Schkommodau, Erik

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Schkommodau, Erik

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Extraction of canine gait characteristics using a mobile gait analysis system based on inertial measurement units

2023, Altermatt, Matthias, Kalt, Denise, Blättler, P., Schkommodau, Erik

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Publikation

Stimulation maps: visualization of results of quantitative intraoperative testing for deep brain stimulation surgery

2020-01-30, Shah, Ashesh, Vogel, Dorian, Pison, Daniela, Schkommodau, Erik, Hemm-Ode, Simone

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Intraoperative acceleration measurements to quantify tremor during deep brain stimulation surgery

2016, Shah, Ashesh, Coste, Jérôme, Lemaire, Jean-Jaques, Taub, Ethan, Schüpbach, W.M. Michael, Pollo, Claudio, Schkommodau, Erik, Guzman, Raphael, Hemm-Ode, Simone

Deep brain stimulation (DBS) surgery is extensively used in the treatment of movement disorders. Nevertheless, methods to evaluate the clinical response during intraoperative stimulation tests to identify the optimal position for the implantation of the chronic DBS lead remain subjective. In this paper, we describe a new, versatile method for quantitative intraoperative evaluation of improvement in tremor with an acceleration sensor that is mounted on the patient’s wrist during surgery. At each anatomical test position, the improvement in tremor compared to the initial tremor is estimated on the basis of extracted outcome measures. This method was tested on 15 tremor patients undergoing DBS surgery in two centers. Data from 359 stimulation tests were acquired. Our results suggest that accelerometric evaluation detects tremor changes more sensitively than subjective visual ratings. The effective stimulation current amplitudes identified from the quantitative data (1.1 ± 0.8 mA) are lower than those identified by visual evaluation (1.7 ± 0.8 mA) for similar improvement in tremor. Additionally, if these data had been used to choose the chronic implant position of the DBS lead, 15 of the 26 choices would have been different. These results show that our method of accelerometric evaluation can potentially improve DBS targeting.

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RWD-Cockpit. Application for quality assessment of real-world data

2022-10-18, 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

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.

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A novel assistive method for rigidity evaluation during deep brain stimulation surgery using acceleration sensors

2017-09, Shah, Ashesh, Coste, Jérôme, Lemaire, Jean-Jaques, Schkommodau, Erik, Taub, Ethan, Guzman, Raphael, Hemm-Ode, Simone

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Automatic landmark identification for surgical 3d-navigation – A proposed method for marker-free dental surgical navigation systems

2022-07-04, Bischofberger, Micha, Schkommodau, Erik, Böhringer, Stephan

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.

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Publikation

Patient-specific hip prostheses designed by surgeons

2016-09-30, Coigny, Florian, Todor, Adrian, Rotaru, Horatiu, Schumacher, Ralf, Schkommodau, Erik

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.