loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: A. Nassef 1 ; M. Mahfouf 1 ; C-H. Ting 2 ; E. Elsamahy 1 ; D. A. Linkens 1 and M. Denaï 3

Affiliations: 1 University of Sheffield, United Kingdom ; 2 National Chiayi University, Taiwan ; 3 The University of Sheffield, United Kingdom

Keyword(s): Modeling, Signal Processing, Biomedical Systems, Fuzzy Systems, Genetic Algorithms.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics

Abstract: This paper investigates the influence of physical stress on the physiological parameters of the cardiovascular system (CVS). The work aims at estimating the physiological variables such as the Heart Rate (HR), Blood Pressure (BP), Total Peripheral Resistance (TPR) and respiration in a subject underging physical workload. The core of the model was based on the model architecture previously developed by Luczak and his co-workers. Luczak's model was first reconstructed and the original published figure plots were used to identify some of the missing parameters via Genetic Algorithms (GA). The model was then modified using real experimental data extracted from healthy subjects who underwent two-session experiments of cyclic-loading based physical stress. Neuro-Fuzzy models were elicited via the data in order to describe the non-linear components of the model. The model response has also been significantly improved by including a dynamics-based component represented by 'time' as an extra input. The final model, as well as being of a ‘hybrid’ nature, was found to generalize better, to be more amenable to expansions and to also lead to better predictions. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.152.77.92

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nassef, A.; Mahfouf, M.; Ting, C.; Elsamahy, E.; Linkens, D. and Denaï, M. (2010). HYBRID PHYSIOLOGICAL MODELING OF SUBJECTS UNDERGOING CYCLIC PHYSICAL LOADING. In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2010) - BIOSIGNALS; ISBN 978-989-674-018-4; ISSN 2184-4305, SciTePress, pages 252-257. DOI: 10.5220/0002724702520257

@conference{biosignals10,
author={A. Nassef. and M. Mahfouf. and C{-}H. Ting. and E. Elsamahy. and D. A. Linkens. and M. Denaï.},
title={HYBRID PHYSIOLOGICAL MODELING OF SUBJECTS UNDERGOING CYCLIC PHYSICAL LOADING},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2010) - BIOSIGNALS},
year={2010},
pages={252-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002724702520257},
isbn={978-989-674-018-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2010) - BIOSIGNALS
TI - HYBRID PHYSIOLOGICAL MODELING OF SUBJECTS UNDERGOING CYCLIC PHYSICAL LOADING
SN - 978-989-674-018-4
IS - 2184-4305
AU - Nassef, A.
AU - Mahfouf, M.
AU - Ting, C.
AU - Elsamahy, E.
AU - Linkens, D.
AU - Denaï, M.
PY - 2010
SP - 252
EP - 257
DO - 10.5220/0002724702520257
PB - SciTePress