loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mario Sáenz Espinoza and Miguel Velhote Correia

Affiliation: University of Porto and INESC-TEC, Portugal

ISBN: 978-989-758-011-6

Keyword(s): Fall Prediction, Qualitative Assessment, Quantitative Assessment, Wearable Technologies, Screening Tool.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Devices ; Health Information Systems ; Human-Computer Interaction ; Monitoring and Telemetry ; Physiological Computing Systems ; Wearable Sensors and Systems

Abstract: For the first time in history, the world shows a clear trend towards aging. This poses an intrinsic hazard for the ever growing population, which becomes more vulnerable to common age-related illnesses and conditions. One of the most serious risks elders face is falling, as it is responsible for countless admissions to geriatric care institutions and thousands of deaths each year. In an effort to improve elders’ safety and quality of life many groups have address the fall prevention issue, coming to several different results as of what variables are the most important to consider in a fall prediction tool. These variables range from qualitative aspects (history of falls, dementia, use of medication, etc.) to quantitative ones (total walked distance per day, walking cadence, center of mass, etc.), but none of them per se seems to deliver a definite and complete answer to the problem at hand. The paper herein aims to present a new hybrid approach, which combines both the highest co-rela ted qualitative and quantitative biovariables in a single tool: the MATHOV + QAVS, which is proposed as a new fall assessment screening tool and eventually as baseline criteria for a complete elder fall prediction system. (More)

PDF ImageFull Text

Download
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 18.207.137.4

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:
Sáenz Espinoza, M. and Velhote Correia, M. (2014). Setting the Criteria for the MATHOV + QAVS Tool - Qualitative and Quantitative Aspects for Wearable Fall Prediction.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 69-75. DOI: 10.5220/0004914200690075

@conference{biosignals14,
author={Mario Sáenz Espinoza. and Miguel Velhote Correia.},
title={Setting the Criteria for the MATHOV + QAVS Tool - Qualitative and Quantitative Aspects for Wearable Fall Prediction},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)},
year={2014},
pages={69-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004914200690075},
isbn={978-989-758-011-6},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)
TI - Setting the Criteria for the MATHOV + QAVS Tool - Qualitative and Quantitative Aspects for Wearable Fall Prediction
SN - 978-989-758-011-6
AU - Sáenz Espinoza, M.
AU - Velhote Correia, M.
PY - 2014
SP - 69
EP - 75
DO - 10.5220/0004914200690075

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.