An Innovative Concept for a Multivariate Plausibility Assessment of Simultaneously Recorded Data

The aim of this work was to develop an innovative multivariate plausibility assessment (MPA) algorithm in order to differentiate between ‘physiologically normal’, ‘physiologically extreme’ and ‘implausible’ observations in simultaneously recorded data. The underlying concept is based on the fact tha...

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Bibliographic Details
Main Authors: André Mensching, Marleen Zschiesche, Jürgen Hummel, Armin Otto Schmitt, Clément Grelet, Ahmad Reza Sharifi
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/10/8/1412

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