Detecting dynamical changes in vital signs using switching Kalman filter

Gomes de Almeida, Vania and Nabney, Ian T. (2017) Detecting dynamical changes in vital signs using switching Kalman filter. In: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 11-15 July 2017, Jeju, South Korea.

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Abstract

Vital signs contain valuable information about patients' health status during their stay in general wards, when the deterioration process begins. The use of methods to predict and detect regime changes such as switching models can help to understand how vital sign dynamics are altered in disease conditions. However, time series of vital signs are remarkably non-stationary in these scenarios. The objective of this study is to quantify the potential bias of switching models in the presence of non-stationarities, when the inputs are spectral, symbolic and entropy indices. To distinguish stationary from non-stationary periods, a test was used to verify the stability of the mean and variance over short periods. Then, we compared the results from a switching Kalman filter (SKF) model trained using indices obtained over stationary periods with a model trained solely over non-stationary periods. It was observed that indices measured over stationary and non-stationary periods were significantly different. The results of switching models were highly dependent on the indices that were used as inputs. The multi-scale entropy (MSE) approach presented the highest correlation values between non-stationary and stationary switches, an average correlation coefficient of 38%.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Natural Sciences
Item ID: 23740
Notes on copyright: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Vania Gomes De almeida
Date Deposited: 05 Mar 2018 18:15
Last Modified: 05 Sep 2018 16:50
URI: http://eprints.mdx.ac.uk/id/eprint/23740

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