Age and environment-related differences in gait in healthy adults using wearables

Abstract Technological advances in multimodal wearable and connected devices have enabled the measurement of human movement and physiology in naturalistic settings. The ability to collect continuous activity monitoring data with digital devices in real-world environments has opened unprecedented opp...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Matthew D. Czech, Dimitrios Psaltos, Hao Zhang, Tomasz Adamusiak, Monica Calicchio, Amey Kelekar, Andrew Messere, Koene R. A. Van Dijk, Vesper Ramos, Charmaine Demanuele, Xuemei Cai, Mar Santamaria, Shyamal Patel, F. Isik Karahanoglu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/8bf5093e50df4acb8b662d0361e1cad5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8bf5093e50df4acb8b662d0361e1cad5
record_format	dspace
spelling	oai:doaj.org-article:8bf5093e50df4acb8b662d0361e1cad52021-12-02T19:17:04ZAge and environment-related differences in gait in healthy adults using wearables10.1038/s41746-020-00334-y2398-6352https://doaj.org/article/8bf5093e50df4acb8b662d0361e1cad52020-09-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00334-yhttps://doaj.org/toc/2398-6352Abstract Technological advances in multimodal wearable and connected devices have enabled the measurement of human movement and physiology in naturalistic settings. The ability to collect continuous activity monitoring data with digital devices in real-world environments has opened unprecedented opportunity to establish clinical digital phenotypes across diseases. Many traditional assessments of physical function utilized in clinical trials are limited because they are episodic, therefore, cannot capture the day-to-day temporal fluctuations and longitudinal changes in activity that individuals experience. In order to understand the sensitivity of gait speed as a potential endpoint for clinical trials, we investigated the use of digital devices during traditional clinical assessments and in real-world environments in a group of healthy younger (n = 33, 18–40 years) and older (n = 32, 65–85 years) adults. We observed good agreement between gait speed estimated using a lumbar-mounted accelerometer and gold standard system during the performance of traditional gait assessment task in-lab, and saw discrepancies between in-lab and at-home gait speed. We found that gait speed estimated in-lab, with or without digital devices, failed to differentiate between the age groups, whereas gait speed derived during at-home monitoring was able to distinguish the age groups. Furthermore, we found that only three days of at-home monitoring was sufficient to reliably estimate gait speed in our population, and still capture age-related group differences. Our results suggest that gait speed derived from activities during daily life using data from wearable devices may have the potential to transform clinical trials by non-invasively and unobtrusively providing a more objective and naturalistic measure of functional ability.Matthew D. CzechDimitrios PsaltosHao ZhangTomasz AdamusiakMonica CalicchioAmey KelekarAndrew MessereKoene R. A. Van DijkVesper RamosCharmaine DemanueleXuemei CaiMar SantamariaShyamal PatelF. Isik KarahanogluNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Matthew D. Czech Dimitrios Psaltos Hao Zhang Tomasz Adamusiak Monica Calicchio Amey Kelekar Andrew Messere Koene R. A. Van Dijk Vesper Ramos Charmaine Demanuele Xuemei Cai Mar Santamaria Shyamal Patel F. Isik Karahanoglu Age and environment-related differences in gait in healthy adults using wearables
description	Abstract Technological advances in multimodal wearable and connected devices have enabled the measurement of human movement and physiology in naturalistic settings. The ability to collect continuous activity monitoring data with digital devices in real-world environments has opened unprecedented opportunity to establish clinical digital phenotypes across diseases. Many traditional assessments of physical function utilized in clinical trials are limited because they are episodic, therefore, cannot capture the day-to-day temporal fluctuations and longitudinal changes in activity that individuals experience. In order to understand the sensitivity of gait speed as a potential endpoint for clinical trials, we investigated the use of digital devices during traditional clinical assessments and in real-world environments in a group of healthy younger (n = 33, 18–40 years) and older (n = 32, 65–85 years) adults. We observed good agreement between gait speed estimated using a lumbar-mounted accelerometer and gold standard system during the performance of traditional gait assessment task in-lab, and saw discrepancies between in-lab and at-home gait speed. We found that gait speed estimated in-lab, with or without digital devices, failed to differentiate between the age groups, whereas gait speed derived during at-home monitoring was able to distinguish the age groups. Furthermore, we found that only three days of at-home monitoring was sufficient to reliably estimate gait speed in our population, and still capture age-related group differences. Our results suggest that gait speed derived from activities during daily life using data from wearable devices may have the potential to transform clinical trials by non-invasively and unobtrusively providing a more objective and naturalistic measure of functional ability.
format	article
author	Matthew D. Czech Dimitrios Psaltos Hao Zhang Tomasz Adamusiak Monica Calicchio Amey Kelekar Andrew Messere Koene R. A. Van Dijk Vesper Ramos Charmaine Demanuele Xuemei Cai Mar Santamaria Shyamal Patel F. Isik Karahanoglu
author_facet	Matthew D. Czech Dimitrios Psaltos Hao Zhang Tomasz Adamusiak Monica Calicchio Amey Kelekar Andrew Messere Koene R. A. Van Dijk Vesper Ramos Charmaine Demanuele Xuemei Cai Mar Santamaria Shyamal Patel F. Isik Karahanoglu
author_sort	Matthew D. Czech
title	Age and environment-related differences in gait in healthy adults using wearables
title_short	Age and environment-related differences in gait in healthy adults using wearables
title_full	Age and environment-related differences in gait in healthy adults using wearables
title_fullStr	Age and environment-related differences in gait in healthy adults using wearables
title_full_unstemmed	Age and environment-related differences in gait in healthy adults using wearables
title_sort	age and environment-related differences in gait in healthy adults using wearables
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/8bf5093e50df4acb8b662d0361e1cad5
work_keys_str_mv	AT matthewdczech ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT dimitriospsaltos ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT haozhang ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT tomaszadamusiak ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT monicacalicchio ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT ameykelekar ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT andrewmessere ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT koeneravandijk ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT vesperramos ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT charmainedemanuele ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT xuemeicai ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT marsantamaria ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT shyamalpatel ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables AT fisikkarahanoglu ageandenvironmentrelateddifferencesingaitinhealthyadultsusingwearables
_version_	1718376925198548992

Age and environment-related differences in gait in healthy adults using wearables

Ejemplares similares