Open Science Research Excellence

ICCA 2020 : International Conference on Cardiac Arrhythimas

London, United Kingdom
October 22 - 23, 2020

Conference Code: 20UK10ICCA

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICCA 2020 has teamed up with the Special Journal Issue on Cardiac Arrhythimas. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   June 15, 2020
Notification of Acceptance/Rejection   June 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   September 22, 2020
Conference Dates   October 22 - 23, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Wavelet-Based Classification of Myocardial Ischemia, Arrhythmia, Congestive Heart Failure and Sleep Apnea
Santanu Chattopadhyay, Gautam Sarkar, Arabinda Das
2) Electromyography Pattern Classification with Laplacian Eigenmaps in Human Running
Elnaz Lashgari, Emel Demircan
3) Sparse Coding Based Classification of Electrocardiography Signals Using Data-Driven Complete Dictionary Learning
Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, Hadri Hussain, Syed Rasul
4) Determination of Myocardial Function Using Heart Accumulated Radiopharmaceuticals
C. C. D. Kulathilake, M. Jayatilake, T. Takahashi
5) Online Optic Disk Segmentation Using Fractals
Srinivasan Aruchamy, Partha Bhattacharjee, Goutam Sanyal
6) Image Analysis for Obturator Foramen Based on Marker-Controlled Watershed Segmentation and Zernike Moments
Seda Sahin, Emin Akata
7) Contrast-Enhanced Magnetic Resonance Angiography in Rats with Gadobenate Dimeglumine at 3T
Jo-Chi Jao, Yen-Ku Chen, Twei-Shiun Jaw, Po-Chou Chen
8) Angiographic Evaluation of ETT (Treadmill) Positive Patients in a Tertiary Care Hospital of Bangladesh
Syed Dawood Md. Taimur, Saidur Rahman Khan, Farzana Islam
9) Medical Imaging Techniques in Clinical Medicine
Sharan Badiger, Prema T. Akkasaligar
10) Image Clustering Framework for BAVM Segmentation in 3DRA Images: Performance Analysis
FH. Sarieddeen, R. El Berbari, S. Imad, J. Abdel Baki, M. Hamad, R. Blanc, A. Nakib, Y.Chenoune
11) New Echocardiographic Morphofunctional Diastolic Index (MFDI) in Differentiation of Normal Left Ventricular Filling from Pseudonormal and Restrictive
N. Nelasov, D. Safonov, M. Babaev, E. Mirzojan, O. Eroshenko, M. Morgunov, A. Erofeeva
12) Capacitive ECG Measurement by Conductive Fabric Tape
Yue-Der Lin, Ya-Hsueh Chien, Yen-Ting Lin, Shih-Fan Wang, Cheng-Lun Tsai, Ching-Che Tsai
13) Detecting Abnormal ECG Signals Utilising Wavelet Transform and Standard Deviation
Dejan Stantic, Jun Jo
14) Comparative Study of QRS Complex Detection in ECG
Ibtihel Nouira, Asma Ben Abdallah, Ibtissem Kouaja, Mohamed Hèdi Bedoui
15) Segmental and Subsegmental Lung Vessel Segmentation in CTA Images
H. Özkan

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