<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>11</volume><submitter>Salis F</submitter><funding>Innovative Medicines Initiative</funding><funding>European Federation of Pharmaceutical Industries and Associations</funding><funding>Horizon 2020</funding><funding>Wellcome Trust</funding><pubmed_abstract>&lt;b>Introduction:&lt;/b> Accurately assessing people's gait, especially in real-world conditions and in case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in gait complexity. To improve the estimation of gait-related digital mobility outcomes (DMOs) in real-world scenarios, this study presents a wearable multi-sensor system (INDIP), integrating complementary sensing approaches (two plantar pressure insoles, three inertial units and two distance sensors). &lt;b>Methods:&lt;/b> The INDIP technical validity was assessed against stereophotogrammetry during a laboratory experimental protocol comprising structured tests (including continuous curvilinear and rectilinear walking and steps) and a simulation of daily-life activities (including intermittent gait an</pubmed_abstract><journal>Frontiers in bioengineering and biotechnology</journal><pagination>1143248</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10194657</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A multi-sensor wearable system for the assessment of diseased gait in real-world conditions.</pubmed_title><pmcid>PMC10194657</pmcid><pubmed_authors>Salis F</pubmed_authors><pubmed_authors>Eskofier BM</pubmed_authors><pubmed_authors>Buckley E</pubmed_authors><pubmed_authors>Maetzler W</pubmed_authors><pubmed_authors>Kluge F</pubmed_authors><pubmed_authors>Del Din S</pubmed_authors><pubmed_authors>Alcock L</pubmed_authors><pubmed_authors>Cereatti A</pubmed_authors><pubmed_authors>Scott K</pubmed_authors><pubmed_authors>Garcia-Aymerich J</pubmed_authors><pubmed_authors>Schwickert L</pubmed_authors><pubmed_authors>D'Ascanio I</pubmed_authors><pubmed_authors>Hume EC</pubmed_authors><pubmed_authors>Caruso M</pubmed_authors><pubmed_authors>Palmerini L</pubmed_authors><pubmed_authors>Kuederle A</pubmed_authors><pubmed_authors>Della Croce U</pubmed_authors><pubmed_authors>Carsin AE</pubmed_authors><pubmed_authors>Singleton D</pubmed_authors><pubmed_authors>Gazit E</pubmed_authors><pubmed_authors>Koch S</pubmed_authors><pubmed_authors>Sharrack B</pubmed_authors><pubmed_authors>Hansen C</pubmed_authors><pubmed_authors>Kirk C</pubmed_authors><pubmed_authors>Mazza C</pubmed_authors><pubmed_authors>Bertuletti S</pubmed_authors><pubmed_authors>Aminian K</pubmed_authors><pubmed_authors>Mueller A</pubmed_authors><pubmed_authors>Neatrour I</pubmed_authors><pubmed_authors>Chiari L</pubmed_authors><pubmed_authors>Brown P</pubmed_authors><pubmed_authors>Rochester L</pubmed_authors><pubmed_authors>Vereijken B</pubmed_authors><pubmed_authors>Vogiatzis I</pubmed_authors><pubmed_authors>Caulfield B</pubmed_authors><pubmed_authors>Hausdorff JM</pubmed_authors><pubmed_authors>Bonci T</pubmed_authors><pubmed_authors>For The Mobilise-D Consortium</pubmed_authors><pubmed_authors>Becker C</pubmed_authors><pubmed_authors>Mico-Amigo EM</pubmed_authors><pubmed_authors>Paraschiv-Ionescu A</pubmed_authors><pubmed_authors>Yarnall AJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>A multi-sensor wearable system for the assessment of diseased gait in real-world conditions.</name><description>&lt;b>Introduction:&lt;/b> Accurately assessing people's gait, especially in real-world conditions and in case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in gait complexity. To improve the estimation of gait-related digital mobility outcomes (DMOs) in real-world scenarios, this study presents a wearable multi-sensor system (INDIP), integrating complementary sensing approaches (two plantar pressure insoles, three inertial units and two distance sensors). &lt;b>Methods:&lt;/b> The INDIP technical validity was assessed against stereophotogrammetry during a laboratory experimental protocol comprising structured tests (including continuous curvilinear and rectilinear walking and steps) and a simulation of daily-life activities (including intermittent gait an</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2026-06-03T21:28:14.177Z</modification><creation>2025-04-06T16:48:29.351Z</creation></dates><accession>S-EPMC10194657</accession><cross_references><pubmed>37214281</pubmed><doi>10.3389/fbioe.2023.1143248</doi></cross_references></HashMap>