000120065 001__ 120065
000120065 005__ 20240319081012.0
000120065 0247_ $$2doi$$a10.1016/j.cmpb.2022.107204
000120065 0248_ $$2sideral$$a130946
000120065 037__ $$aART-2022-130946
000120065 041__ $$aeng
000120065 100__ $$aSun, Shaoxiong
000120065 245__ $$aThe utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions
000120065 260__ $$c2022
000120065 5060_ $$aAccess copy available to the general public$$fUnrestricted
000120065 5203_ $$aBackground and objectives Multiple sclerosis (MS) is a progressive inflammatory and neurodegenerative disease of the central nervous system affecting over 2.5 million people globally. In-clinic six-minute walk test (6MWT) is a widely used objective measure to evaluate the progression of MS. Yet, it has limitations such as the need for a clinical visit and a proper walkway. The widespread use of wearable devices capable of depicting patients’ activity profiles has the potential to assess the level of MS-induced disability in free-living conditions.
Methods In this work, we extracted 96 features in different temporal granularities (from minute-level to day-level) from wearable data and explored their utility in estimating 6MWT scores in a European (Italy, Spain, and Denmark) MS cohort of 337 participants over an average of 10 months’ duration. We combined these features with participants’ demographics using three regression models including elastic net, gradient boosted trees and random forest. In addition, we quantified the individual feature's contribution using feature importance in these regression models, linear mixed-effects models, generalized estimating equations, and correlation-based feature selection (CFS).
Results The results showed promising estimation performance with R2 of 0.30, which was derived using random forest after CFS. This model was able to distinguish the participants with low disability from those with high disability. Furthermore, we observed that the minute-level (≤ 8 minutes) step count, particularly those capturing the upper end of the step count distribution, had a stronger association with 6MWT. The use of a walking aid was indicative of ambulatory function measured through 6MWT.
Conclusions This study demonstrates the utility of wearables devices in assessing ambulatory impairments in people with MS in free-living conditions and provides a basis for future investigation into the clinical relevance.
000120065 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000120065 590__ $$a6.1$$b2022
000120065 592__ $$a1.118$$b2022
000120065 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b25 / 110 = 0.227$$c2022$$dQ1$$eT1
000120065 593__ $$aComputer Science Applications$$c2022$$dQ1
000120065 591__ $$aMEDICAL INFORMATICS$$b7 / 31 = 0.226$$c2022$$dQ1$$eT1
000120065 593__ $$aSoftware$$c2022$$dQ1
000120065 591__ $$aENGINEERING, BIOMEDICAL$$b22 / 96 = 0.229$$c2022$$dQ1$$eT1
000120065 593__ $$aHealth Informatics$$c2022$$dQ1
000120065 591__ $$aCOMPUTER SCIENCE, THEORY & METHODS$$b15 / 111 = 0.135$$c2022$$dQ1$$eT1
000120065 594__ $$a10.1$$b2022
000120065 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000120065 700__ $$aFolarin, Amos A
000120065 700__ $$aZhang, Yuezhou
000120065 700__ $$aCummins, Nicholas
000120065 700__ $$aLiu, Shuo
000120065 700__ $$aStewart, Callum
000120065 700__ $$aRanjan, Yatharth
000120065 700__ $$aRashid, Zulqarnain
000120065 700__ $$aConde, Pauline
000120065 700__ $$aLaiou, Petroula
000120065 700__ $$aSankesara, Heet
000120065 700__ $$aDalla Costa, Gloria
000120065 700__ $$aLeocani, Letizia
000120065 700__ $$aSørensen, Per Soelberg
000120065 700__ $$aMagyari, Melinda
000120065 700__ $$aGuerrero, Ana Isabel
000120065 700__ $$aZabalza, Ana
000120065 700__ $$aVairavan, Srinivasan
000120065 700__ $$0(orcid)0000-0003-1272-0550$$aBailon, Raquel$$uUniversidad de Zaragoza
000120065 700__ $$aSimblett, Sara
000120065 700__ $$aMyin-Germeys, Inez
000120065 700__ $$aRintala, Aki
000120065 700__ $$aWykes, Til
000120065 700__ $$aNarayan, Vaibhav A
000120065 700__ $$aHotopf, Matthew
000120065 700__ $$aComi, Giancarlo
000120065 700__ $$aDobson, Richard JB
000120065 700__ $$aRADAR-CNS consortium
000120065 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000120065 773__ $$g227 (2022), 107204 [14 pp.]$$pComput. methods programs biomed.$$tComputer Methods and Programs in Biomedicine$$x0169-2607
000120065 8564_ $$s4208609$$uhttps://zaguan.unizar.es/record/120065/files/texto_completo.pdf$$yVersión publicada
000120065 8564_ $$s2448370$$uhttps://zaguan.unizar.es/record/120065/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000120065 909CO $$ooai:zaguan.unizar.es:120065$$particulos$$pdriver
000120065 951__ $$a2024-03-18-15:15:39
000120065 980__ $$aARTICLE