A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme

A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme

In this study, we propose a dynamic Bayesian network (DBN)-based approach to behavioral modelling of community dwelling older adults at risk for falls during the daily sessions of a hologram-enabled vestibular rehabilitation therapy programme. The component of human behavior being modelled is the le...

Full description

Saved in:
Bibliographic Details
Published in:2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) pp. 5544 - 5547
Main Authors: Georga, Eleni I., Gatsios, Dimitrios, Tsakanikas, Vasilis, Kourou, Konstantina D., Liston, Matthew, Pavlou, Marousa, Kikidis, Dimitrios, Bibas, Athanasios, Nikitas, Christos, Bamiou, Doris Eva, Fotiadis, Dimitrios I.
Format: Conference Proceeding
Language:English
Published: IEEE 01-07-2020
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this study, we propose a dynamic Bayesian network (DBN)-based approach to behavioral modelling of community dwelling older adults at risk for falls during the daily sessions of a hologram-enabled vestibular rehabilitation therapy programme. The component of human behavior being modelled is the level of frustration experienced by the user at each exercise, as it is assessed by the NASA Task Load Index. Herein, we present the topology of the DBN and test its inference performance on real-patient data.Clinical Relevance- Precise behavioral modelling will provide an indicator for tailoring the rehabilitation programme to each individual's personal psychological needs.
ISSN:1558-4615
DOI:10.1109/EMBC44109.2020.9175435