Schkommodau, Erik

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Schkommodau
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Erik
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Schkommodau, Erik

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2020 - 20235
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Anfangsdatum: 2020 × Hochschule: Hochschule für Life Sciences ×

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Gerade angezeigt 1 - 5 von 5
  • Vorschaubild
    Publikation
    Extraction of canine gait characteristics using a mobile gait analysis system based on inertial measurement units
    (Elsevier, 2023) Altermatt, Matthias; Kalt, Denise; Blättler, P.; Schkommodau, Erik [in: Veterinary and Animal Science]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    RWD-Cockpit. Application for quality assessment of real-world data
    (JMIR Publications, 18.10.2022) Degen, Markus; Babrak, Lmar; Smakaj, Erand; Agac, Teyfik; Asprion, Petra; Grimberg, Frank; Van der Werf, Daan; Van Ginkel, Erwin Willem; Tosoni, Deniz David; Clay, Ieuan; Brodbeck, Dominique; Natali, Eriberto; Schkommodau, Erik; Miho, Enkelejda [in: JMIR Formative Research]
    Digital technologies are transforming the health care system. A large part of information is generated as real-world data (RWD). Data from electronic health records and digital biomarkers have the potential to reveal associations between the benefits and adverse events of medicines, establish new patient-stratification principles, expose unknown disease correlations, and inform on preventive measures. The impact for health care payers and providers, the biopharmaceutical industry, and governments is massive in terms of health outcomes, quality of care, and cost. However, a framework to assess the preliminary quality of RWD is missing, thus hindering the conduct of population-based observational studies to support regulatory decision-making and real-world evidence.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Automatic landmark identification for surgical 3d-navigation – A proposed method for marker-free dental surgical navigation systems
    (De Gruyter, 04.07.2022) Bischofberger, Micha; Schkommodau, Erik; Böhringer, Stephan [in: Biomedical Engineering / Biomedizinische Technik]
    This paper proposes a conceptual method to calculate the pose of a stereo-vision camera relative to an artificial mandible without additional markers. The general method for marker-free navigation has four steps: 1) parallel image acquisition by a stereo-vision camera, 2) automatic identification of 2d point pairs (landmark pairs) in a left and a right image, 3) calculation of related 3d points in the joint camera coordinate system and 4) matching of 3d points generated to a preoperative 3d model (i.e., CT data based). To identify and compare landmarks in the acquired stereo images, well-known algorithms for landmark detection, description and matching were compared within the developed approach. Finally, the BRISK algorithm (Leutenegger S, Chli M, Siegwart RY. BRISK: Binary Robust invariant scalable keypoints. Proceedings of the IEEE International Conference on Computer Vision; 2011: 2548–2555) was used. The proposed method was implemented in MATLAB and validated with one artificial mandible. The accuracy evaluation of the camera positions calculated resulted in an average deviation error of 1.45 mm ± 0.76 mm to the real camera displacement. This value was calculated using only stereo images with over 100 reconstructed landmark pairs each. This provides the basis for marker-free navigation.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Cloud-based three-dimensional pattern analysis and classification of proximal humeral fractures – A feasibility study
    (EasyChair, 2022) Kalt, Denise; Gerber Popp, Ariane; Degen, Markus; Brodbeck, Dominique; Coigny, Florian; Suter, Thomas; Schkommodau, Erik; Rodriguez y Baena, Ferdinando; Giles, Joshua W.; Stindel, Eric [in: Proceedings of the 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery]
    For the complex clinical issue of treatment decision for proximal humeral fractures, dedicated software based on three-dimensional (3D) computer tomography (CT) models would potentially allow for a more accurate fracture classification and help to plan the surgical strategy needed to reduce the fracture in the operating theatre. The aim of this study was to elaborate the feasibility of implementation of such software using state-of-the-art cloud technology to enable access to its functionalities in a distributed manner. Feasibility was studied by implementation of a prototype application, which was tested in a usability study with five biomedical engineers. Implementation of a cloud-based solution was feasible using state-of-the-art technology under application of a specific software architectural approach allowing to distribute computational load between client and server. Mean System Usability Scale (SUS) Score for the developed application was determined to be 63 (StDev 20.4). These results can be interpreted as a medium low usability with high standard deviation of the measured SUS score. We conclude that more test subjects should be included in future studies and the developed application should be evaluated with a representative user group such as orthopaedic shoulder surgeons in a clinical setting.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Stimulation maps: visualization of results of quantitative intraoperative testing for deep brain stimulation surgery
    (Springer, 30.01.2020) Shah, Ashesh; Vogel, Dorian; Pison, Daniela; Schkommodau, Erik; Hemm-Ode, Simone [in: Medical & Biological Engineering & Computing]
    01A - Beitrag in wissenschaftlicher Zeitschrift