Schkommodau, Erik
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Schkommodau
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Erik
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Schkommodau, Erik
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- PublikationExtraction of canine gait characteristics using a mobile gait analysis system based on inertial measurement units(Elsevier, 2023) Schkommodau, Erik [in: Veterinary and Animal Science]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationRWD-Cockpit. Application for quality assessment of real-world data(JMIR Publications, 18.10.2022) Schkommodau, Erik [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
- PublikationAutomatic landmark identification for surgical 3d-navigation – A proposed method for marker-free dental surgical navigation systems(De Gruyter, 04.07.2022) Schkommodau, Erik [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
- PublikationRWD-Cockpit: application for quality assessment of real-world data(JMIR Publications, 2022) Schkommodau, Erik [in: JMIR Formative Research]Background: 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. Objective: To address the need to qualify RWD, we aimed to build a web application as a tool to translate characterization of some quality parameters of RWD into a metric and propose a standard framework for evaluating the quality of the RWD. Methods: The RWD-Cockpit systematically scores data sets based on proposed quality metrics and customizable variables chosen by the user. Sleep RWD generated de novo and publicly available data sets were used to validate the usability and applicability of the web application. The RWD quality score is based on the evaluation of 7 variables: manageability specifies access and publication status; complexity defines univariate, multivariate, and longitudinal data; sample size indicates the size of the sample or samples; privacy and liability stipulates privacy rules; accessibility specifies how the data set can be accessed and to what granularity; periodicity specifies how often the data set is updated; and standardization specifies whether the data set adheres to any specific technical or metadata standard. These variables are associated with several descriptors that define specific characteristics of the data set. Results: To address the need to qualify RWD, we built the RWD-Cockpit web application, which proposes a framework and applies a common standard for a preliminary evaluation of RWD quality across data sets—molecular, phenotypical, and social—and proposes a standard that can be further personalized by the community retaining an internal standard. Applied to 2 different case studies—de novo–generated sleep data and publicly available data sets—the RWD-Cockpit could identify and provide researchers with variables that might increase quality Conclusions: The results from the application of the framework of RWD metrics implemented in the RWD-Cockpit application suggests that multiple data sets can be preliminarily evaluated in terms of quality using the proposed metrics. The output scores—quality identifiers—provide a first quality assessment for the use of RWD. Although extensive challenges remain to be addressed to set RWD quality standards, our proposal can serve as an initial blueprint for community efforts in the characterization of RWD quality for regulated settings.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationStimulation maps: visualization of results of quantitative intraoperative testing for deep brain stimulation surgery(Springer, 30.01.2020) Schkommodau, Erik [in: Medical & Biological Engineering & Computing]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationA novel assistive method for rigidity evaluation during deep brain stimulation surgery using acceleration sensors(American Association of Neurological Surgeons, 09/2017) Schkommodau, Erik [in: Journal of Neurosurgery]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationAccuracy investigation of a new mininavigation system for dental implants(10/2016) Schkommodau, Erik06 - Präsentation
- PublikationPatient-specific hip prostheses designed by surgeons(De Gruyter, 30.09.2016) Schkommodau, Erik [in: Current Directions in Biomedical Engineering]Patient-specific bone and joint replacement implants lead to better functional and aesthetic results than conventional methods [1], [2], [3]. But extracting 3D shape information from CT Data and designing individual implants is demanding and requires multiple surgeon-to-engineer interactions. For manufacturing purposes, Additive Manufacturing offers various advantages, especially for low volume manufacturing parts, such as patient specific implants. To ease these new approaches and to avoid surgeon-to-engineer interactions a new design software approach is needed which offers highly automated and user friendly planning steps.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationImproving DBS targeting using 3D visualization of intraoperative stimulation tests(09/2016) Schkommodau, Erik06 - Präsentation
- PublikationIntraoperative quantitative tremor evaluation in deep brain stimulation surgery(09/2016) Schkommodau, Erik06 - Präsentation