Analysis multisensor data on cervical injuries

Abstract

Study of the data from 27 users, eleven of them with a cervical fracture, extracted from thermographic frames, electroencephalographic waves and inertial biomechanics mobility angels, to detect patterns and achieve a model from the dataset and give validity to the results obtained previously with the sensors. A path through all the steps of the statistical modeling to understand the data and achieve the results.