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