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
| Autor: | Basil Sharrack, Elisa Gervasoni, Davide Cattaneo, Lorenza Angelini, Krishnan Padmakumari Sivaraman Nair, Claudia Mazzà, Maurizio Ferrarin, Ilaria Carpinella, David Paling |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male 030506 rehabilitation medicine.medical_specialty gait metrics Multiple Sclerosis Computer science media_common.quotation_subject autocorrelation Wearable computer Context (language use) Accelerometer Biochemistry Article Analytical Chemistry sampling frequency 03 medical and health sciences Acceleration Wearable Electronic Devices 0302 clinical medicine Physical medicine and rehabilitation Gait (human) Inertial measurement unit six-minute walk Accelerometry medicine Humans Quality (business) Electrical and Electronic Engineering Instrumentation Gait media_common Retrospective Studies harmonic ratio wearable sensors test-retest reliability Middle Aged Atomic and Molecular Physics and Optics 3. Good health Female 0305 other medical science 030217 neurology & neurosurgery |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 20 Issue 1 |
| ISSN: | 1424-8220 |
| Popis: | 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. This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors’ view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|