Print Email Facebook Twitter Reference in-vitro dataset for inertial-sensor-to-bone alignment applied to the tibiofemoral joint Title Reference in-vitro dataset for inertial-sensor-to-bone alignment applied to the tibiofemoral joint Author Weygers, Ive (Katholieke Universiteit Leuven) Kok, M. (TU Delft Team Manon Kok) Seel, Thomas (Friedrich-Alexander-Universität Erlangen-Nürnberg) Shah, Darshan (Katholieke Universiteit Leuven) Taylan, Orçun (Katholieke Universiteit Leuven) Scheys, Lennart (University Hospital Leuven; Katholieke Universiteit Leuven) Hallez, Hans (Katholieke Universiteit Leuven) Claeys, Kurt (Katholieke Universiteit Leuven) Date 2021 Abstract Skin-attached inertial sensors are increasingly used for kinematic analysis. However, their ability to measure outside-lab can only be exploited after correctly aligning the sensor axes with the underlying anatomical axes. Emerging model-based inertial-sensor-to-bone alignment methods relate inertial measurements with a model of the joint to overcome calibration movements and sensor placement assumptions. It is unclear how good such alignment methods can identify the anatomical axes. Any misalignment results in kinematic cross-talk errors, which makes model validation and the interpretation of the resulting kinematics measurements challenging. This study provides an anatomically correct ground-truth reference dataset from dynamic motions on a cadaver. In contrast with existing references, this enables a true model evaluation that overcomes influences from soft-tissue artifacts, orientation and manual palpation errors. This dataset comprises extensive dynamic movements that are recorded with multimodal measurements including trajectories of optical and virtual (via computed tomography) anatomical markers, reference kinematics, inertial measurements, transformation matrices and visualization tools. The dataset can be used either as a ground-truth reference or to advance research in inertial-sensor-to-bone-alignment. To reference this document use: http://resolver.tudelft.nl/uuid:5a20c298-cd68-41a5-9d5a-935a44b86d05 DOI https://doi.org/10.1038/s41597-021-00995-8 ISSN 2052-4463 Source Scientific Data, 8 (1) Part of collection Institutional Repository Document type journal article Rights © 2021 Ive Weygers, M. Kok, Thomas Seel, Darshan Shah, Orçun Taylan, Lennart Scheys, Hans Hallez, Kurt Claeys Files PDF s41597_021_00995_8.pdf 1.7 MB Close viewer /islandora/object/uuid:5a20c298-cd68-41a5-9d5a-935a44b86d05/datastream/OBJ/view