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Nicolas Pilia 2013

M.Sc. Nicolas Pilia

Research Associate
room: 411
phone: +49 721 608 - 48035
fax: +49 721 608 - 42789
nicolas piliaTtn9∂kit edu


Processing and analysis of biosignals from the heart

Processing and analysis of biosignals from the heart
contact:

Nicolas Pilia, Olaf Dössel

Biosignals of the heart are used in clinical routine thousand times each day: A standard 12-lead electrocardiogram (ECG) is a very common non-invasive diagnostic tool to analyse heart diseases. This can be done for short times in a clinical environment, but also several hours using so called Holter ECGs during the daily life of the patient. Especially in the latter case, this huge amount of data is usually evaluated by computer programs. 
Another typical type of cardiac measurements are invasive intracardiac recordings (usually consisting of several channels) can be applied to patients in a clinical environment often parallel to a 12-lead ECG measurement. All signals are interpreted by a physician during a few minutes and this interpretation determines the next steps during treatment. However, the number of signals to be looked at simultaneously is huge and only very experienced cardiologists can interpret them fast enough and in the correct manner.

The aim of this work will be the processing of heart signals of different types focussing on the questions and needs of cardiologists. Better signal representations, new parameters and innovative assisting diagnose techniques will be developed to support the medical procedures. The focus is set on ECG signal processing but also other types of signals can be analysed. Furthermore, questions from research should be answered by processing signals automatically. This is performed with mathematical methods from the fields of signal processing, information theory, statistics and machine learning.

Eyecatcher

Übungen zu Lineare elektrische Netze

Übungen zu Lineare elektrische Netze
type: Exercise links:
target group: Bachelor
place:

Building 10.21, Daimler-Hörsaal

time:

We: 14:00 h - 15:30 h

start: 17.10.2018
lecturer:

M.Sc. Nicolas Pilia

sws: 1
ects: 1.5

For further information please refer to the german side of this page.

Publications


  All Publications, sorted by years

          2019 2018 2017 2016 2015 2013 [Alle]


Selected Publications

Journal Articles (3)

S. Pollnow, N. Pilia, G. Schwaderlapp, A. Loewe, O. Dössel, and G. Lenis.
An adaptive spatio-temporal Gaussian filter for processing cardiac optical mapping data.
In Computers in Biology and Medicine, vol. 102, pp. 267-277, 2018
  PDF    
  
  
G. Lenis, N. Pilia, A. Loewe, W. H. W. Schulze, and O. Dössel.
Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study.
In Computational and Mathematical Methods in Medicine, vol. 2017(Article ID 9295029) , pp. 13, 2017
  PDF    
  
  
G. Lenis, N. Pilia, T. Oesterlein, A. Luik, C. Schmitt, and O. Dössel.
P wave detection and delineation in the ECG based on the phase free stationary wavelet transform and using intracardiac atrial electrograms as reference.
In Biomedizinische Technik. Biomedical Engineering, vol. 61(1) , pp. 37-56, 2016
  PDF    
  
  

Conference Contributions (7)

N. Pilia, C. Ritter, D. Potyagaylo, W. H. W. Schulze, O. Dössel, and G. Lenis.
Determination of the excitation origin in the ventricles from the ECG using support vector regression.
In Current Directions in Biomedical Engineering, vol. 3(2) , pp. 257-260, 2017
  PDF    
  
  
N. Pilia, O. Dössel, G. Lenis, and A. Loewe.
ECG as a Tool to Estimate Potassium and Calcium Concentrations in the Extracellular Space.
In Computing in Cardiology, vol. 44, 2017
  PDF    
  
N. A. Pilia, G. Lenis, A. Loewe, W. H. W. Schulze, and . O. Dössel.
The impact of baseline wander removal techniques on the ST segment in simulated ischemic 12-lead ECG.
In Current Directions in Biomedical Engineering, vol. 1(1) , pp. 96-99, 2015
  PDF    
  
  
N. Pilia, G. Lenis, and O. Dössel.
Developing a robust method to delineate the P wave using information from intracardiac electrograms.
In Biosignalverarbeitung und Magnetische Methoden in der Medizin. Proceedings BBS 2014, pp. 2, 2013
  PDF    
M. Hernández Mesa, N. Pilia, O. Dössel, S. Severi, and A. Loewe.
Effects of Serum Calcium Changes on the Cardiac Action Potential and the ECG in a Computational Model.
In Current Directions in Biomedical Engineering, vol. 4(1) , pp. 251-254, 2018
  PDF    
  
A. Loewe, M. Hernandez Mesa, N. Pilia, S. Severi, and O. Dössel.
A Heterogeneous Formulation of the Himeno et al. Human Ventricular Myocyte Model for Simulation of Body Surface ECGs .
In Computing in Cardiology, vol. 45, 2018
  PDF    
A. Loewe, E. Poremba, T. G. Oesterlein, N. Pilia, M. Pfeiffer, O. Dössel, and S. Speidel.
An interactive virtual reality environment for analysis of clinical atrial arrhythmias and ablation planning.
In Computing in Cardiology, vol. 44, 2017
  PDF    

Patents (1)



Awards

2017

Semi-Finalist Rosanna Degani Young Investigator Award​, Conference „Computing in Cardiology“ 2017 in Rennes (France)
Nicolas Pilia, Olaf Doessel, Gustavo Lenis, Axel Loewe, ECG as a Tool to Estimate Potassium and Calcium Concentrations in the Extracellular Space

Bill and Gary Sanders Poster Award, Conference „Computing in Cardiology“ 2017 in Rennes (France)
Axel Loewe, Emanuel Poremba, Tobias G. Oesterlein, Nicolas Pilia, Micha Pfeiffer, Olaf Doessel, Stefanie Speidel:
An Interactive Virtual Reality Environment for Analysis of Clinical Atrial Arrhythmias and Ablation Planning

 

2014

3rd place in the student presentation competition at the workshop "Innovative Verarbeitung bioelektrischer und biomagnetischer Signale - BBS 2014" by Nicolas Pilia, Gustavo Lenis, Olaf Dössel with the submitted paper:
"Developing a new method to delineate the P wave using information from intracardiac electrograms"