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Lecture

Biomechanics: Velocity Analysis

In courses (2)

BIO-378: Physiology lab I

Le TP de physiologie introduit les approches expérimentales du domaine biomédical, avec les montages de mesure, les capteurs, le conditionnement des signaux, l'acquisition et traitement de données. Les résultats physiologiques finaux illustrent le contenu ...

BIO-379: Physiology lab II

Description

This lecture covers the analysis of velocity data in biomechanics, focusing on the extraction and processing of velocity figures from force and position measurements. The instructor demonstrates the use of Excel for data visualization and interpretation, including the detection parameters and stimulus thresholds. The lecture also includes the analysis of elongation and force data, with a detailed explanation of the detection parameters and their impact on the results.

Instructor

André Pexieder

Official source

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Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession.

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