LinkedInZaida Cebrian
Zaida Cebrian

Zaida Cebrian

Project Engineer at Invensys Dimetronic Signals

Location
Madrid Area, Spain
Industry
Research
Current
  1. Siemens Rail Automation S.A.U.
Previous
  1. Tampere University of Technology,
  2. Aplicaziones de Telecomunicaciones y Telecontrol S.L.
Education
  1. Tampere University of Technology
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156connections

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156connections
Siemens Rail Automation S.A.U.

Siemens Rail Automation S.A.U.

Project Engineer

– Present

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Background

Experience

Project Engineer

Siemens Rail Automation S.A.U.
– Present (4 years 1 month)

Development and implantation of Train Control Center for Signaling operation for different international customers:
· Development in Java in Linux Environment using secure methodologies as ISA.
· Real time software
· Several communication interfaces and databases

Analisys of customer's specifications, product design, development and implantation.

Research assitant

Tampere University of Technology
(2 years 1 month)

Working on the development of cardiac activation models in a multidisplinary team and developing tools for the correct analysis of electrocardiac signals from cardiac stem cells recorded with multielectrode arrays (MEAs).
· Development in Matlab.
· Use of tools for treatment of MEA signals.
· Publication in journal and conference.

Intership

Aplicaziones de Telecomunicaciones y Telecontrol S.L.
(7 months)

Working with wireless and mobile networks. Analyzing VoIP networks.

Publications

Averaging in vitro cardiac field potential recordings obtained with microelectrode arrays

Computer Methods and Programs in Biomedicine
2011

Extracellular field potential (FP) recordings with microelectrode arrays (MEAs) from cardiomyocyte cultures offer a non-invasive way of studying the electrophysiological properties of these cells at the population level. Several studies have examined the FP properties of cardiomyocytes of various origins, including stem cell-derived cardiomyocytes. This focus reflects growing importance and interest in the field of MEA. High-quality cardiac FP signals are often difficult to obtain, especially from stem cell-derived cardiomyocyte cultures, which represent an important new field in cardiac electrophysiology. One way to improve the quality of these recordings is to average the cardiac FP signals. To date, however, no studies have examined the effect of averaging on cardiac FP signals. We report here that cardiac FP averaging can yield higher-quality signals than original individual FPs, and therefore promise more accurate detection of different phases and analysis of the cardiac FP signal. Averaged signals improved the signal-to-noise ratio (SNR), and obtaining reliable averages required approximately 50 cardiac cycles. We therefore propose that routine cardiac FP averaging can serve as a tool to compare the effects of different experimental conditions or stimuli on the properties of cardiac FPs.

Authors:

Languages

  1. English

    Full professional proficiency
  2. French

    Elementary proficiency
  3. German

    Elementary proficiency

Skills

  • Java
  • PostgreSQL
  • Matlab
  • Telecommunications
  • Linux
  • Signal Processing
  • Wireless
  • Analysis
  • Modeling
  • Research
  • Engineering
  • Simulink
  • C
  • C++
  • Testing
  • Project Engineering
  • Software Engineering
  • Programming
  • Biomedical Engineering
  • Railway Signalling
  • See 5+  See less

Education

Tampere University of Technology

Master of Biomedical Engineering, Biomedical Engineering

Universidad Carlos III de Madrid

Telecom Engineer, Telecom

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