Publikationen

2020

  1. Krickl S, Bernhard S. Major Arterial Cardiovascular Simulator for investigation of the effects of stenoses on the blood pulse waves. (in Vorbereitung) (2020)

  2. Krickl S, Debic M, Bernhard S. Monte-Carlo parameter variation study and signal classification of cardiovascular aortic aneurysms using a naive Bayes algorithm (in Vorbereitung) (2020)

  3. Krickl S. Modellierung, Analyse und Klassifikation von kardiovaskulären Pathologien zur frühen Diagnose von Herz-Kreislauferkrankungen. Dissertation (in Vorbereitung) (2020)

  4. Hackstein U, Krickl S, Bernhard S: Estimation of ARMA-model parameters to describe pathological conditions in cardiovascular system models. Informatics in Medicine Unlocked 18 (2020). 100310, www.elsevier.com/locate/imu; undefined, NAS

2019

  1. Kern F, Bernhard S. Estimation of Quasi-Continuous Blood Pressure based on Harmonic Phase-Shifts in Signals using Non-Invasive Photoplethysmographic Measurements. Medxriv. doi: undefined (2019), NAS.

2018

  1. Krickl S, Bernhard S. Monte-Carlo parameter variation study of cardiovascular pathologies to quantify parameter specific signal uncertainty. Current Directions in Biomedical Engineering 4(1):379-383 (2018), NAS

2017

  1. Kern F, Bernhard S. Beat-to-beat blood pressure measurement from instantaneous harmonic phase-shifts in non-invasive photoplethysmographic signals. Current Directions in Biomedical Engineering 3(2), doi: 10.1515/cdbme-2017-0159 (2017),NAS

  2. Huttary R, Goubergrits L, Schütte Ch, Bernhard S. Simulation, Identification and Statistical Variation in Cardiovascular Analysis (SISCA) - a Software Framework for Multi- compartment Lumped Modeling., Comput Biol Med. 2017 Aug 1;87:104-123, NAS

  3. Gul R, Bernhard S. Optimal measurement locations for diagnosis of aortic stenoses and aneurysms in a lumped-parameter model of the systemic circulation using sensitivity analysis. International Journal of Biomathematics 2017, 10(8). NAS

  4. Gul R, Bernhard S. Sensitivity analysis: A useful tool for bifurcation analysis.” In: Quality Assurance in Healthcare Service Delivery, Nursing and Personalized Medicine. Hershey, PA: Medical Information Science Reference. ISBN-13: 978-1613501207.NAS

2016

  1. Gul R, Schütte Ch, Bernhard S. Mathematical modeling and sensitivity analysis of arterial anastomosis in arm arteries, Applied Mathematical Modelling 40;7724-7738. (2016), doi:10.1016/j.apm.2016.03.041, NAS.

  2. Huttary R, Goubergrits L, Schütte Ch, Bernhard S. Simulation, Identification and Statistical Variation in Cardiovascular Analysis (SISCA) - a Software Framework for Multi-compartment Lumped Modeling. ZIB-Report ISSN 0378-4754. Preprint zu Huttary et al. (2017) (NAS )

2015

  1. Gul R, Bernhard S. Parametric uncertainty and global sensitivity analysis in carotid bifurcation: Identification and ranking of most sensitive model parameters, Mathematical Biosciences 2015, 269;104-116. NAS

  2. Gul R, Schütte Ch, Bernhard, S. Mathematical modeling and sensitivity analysis of arterial anastomosis in arm arteries, ZIB-Report 15-22 04/2015, ISSN 1438-0064.NAS

Vorträge mit Abstract:

2020

  1. Hackstein U, Degünther C, Krüger T, Krickl S, Ölschläger S, Bernhard S: Early diagnosis of aortic aneurysms based on the classification of transfer function parameters estimated from multiple photoplethysmographic signals. 14th World Congress in Computational mechanics (WCCM) and ECCOMAS congress 2020 (abstract accepted, war geplant für 19.7.-24.7.2020, Paris) NAS

  2. Krickl S, Debic M, Bernhard S. Monte-Carlo Parameter Variation Study Using a Variance Based Feature Selection Technique for Signal Classification of Cardiovascular Aortic Aneurysms. (abstract accepted to WCCM 2020, Paris, Frankreich).NAS

  3. Krickl S, Bernhard S. MAJOR ARTERIAL CARDIOVASCULAR SIMULATOR (MACSIM) TO SIMULATE CARDIOVASCULAR DISEASES, 14th World Congress on Computational Mechanics (WCCM) ECCOMAS Congress 2020 (abstract accepted) NAS

  4. Hackstein U, Krickl S, Bernhard S. Estimation of transfer function parameters to describe pathological conditions in cardiovascular system models, (submitted für BMT 2020).NAS

2019

  1. Degünther C, Hackstein U, Krickl S, Bernhard S: Estimation of ARMA-model parameters using clinical data to detect aortic aneurysms. Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik 2019, Frankfurt am Main, 25-26.9.2019 (2019).NAS

  2. Hackstein U, Hamie A, Krickl S, Bernhard S. Estimation of ARMA model parameters to describe pathological conditions in cardiovascular system models. USNCCM 15, Austin (Texas), USA (2019). NAS NAS

  3. Krickl S, Debic M and Bernhard S. Classification of cardiovascular pathologies in artificial signals of a lumped parameter model using a naive Bayes algorithm. USNCCM 15, Austin (Texas), USA (2019). (upon request)

2018

  1. Krickl S, Bernhard S. Classification of cardiovascular pathologies in artificial signals of a lumped parameter model using a naive Bayes algorithm. IWBBIO 2018 (6th International Work-Conference on Bioinformatics and Biomedical Engineering), Granada Spain.

  2. Kern F, Bernhard S. Towards Non-Invasive Continuous Blood Pressure Estimation: A Novel Frequency Demodulation Approach. IWBBIO 2018 (6th International Work-Conference on Bioinformatics and Biomedical Engineering), Granada Spain. NAS

  3. Kern F, Bernhard S. Towards Non-Invasive Continuous Blood Pressure Estimation: A Novel Frequency Demodulation Approach, IUPESM Prague, Prag, (2018). NAS

  4. Krickl S, Bernhard S. Classification of cardiovascular pathologies in artificial signals of a lumped parameter model using a naive Bayes algorithm. IUPESM Prague, Prag, (2018).

  5. Krickl S, Bernhard S. Monte-Carlo parameter variation study of cardiovascular pathologies to quantify parameter specific signal uncertainty. Jahrestagung der BIOMEDIZINISCHEN TECHNIK und Dreiländertagung der MEDIZINISCHEN PHYSIK 2018 in Aachen.

2017

  1. Kern F, Bernhard S. Harmonic Phase-Shifts Analysis to Estimate Continuous Blood Pressure from Photoplethysmographic Signals. Jahrestagung der BIOMEDIZINISCHEN TECHNIK, Dresden, Germany. (2017).

  2. Bernhard S, Gul R. Parametric uncertainty and global sensitivity analysis in a model of the carotid bifurcation: Identification and ranking of most sensitive model parameters. SIAM Conference on the Life Sciences, Boston, USA. (2016).

Poster:

2018

  1. Kern F, Greiner T, Bernhard S. Estimation of Continuous Blood Pressure from Harmonic Phase-Shifts in PPG Signals. IWBBIO 2018, Granada, Spanien (2018)Abstract, Poster

2017

  1. Krickl S, Bernhard S. MACSim a Major Arterial Cardiovascular Simulator for variational parameter studies in patient-specific vascular geometries. Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik 2017, Dresden, 10.-13.9.2017 (2017)