M. Bachler

发表

Parameter Sets for Entropy Measures in Risk Prediction for End-Stage Renal Disease Patients

A. Bauer, G. Lorenz, C. Schmaderer, 2017 .

Increasing Stability of Real-Time Pulse Wave Velocity Estimation by Combining Established and New Approaches

C. Mayer, S. Wassertheurer, M. Bachler, 2013, 2013 8th EUROSIM Congress on Modelling and Simulation.

Non-invasive wave reflection quantification in patients with reduced ejection fraction

T. Weber, B. Eber, S. Wassertheurer, 2015, Physiological measurement.

Attractor Reconstruction for Quantifying the Arterial Pulse Wave Morphology During Device-Guided Slow Breathing.

T. Mengden, C. Mayer, S. Wassertheurer, 2022, Cardiovascular engineering and technology.

Non-invasive quantification of the effect of device-guided slow breathing with direct feedback to the patient to reduce blood pressure

T. Mengden, S. Wassertheurer, M. Bachler, 2020, Physiological measurement.

Limited Effect of 60-Days Strict Head Down Tilt Bed Rest on Vascular Aging

J. Tank, J. Jordan, F. Hoffmann, 2021, Frontiers in Physiology.

A comparison between left ventricular ejection time measurement methods during physiological changes induced by simulated microgravity

J. Tank, F. Hoffmann, S. Orter, 2021, Experimental physiology.

On Entropy-Based Data Mining

Armando J. Pinho, Andreas Holzinger, Siegfried Wassertheurer, 2014, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.

Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet

V. Marozas, John Allen, E. Bianchini, 2021, American journal of physiology. Heart and circulatory physiology.

The Effect of Threshold Values and Weighting Factors on the Association between Entropy Measures and Mortality after Myocardial Infarction in the Cardiac Arrhythmia Suppression Trial (CAST)

Andreas Holzinger, Siegfried Wassertheurer, Christopher C. Mayer, 2016, Entropy.

Device-guided slow breathing with direct biofeedback of pulse wave velocity – acute effects on pulse arrival time and self-measured blood pressure

T. Mengden, S. Wassertheurer, M. Bachler, 2022, Blood pressure monitoring.

Challenging Recently Published Parameter Sets for Entropy Measures in Risk Prediction for End-Stage Renal Disease Patients

Siegfried Wassertheurer, Christopher C. Mayer, Axel Bauer, 2017, Entropy.

Simulation of Physiologic Ectopic Beats in Heartbeat Intervals to Validate Algorithms

Christopher C. Mayer, Martin Frank, Siegfried Wassertheurer, 2015 .

Selection of entropy-measure parameters for knowledge discovery in heart rate variability data

Andreas Holzinger, C. Mayer, S. Wassertheurer, 2014, BMC Bioinformatics.

Long‐term monitoring of cardiorespiratory patterns in drug‐resistant epilepsy

William H Theodore, Daniel M Goldenholz, Siegfried Wassertheurer, 2017, Epilepsia.

Pulse wave intensity and ECG: A multisensor approach for the risk assessment in systolic heart failure

Siegfried Wassertheurer, Bernhard Hametner, Christopher Mayer, 2015, 2015 IEEE Sensors Applications Symposium (SAS).

Associations of Novel and Traditional Vascular Biomarkers of Arterial Stiffness: Results of the SAPALDIA 3 Cohort Study

N. Künzli, C. Schindler, J. Dratva, 2016, PloS one.

Implementation and verification of an enhanced algorithm for the automatic computation of RR-interval series derived from 24 h 12-lead ECGs

Siegfried Wassertheurer, Martin Bachler, Axel Bauer, 2017, Physiological measurement.

Determinants and covariates of central pressures and wave reflections in systolic heart failure.

T. Weber, B. Eber, S. Wassertheurer, 2015, International journal of cardiology.

Online and Offline Determination of QT and PR Interval and QRS Duration in Electrocardiography

Andreas Holzinger, Siegfried Wassertheurer, Christopher C. Mayer, 2012, ICPCA/SWS.

Feasibility of oscillometric aortic pressure and stiffness assessment using the VaSera VS-1500: comparison with a common tonometric method

A. Schmidt-Trucksäss, C. Mayer, S. Wassertheurer, 2015, Blood pressure monitoring.

Automatic ECG-based detection of left ventricular hypertrophy and its predictive value in haemodialysis patients

Andreas Holzinger, G. Lorenz, C. Schmaderer, 2023, Physiological measurement.

Entropy-Based Data Mining on the Example of Cardiac Arrhythmia Suppression

Andreas Holzinger, Siegfried Wassertheurer, Christopher C. Mayer, 2014, Brain Informatics and Health.

Automated verification of cardiovascular models with continuous integration tools

Bernhard Hametner, Matthias Gira, Siegfried Wassertheurer, 2012 .

Automatic Detection of QRS Complex, P-Wave and T-Wave in the Electrocardiogram

Siegfried Wassertheurer, Bernhard Hametner, Christopher Mayer, 2012, Simul. Notes Eur..

Fine-tuning of pre-processing filters enables scalp-EEG based training of subcutaneous EEG models

G. Gritsch, M. Bachler, B. Hametner, 2023, 2023 IEEE 19th International Conference on Body Sensor Networks (BSN).

Nonlinear Methods in Heart Rate Variability: Can they Distinguish between Nonpathological and Pathological Subjects?

Siegfried Wassertheurer, Christopher Mayer, Martin Bachler, 2015, Simul. Notes Eur..

Expansion of Models for Heart Rate Variability beyond the Autonomic Nervous System

Martin Bachler, Jennifer Straub, M. Bachler, 2019, Simul. Notes Eur..

Fit for Duty Assessment of Driver Fatigue based on Statistical Modelling of Cardiovascular Parameters

M. Bachler, C. Mayer, Ciara Picher, 2023, Simul. Notes Eur..

Selection of entropy-measure parameters for knowledge discovery in heart rate variability data

Andreas Holzinger, Siegfried Wassertheurer, Christopher C. Mayer, 2014, BMC Bioinformatics.