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Authors: Hyduke Noshadi 1 ; Shaun Ahmadian 1 ; Hagop Hagopian 1 ; Jonathan Woodbridge 1 ; Foad Dabiri 1 ; Navid Amini 1 ; Majid Sarrafzadeh 1 and Nick Terrafranca 2

Affiliations: 1 University of California, United States ; 2 MesiSens, United States

ISBN: 978-989-674-018-4

Keyword(s): Wireless health, Sensor selection, Plantar pressure sensing, Instability modeling and analysis.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Devices ; Health Engineering and Technology Applications ; Health Information Systems ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Real-Time Systems ; Sensor Networks ; Soft Computing ; Wearable Sensors and Systems

Abstract: In this paper we introduce Hermes, a lightweight smart shoe and its supporting infrastructure aimed at extending instability analysis and human balance monitoring outside of a laboratory environment. By combining embedded sensing, signal processing and modeling techniques we create a scientific tool capable of quantifying high-level measures. The system monitors walking behavior and uses an instability assessment model to generate quantitative value with episodes of activity identified by the physician as important. The model incorporates variability and correlation of features extracted during ambulation that have been identified by geriatric motion study experts as precursors to instability, balance abnormality and possible fall risk. Our experiments demonstrate the feasibility of our model and the complimentary role our system can play by providing long-term monitoring of patients outside a hospital setting at a reduced cost, with greater user convenience, and inference capabili ties that meet physicians and researchers needs. (More)

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Paper citation in several formats:
Noshadi H.; Ahmadian S.; Hagopian H.; Woodbridge J.; Dabiri F.; Amini N.; Sarrafzadeh M.; Terrafranca N. and (2010). HERMES - Mobile Balance and Instability Assessment System.In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 264-270. DOI: 10.5220/0002738202640270

@conference{biosignals10,
author={Hyduke Noshadi and Shaun Ahmadian and Hagop Hagopian and Jonathan Woodbridge and Foad Dabiri and Navid Amini and Majid Sarrafzadeh and Nick Terrafranca},
title={HERMES - Mobile Balance and Instability Assessment System},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={264-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002738202640270},
isbn={978-989-674-018-4},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - HERMES - Mobile Balance and Instability Assessment System
SN - 978-989-674-018-4
AU - Noshadi, H.
AU - Ahmadian, S.
AU - Hagopian, H.
AU - Woodbridge, J.
AU - Dabiri, F.
AU - Amini, N.
AU - Sarrafzadeh, M.
AU - Terrafranca, N.
PY - 2010
SP - 264
EP - 270
DO - 10.5220/0002738202640270

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