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USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS

It is desirable to assess older adults’ health status from their routine activities, identify tipping points based on quantitative metrics, and evaluate the potential risks. Such assessments based on infrequently measured, traditional physical performance instruments fall short of sensitivity as wel...

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Detalles Bibliográficos
Autores principales: Liu, Jian, Heasley, Beverly, Crist, Janice D, Shea, kimberly D, Plank, Lorraine M Martin, Phillips, Linda R, Peterson, Rachel L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841103/
http://dx.doi.org/10.1093/geroni/igz038.2220
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author Liu, Jian
Heasley, Beverly
Crist, Janice D
Shea, kimberly D
Plank, Lorraine M Martin
Phillips, Linda R
Peterson, Rachel L
author_facet Liu, Jian
Heasley, Beverly
Crist, Janice D
Shea, kimberly D
Plank, Lorraine M Martin
Phillips, Linda R
Peterson, Rachel L
author_sort Liu, Jian
collection PubMed
description It is desirable to assess older adults’ health status from their routine activities, identify tipping points based on quantitative metrics, and evaluate the potential risks. Such assessments based on infrequently measured, traditional physical performance instruments fall short of sensitivity as well as reliability. In this research, we investigate multiple types of data collected continuously from older adults wearing fitness watches, which are equipped with various wearable wireless sensors. We develop a methodology to fuse the information from multivariate data streams and define a new synthesized metric to detect significant physiological transitions that lead to tipping points. Both sensitivity- and robustness-analysis are conducted to evaluate the risks of miss-detection and false alarm. The detection results are cross-validated by the self-reported data from daily diaries and questionnaires.
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spelling pubmed-68411032019-11-15 USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS Liu, Jian Heasley, Beverly Crist, Janice D Shea, kimberly D Plank, Lorraine M Martin Phillips, Linda R Peterson, Rachel L Innov Aging Session 3120 (Symposium) It is desirable to assess older adults’ health status from their routine activities, identify tipping points based on quantitative metrics, and evaluate the potential risks. Such assessments based on infrequently measured, traditional physical performance instruments fall short of sensitivity as well as reliability. In this research, we investigate multiple types of data collected continuously from older adults wearing fitness watches, which are equipped with various wearable wireless sensors. We develop a methodology to fuse the information from multivariate data streams and define a new synthesized metric to detect significant physiological transitions that lead to tipping points. Both sensitivity- and robustness-analysis are conducted to evaluate the risks of miss-detection and false alarm. The detection results are cross-validated by the self-reported data from daily diaries and questionnaires. Oxford University Press 2019-11-08 /pmc/articles/PMC6841103/ http://dx.doi.org/10.1093/geroni/igz038.2220 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Session 3120 (Symposium)
Liu, Jian
Heasley, Beverly
Crist, Janice D
Shea, kimberly D
Plank, Lorraine M Martin
Phillips, Linda R
Peterson, Rachel L
USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS
title USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS
title_full USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS
title_fullStr USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS
title_full_unstemmed USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS
title_short USING HEALTH INFORMATION FROM AFFORDABLE WEARABLE DEVICES FOR PREDICTING IMPENDING TIPPING POINTS
title_sort using health information from affordable wearable devices for predicting impending tipping points
topic Session 3120 (Symposium)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841103/
http://dx.doi.org/10.1093/geroni/igz038.2220
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