers. Many researchers had investigations in detection of drowsiness of the drivers using biological s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12b1a2fc3f377b544dd78bca342bca32
https://doi.org/10.22489/cinc.2018.014
https://doi.org/10.22489/cinc.2018.014
Publikováno v:
CinC
In this paper, a new method is presented for nonlinear processing and classification of congenital heart valve-septum diseases in neonates. Two main groups of congenital heart diseases in neonates are aortic valve stenosis, and inter-ventricular sept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d143410b0f9878cac026558b0a9e42ea
https://doi.org/10.22489/cinc.2017.083-290
https://doi.org/10.22489/cinc.2017.083-290
Autor:
Gholamreza Attarodi, Seyed Kamaledin Setarehdan, Mehdi Eslamizadeh, Javid Farhadi Sedehi, Nader Jafarnia Dabanloo
Publikováno v:
CinC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e54fe9daa8cb4914245c73922fc7b6d7
https://doi.org/10.22489/cinc.2017.288-285
https://doi.org/10.22489/cinc.2017.288-285
Autor:
Pegah Derakhshan Mehr, Nazanin Hemmati, Keivan Maghooli, Gholamreza Attarodi, Nader Jafarnia Dabanloo
Publikováno v:
CinC
Our aim in this study was to diagnose aortic valve stenosis from PCG signals using methods of converting the wavelet packet and statistical parameters. For categorization of three subcategories, K-nearest neighbor and multi-layer perceptron were used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d261ed2f077d95e718584b4a04bcb0a
https://doi.org/10.22489/cinc.2017.084-296
https://doi.org/10.22489/cinc.2017.084-296
Autor:
Nader Jafarnia Dabanloo, Gholamreza Attarodi, Asghar Dabiri Aghdam, Mohammad Sattari, Nazanin Hemmati
Publikováno v:
CinC
This paper presents a new intelligent control algorithm using Anfis (Adaptive neuro fuzzy inference system) for new generation of Cardiac Pacemakers. Anfis uses both merits of Fuzzy and Neural networks (Learning and speed). Based on various states of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08c0eda14f3b998cb9b336ab142ee706
https://doi.org/10.22489/cinc.2017.110-367
https://doi.org/10.22489/cinc.2017.110-367
Publikováno v:
Journal of Biomedical Science and Engineering. :818-824
In this paper we used two new features i.e. T-wave integral and total integral as extracted feature from one cycle of normal and patient ECG signals to detection and localization of myocardial infarction (MI) in left ventricle of heart. In our previo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35db7267b762b14f2e03688c758d9424
https://doi.org/10.4236/jbise.2014.710081
https://doi.org/10.4236/jbise.2014.710081