000126888 001__ 126888
000126888 005__ 20241125101156.0
000126888 0247_ $$2doi$$a10.3390/s23136017
000126888 0248_ $$2sideral$$a134246
000126888 037__ $$aART-2023-134246
000126888 041__ $$aeng
000126888 100__ $$0(orcid)0000-0002-1297-0691$$aKontaxis, Spyridon$$uUniversidad de Zaragoza
000126888 245__ $$aAutomatic assessment of the 2-minute walk distance for remote monitoring of people with multiple sclerosis
000126888 260__ $$c2023
000126888 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126888 5203_ $$aThe aim of this study was to investigate the feasibility of automatically assessing the 2-Minute Walk Distance (2MWD) for monitoring people with multiple sclerosis (pwMS). For 154 pwMS, MS-related clinical outcomes as well as the 2MWDs as evaluated by clinicians and derived from accelerometer data were collected from a total of 323 periodic clinical visits. Accelerometer data from a wearable device during 100 home-based 2MWD assessments were also acquired. The error in estimating the 2MWD was validated for walk tests performed at hospital, and then the correlation (r) between clinical outcomes and home-based 2MWD assessments was evaluated. Robust performance in estimating the 2MWD from the wearable device was obtained, yielding an error of less than 10% in about two-thirds of clinical visits. Correlation analysis showed that there is a strong association between the actual and the estimated 2MWD obtained either at hospital (r = 0.71) or at home (r = 0.58). Furthermore, the estimated 2MWD exhibits moderate-to-strong correlation with various MS-related clinical outcomes, including disability and fatigue severity scores. Automatic assessment of the 2MWD in pwMS is feasible with the usage of a consumer-friendly wearable device in clinical and non-clinical settings. Wearable devices can also enhance the assessment of MS-related clinical outcomes.
000126888 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T39-23R$$9info:eu-repo/grantAgreement/EC/H2020/115902/EU/Remote Assessment of Disease and Relapse in Central Nervous System Disorders/RADAR-CNS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 115902-RADAR-CNS$$9info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131106B-I00
000126888 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000126888 590__ $$a3.4$$b2023
000126888 592__ $$a0.786$$b2023
000126888 591__ $$aCHEMISTRY, ANALYTICAL$$b34 / 106 = 0.321$$c2023$$dQ2$$eT1
000126888 593__ $$aInstrumentation$$c2023$$dQ1
000126888 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b24 / 76 = 0.316$$c2023$$dQ2$$eT1
000126888 593__ $$aAnalytical Chemistry$$c2023$$dQ1
000126888 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b122 / 353 = 0.346$$c2023$$dQ2$$eT2
000126888 593__ $$aAtomic and Molecular Physics, and Optics$$c2023$$dQ1
000126888 593__ $$aInformation Systems$$c2023$$dQ2
000126888 593__ $$aMedicine (miscellaneous)$$c2023$$dQ2
000126888 593__ $$aBiochemistry$$c2023$$dQ2
000126888 593__ $$aElectrical and Electronic Engineering$$c2023$$dQ2
000126888 594__ $$a7.3$$b2023
000126888 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126888 700__ $$aLaporta, Estela
000126888 700__ $$aGarcia, Esther
000126888 700__ $$aMartinis, Matteo
000126888 700__ $$aLeocani, Letizia
000126888 700__ $$aRoselli, Lucia
000126888 700__ $$aBuron, Mathias Due
000126888 700__ $$aGuerrero, Ana Isabel
000126888 700__ $$aZabala, Ana
000126888 700__ $$aCummins, Nicholas
000126888 700__ $$aVairavan, Srinivasan
000126888 700__ $$aHotopf, Matthew
000126888 700__ $$aDobson, Richard J. B.
000126888 700__ $$aNarayan, Vaibhav A.
000126888 700__ $$aLa Porta, Maria Libera
000126888 700__ $$aCosta, Gloria Dalla
000126888 700__ $$aMagyari, Melinda
000126888 700__ $$aSørensen, Per Soelberg
000126888 700__ $$aNos, Carlos
000126888 700__ $$0(orcid)0000-0003-1272-0550$$aBailon, Raquel$$uUniversidad de Zaragoza
000126888 700__ $$aComi, Giancarlo
000126888 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000126888 773__ $$g23, 13 (2023), 6017 [11 pp.]$$pSensors$$tSensors$$x1424-8220
000126888 8564_ $$s750017$$uhttps://zaguan.unizar.es/record/126888/files/texto_completo.pdf$$yVersión publicada
000126888 8564_ $$s2623785$$uhttps://zaguan.unizar.es/record/126888/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126888 909CO $$ooai:zaguan.unizar.es:126888$$particulos$$pdriver
000126888 951__ $$a2024-11-22-12:09:32
000126888 980__ $$aARTICLE