MSc B. Abdikivanani

PhD student
Circuits and Systems (CAS), Department of Microelectronics

Expertise: Biomedical signal processing

Themes: Health and Wellbeing

Biography

Bahareh Abdi received her MSc degree from University of Tehran, Iran in 2015. She is currently a PhD student at CAS, working on the STW AFFIP project in collaboration with Erasmus Medical Center. The goal of this project is to develop signal processing models and algorithms for detecting atrium fibrillation conditions in patients.

Earlier recognition of cardiovascular diseases

Atrial Fibrillation FIngerPrinting: Spotting Bio-Electrical Markers to Early Recognize Atrial Fibrillation by the Use of a Bottom-Up Approach

  1. A Compact Matrix Model for Atrial Electrograms for Tissue Conductivity Estimation
    Bahareh Abdikivanani; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    Computers in Biology and Medicine,
    Volume 107, pp. 284-291, April 2019. DOI: 10.1016/j.compbiomed.2019.02.012
    document

  2. A Simplified Atrial Electrogram Model for Tissue Conductivity Estimation
    Bahareh Abdikivanani; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    In 7th Dutch Bio-Medical Engineering Conference (Book of abstracts),
    Egmond aan Zee (Netherlands), January 2019.

  3. Ventricular Activity Signal Removal in Atrial Electrograms of Atrial Fibrillation
    Bahareh Abdikivanani; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    In Biosignals,
    Prague (Czech Republic), pp. 179-184, February 2019. DOI: 10.5220/0007388901790184
    document

  4. Local Activation Time Estimation in Fractionated Electrograms of Cardiac Mappings
    Bahareh Abdikivanani; Alle-Jan van der Veen; Natasja de Groot; Richard C. Hendriks;
    In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
    pp. 285-288, 2019. ISBN: 978-1-5386-1312-2. DOI: 10.1109/EMBC.2019.8856683
    document

BibTeX support

Last updated: 22 Mar 2018