Open AccessObjective profiling of varied human motion based on normative assessment of magnetometer time series data
Author(s) -
Claire M. Barnes,
Cain C. T. Clark,
Paul Rees,
Gareth Stratton,
Huw D. Summers
Publication year - 2018
Publication title -
physiological measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.674
H-Index - 101
eISSN - 1361-6579
pISSN - 0967-3334
DOI - 10.1088/1361-6579/aab9de
Subject(s) - statistics , mathematics , rank correlation , artificial intelligence , correlation , principal component analysis , cohen's kappa , statistic , pattern recognition (psychology) , computer science , geometry
By using multi-dimensional analysis of similarity measures between participants rather than direct parameterisation of the physiological data, complex and varied patterns of physical motion can be quantified, allowing objective and robust profiling of relative function across participant groups.
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