Action Sequencing and Error Production in Stroke Patients with Apraxia - Behavioral Modeling using Bayesian Logic Networks

Charmayne Mary Lee Hughes, Moritz Tenorth, Marta Bienkiewicz, Joachim Hermsdörfer

2013

Abstract

Individuals with Apraxia often suffer from cognitive impairments during the execution of activities of daily living (ADL). In this study, we used a statistical relational learning approach (Tenorth, 2011) to model the behavior of apraxic patients and neurologically healthy individuals (n = 14 in each group) during ADL performance. Video analysis indicated that apraxic patients committed more errors than control participants, typically committing omission, addition, and substitution errors. The results of the Bayesian Logic Network (BLN) approach indicate that the relevance of the nodes (i.e., actions) differed between the control participants and apraxia patients. Furthermore, there were more nodes in the patient group, which is likely a result of addition and substitution errors, or by alternative ways of solving the task using a different set of tools. Overall, the results of the present study highlight the variability inherent in ADL performance, which need to be considered when developing action and error prediction models.

Paper Citation

in Harvard Style

Lee Hughes C., Tenorth M., Bienkiewicz M. and Hermsdörfer J. (2013). Action Sequencing and Error Production in Stroke Patients with Apraxia - Behavioral Modeling using Bayesian Logic Networks . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013) ISBN 978-989-8565-37-2, pages 193-200. DOI: 10.5220/0004233001930200

in Bibtex Style

@conference{healthinf13,
author={Charmayne Mary Lee Hughes and Moritz Tenorth and Marta Bienkiewicz and Joachim Hermsdörfer},
title={Action Sequencing and Error Production in Stroke Patients with Apraxia - Behavioral Modeling using Bayesian Logic Networks},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)},
year={2013},
pages={193-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004233001930200},
isbn={978-989-8565-37-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)
TI - Action Sequencing and Error Production in Stroke Patients with Apraxia - Behavioral Modeling using Bayesian Logic Networks
SN - 978-989-8565-37-2
AU - Lee Hughes C.
AU - Tenorth M.
AU - Bienkiewicz M.
AU - Hermsdörfer J.
PY - 2013
SP - 193
EP - 200
DO - 10.5220/0004233001930200