https://www.bibsonomy.org/tag/ModelingBibSonomy RSS Feed for /tag/ModelingObjective: A model for simulating multi-lead ECG signals during paroxysmal atrial fibrillation (AF) is proposed. Significance: The model is of particular significance when evaluating detection performance in the presence of brief AF episodes, especially since annotated databases with such episodes are lacking. Approach: The proposed model accounts for important characteristics such as switching between sinus rhythm and AF, varying P-wave morphology, repetition rate of f-waves, presence of atrial premature beats, and various types of noise. Main results: Two expert cardiologists assessed the realism of simulated signals relative to real ECG signals, both in sinus rhythm and AF. The cardiologists identified the correct rhythm in all cases, and considered two-thirds of the simulated signals as realistic. The proposed model was also investigated by evaluating the performance of two AF detectors which explored either rhythm only or both rhythm and morphology. The results show that detection performance is strongly dependent on AF episode duration, and, consequently, demonstrate that the model can play a significant role in the investigation of detector properties.https://hal.science/hal-03235114hadjerbchn2026-08-01T23:56:19+02:00ECG HAL atrial-fibrillation detection modeling open-access paroxysmal-AF <span itemprop="description">Objective: A model for simulating multi-lead ECG signals during paroxysmal atrial fibrillation (AF) is proposed. Significance: The model is of particular significance when evaluating detection performance in the presence of brief AF episodes, especially since annotated databases with such episodes are lacking. Approach: The proposed model accounts for important characteristics such as switching between sinus rhythm and AF, varying P-wave morphology, repetition rate of f-waves, presence of atrial premature beats, and various types of noise. Main results: Two expert cardiologists assessed the realism of simulated signals relative to real ECG signals, both in sinus rhythm and AF. The cardiologists identified the correct rhythm in all cases, and considered two-thirds of the simulated signals as realistic. The proposed model was also investigated by evaluating the performance of two AF detectors which explored either rhythm only or both rhythm and morphology. The results show that detection performance is strongly dependent on AF episode duration, and, consequently, demonstrate that the model can play a significant role in the investigation of detector properties.</span>https://ieeexplore.ieee.org/abstract/document/10589877/scch2025-10-13T09:57:30+02:00Architecture Decision Modeling Semantic <a itemprop="url" data-versiondate="2025-10-13T09:57:30+02:00" href="https://ieeexplore.ieee.org/abstract/document/10589877/" rel="nofollow" class="description-link">https://ieeexplore.ieee.org/abstract/document/10589877/</a>The OMG standard Systems Modeling Language (SysML) has been on the market for about thirteen years. This standard is an extended subset of UML providing ahttps://link.springer.com/article/10.1007/s10270-019-00735-yscch2025-08-06T07:40:04+02:00Modeling Systems mapping study systematic <span itemprop="description">The OMG standard Systems Modeling Language (SysML) has been on the market for about thirteen years. 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However, this piece of data is not to be found in any of our reports, but only in the media. This event reveals the importance of considering system-wide dynamics as a whole.https://theshiftproject.org/en/article/shift-project-really-overestimate-carbon-footprint-video-analysis/schmidt22020-10-07T11:40:05+02:00correction estimates iea modeling streaming the_shift_project <span itemprop="description">The IEA&#039;s paper points out to a figure that is undeniably wrong. However, this piece of data is not to be found in any of our reports, but only in the media. 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