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filingDate 2020-02-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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publicationDate 2022-01-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber EP-3930617-A1
titleOfInvention Training data collection for machine learning models
abstract A training data collection method for an interventional device (130) including a portion of an interventional device (140) and sensors (332) adapted to provide position and/or orientation and/or shape information with at least a part of the sensors being affixed to said portion of device (140). The method involves controlling one or more motion variables of the interventional device (130) in accordance with a pre-defined data point pattern, and determining, from shape data derived from said information, an estimating of a pose of said device portion (140) and an estimating of a positioning motion of the interventional device (130). The method further involves a storage of a temporal data sequence for the interventional device (130) derived from the estimated pose of the end-effector (140) for each data point, the estimated positioning motion of the interventional device (130) for each data point, and the motion variable(s) of the interventional device (130) for each data point.
priorityDate 2019-02-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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