Wildhaber, Reto

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Wildhaber
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Reto
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Wildhaber, Reto

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2022 - 20233
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Anfangsdatum: 2011 × Dateien dazu vorhanden?: Ja ×

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  • Vorschaubild
    Publikation
    Real-time feature extraction from electrocochleography with impedance measurements during cochlear implantation using linear state-space models
    (IEEE, 2023) Andonie, Raphael R.; Wimmer, Wilhelm; Wildhaber, Reto; Caversaccio, Marco; Weder, Stefan [in: IEEE Transactions on Biomedical Engineering]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Algorithm for real-time analysis of intracoronary electrocardiogram
    (Frontiers, 07.09.2022) Bigler, Marius Reto; Kieninger-Gräfitsch, Andrea; Waldmann, Frédéric; Seiler, Christian; Wildhaber, Reto [in: Frontiers in Cardiovascular Medicine]
    Since its first implementation in 1985, intracoronary (ic) electrocardiogram (ECG) has shown ample evidence for its diagnostic value given the higher sensitivity for myocardial ischemia detection in comparison to surface ECG. However, a lack of online systems to quantitatively analyze icECG in real-time prevents its routine use. The present study aimed to develop and validate an autonomous icECG analyzing algorithm.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Onset detection of pulse-shaped bioelectrical signals using linear state space models
    (De Gruyter, 02.09.2022) Waldmann, Frédéric; Baeriswyl, Christof; Andonie, Raphael; Wildhaber, Reto [in: Current Directions in Biomedical Engineering]
    Bioelectrical signals are often pulse-shaped with superimposed interference signals. In this context, accurate identification of features such as pulse onsets, peaks, amplitudes, and duration is a frequent problem. In this paper, we present a versatile method of rather low computational complexity to robustly identify such features in real-world signals. For that, we take use of two straight-line models fit to the observations by minimizing a quadratic cost term, and then identify desired features by tweaked likelihood measures. To demonstrate the idea and facilitate access to the method, we provide examples from the field of cardiology.
    01A - Beitrag in wissenschaftlicher Zeitschrift