Is a Wearable Sensor-Based Characterisation of Gait Robust Enough to Overcome Differences Between Measurement Protocols? A Multi-Centric Pragmatic Study in Patients with Multiple Sclerosis.
accelerometry
autocorrelation
gait metrics
harmonic ratio
multiple sclerosis
sampling frequency
six-minute walk
test-retest reliability
wearable sensors
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
21 Dec 2019
21 Dec 2019
Historique:
received:
06
11
2019
revised:
17
12
2019
accepted:
18
12
2019
entrez:
28
12
2019
pubmed:
28
12
2019
medline:
30
4
2020
Statut:
epublish
Résumé
Inertial measurement units (IMUs) allow accurate quantification of gait impairment of people with multiple sclerosis (pwMS). Nonetheless, it is not clear how IMU-based metrics might be influenced by pragmatic aspects associated with clinical translation of this approach, such as data collection settings and gait protocols. In this study, we hypothesised that these aspects do not significantly alter those characteristics of gait that are more related to quality and energetic efficiency and are quantifiable via acceleration related metrics, such as intensity, smoothness, stability, symmetry, and regularity. To test this hypothesis, we compared 33 IMU-based metrics extracted from data, retrospectively collected by two independent centres on two matched cohorts of pwMS. As a worst-case scenario, a walking test was performed in the two centres at a different speed along corridors of different lengths, using different IMU systems, which were also positioned differently. The results showed that the majority of the temporal metrics (9 out of 12) exhibited significant between-centre differences. Conversely, the between-centre differences in the gait quality metrics were small and comparable to those associated with a test-retest analysis under equivalent conditions. Therefore, the gait quality metrics are promising candidates for reliable multi-centric studies aiming at assessing rehabilitation interventions within a routine clinical context.
Identifiants
pubmed: 31877760
pii: s20010079
doi: 10.3390/s20010079
pmc: PMC6983011
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIHR through the Sheffield Biomedical Research Centre
ID : IS-BRC-1215-20017
Organisme : European Union's Horizon 2020 research and innovation programme and EFPIA via the Innovative Medicine Initiative 2
ID : IMI22017-13-7-820820
Organisme : UK Engineering and Physical Sciences Research Council, MultiSim
ID : EP/K03877X/1
Organisme : UK Engineering and Physical Sciences Research Council, MultiSim2
ID : EP/S032940/1
Organisme : Italian Ministry of Health, Ricerca Corrente
ID : GR-2009-1604984
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