Uso del Gait Module in QTM
Workshop 21 maggio, 2022Unità 14: Uso del Gait Module in QTMPer seguire meglio il corso, apri QTM sul tuo computer […]
Workshop 21 maggio, 2022Unità 14: Uso del Gait Module in QTMPer seguire meglio il corso, apri QTM sul tuo computer […]
Motion Capture Biomechanics TrainingUniversità Campus Bio-Medico di Roma Workshop 21 maggio, 2022 Unità 13: Impostazione Gait Module in QTM Per […]
One final element as part of this introduction to reporting data in Visual3D is the inclusion of Ground Reaction Force data. This is not particularly different from other graphs per se; however, some of the methods we use to do this highlight features that might otherwise go overlooked.
Visual3D BasicsUnit 3:Creating a biomechanical report Chapter 5: Adding Ground Reaction Force data to your report One final element as […]
In the first part of this chapter, we show you some methods for reviewing your data. Looking at synchronized graphs to spot any potential anomalies is easy, and we highlight some quick methods. Of course, your data may not always be perfect, so we also show you some processing methods to clean it up before performing biomechanical calculations.
Visual3D BasicsUnit 2:Performing biomechanical calculations Chapter 2: Reviewing and processing your data Once you have applied your biomechanical model to […]
Visual3D BasicsUnit 1:Building your first biomechanical model Chapter 5: Defining segments for a Conventional Gait Model We don’t always have […]
Chapter 4: Defining segmentsA biomechanical model in Visual3D is made up of a series of segments. In this chapter, we […]
Although Visual3D provides many event identification tools, they are not always quite enough to find the exact moment in time you were looking for. Sometimes you need to use external devices to identify events, but they are not always an option. In this tutorial, we show you how to find events in similar patterns of your data using Target Pattern Recognition.
Events aren’t always easy to identify from the data itself, however, we can use pattern recognition to get around the problem. In this tutorial, we explain how to use target pattern recognition to use identify events based on patterns with events elsewhere in the same trial or in other trials.