parameter estimation

Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping

Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping

Author(s)3: Sophie Giffard-Roisin, Thomas Jackson, Lauren Fovargue, Jack Lee, Herve Delingette, Reza Razavi, Nicholas Ayache, Maxime Sermesant
Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping 170 177 IEEE Transactions on Biomedical Engineering (TBME)

We use non-invasive data (body surface potential mapping, BSPM) to personalize the main parameters of a cardiac electrophysiological model for predicting the response to different pacing conditions. First, an efficient…

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Patient-Specific Oscillometric Blood Pressure Measurement

Author(s)3: Jiankun Liu, Hao-min Cheng, Chen-Huan Chen, Shih-Hsien Sung, Mohsen Moslehpour, Jin-Oh Hahn, Ramakrishna Mukkamala
Patient-Specific Oscillometric Blood Pressure Measurement 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Oscillometric devices are widely used for automatic cuff blood pressure (BP) measurement.  These devices act as both an actuator to alter the transmural pressure of the brachial artery via cuff…

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Using Kalman Filtering to Predict Time-Varying Parameters in a Model Predicting Baroreflex Regulation During Head-Up Tilt

Author(s)3: Brett Matzuka, Jesper Mehlsen, Hien Tran, Mette Sofie Olufsen
Using Kalman Filtering to Predict Time-Varying Parameters in a Model Predicting Baroreflex Regulation During Head-Up Tilt 292 410 IEEE Transactions on Biomedical Engineering (TBME)

The cardiovascular control system is constantly utilized to distribute and maintain required amounts of oxygenated blood to vitals areas in order to maintain homeostasis. However, in a subset of the…

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