Digital biomechanical assessment of gait in patients with peripheral neuropathies

BackgroundThe clinical status and treatment response of patients with peripheral neuropathies (PNs) rely on subjective and inaccurate clinical scales. Wearable sensors have been evaluated successfully in other neurological conditions to study gait and balance. Our aim was to explore the ability of b...

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Authors: Tejada-Illa, C, Pegueroles, J, Claramunt-Molet, M, Pi-Cervera, A, Heras-Delgado, A, Gascón-Fontal, J, Idelsohn-Zielonka, S, Rico, M, Vidal, N, Martin-Aguilar, L, Caballero-Avila, M, Lleixà, C, Collet-Vidiella, R, Llansó, L, Carbayo, A, Vesperinas, A, Querol, L, Pascual-Goñi, E
Format: article
Status:Published version
Publication Date:2025
Country:España
Institution:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
Repository:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
OAI Identifier:oai:iibsantpau.fundanetsuite.com:p19822
Online Access:https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=19822
Access Level:Open access
Keyword:Neuropathies
Gait disfunction
Ataxia
Steppage
Wearable devices
Biomechanical features
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spelling Digital biomechanical assessment of gait in patients with peripheral neuropathiesTejada-Illa, CPegueroles, JClaramunt-Molet, MPi-Cervera, AHeras-Delgado, AGascón-Fontal, JIdelsohn-Zielonka, SRico, MVidal, NMartin-Aguilar, LCaballero-Avila, MLleixà, CCollet-Vidiella, RLlansó, LCarbayo, AVesperinas, AQuerol, LPascual-Goñi, ENeuropathiesGait disfunctionAtaxiaSteppageWearable devicesBiomechanical featuresBackgroundThe clinical status and treatment response of patients with peripheral neuropathies (PNs) rely on subjective and inaccurate clinical scales. Wearable sensors have been evaluated successfully in other neurological conditions to study gait and balance. Our aim was to explore the ability of biomechanical analysis using wearable technology to monitor disease activity in PN.MethodsWe conducted a single-center, longitudinal study to analyze gait parameters in PN patients and healthy controls using wearable biomechanical sensors. We used a novel technology that registers and integrates data from multiple wearable inertial sensors placed at different locations and plantar insoles. This system allows measuring kinematics, spatio-temporal parameters and plantar pressure. Patients wore the wearable system while performing the 2-min walking test (2MWT).ResultsWe included 37 chronic inflammatory demyelinating polyneuropathy (CIDP) patients, 3 chronic ataxic neuropathy, ophthalmoplegia, immunoglobulin M [IgM] paraprotein (CANOMAD) patients, 21 monoclonal gammopathy patients of undetermined significance associated with IgM (IgM-MGUS) patients, 7 patients with autoimmune nodopathies, 11 patients with hereditary neuropathies, and 50 healthy controls. First, we analyzed the sensor's ability to detect changes in ataxia and steppage gait severity and found significant differences in spatiotemporal and angular variables of the gait cycle. Second, we found correlations between biomechanical features and clinical scales and with the specific gait phenotype they associated with. Finally, we demonstrated that this technology is able to capture clinically significant changes in gait features over time.ConclusionsOur study provides proof-of-concept that wearable technology effectively detects and grades gait impairment, captures clinically relevant changes, and could enhance gait assessment in routine care and clinical research for patients with PN.BMC2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=19822Journal of NeuroEngineering and RehabilitationISSN: 17430003reponame:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pauinstname:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)Inglésinfo:eu-repo/semantics/openAccessoai:iibsantpau.fundanetsuite.com:p198222026-06-14T12:41:47Z
dc.title.none.fl_str_mv Digital biomechanical assessment of gait in patients with peripheral neuropathies
title Digital biomechanical assessment of gait in patients with peripheral neuropathies
spellingShingle Digital biomechanical assessment of gait in patients with peripheral neuropathies
Tejada-Illa, C
Neuropathies
Gait disfunction
Ataxia
Steppage
Wearable devices
Biomechanical features
title_short Digital biomechanical assessment of gait in patients with peripheral neuropathies
title_full Digital biomechanical assessment of gait in patients with peripheral neuropathies
title_fullStr Digital biomechanical assessment of gait in patients with peripheral neuropathies
title_full_unstemmed Digital biomechanical assessment of gait in patients with peripheral neuropathies
title_sort Digital biomechanical assessment of gait in patients with peripheral neuropathies
dc.creator.none.fl_str_mv Tejada-Illa, C
Pegueroles, J
Claramunt-Molet, M
Pi-Cervera, A
Heras-Delgado, A
Gascón-Fontal, J
Idelsohn-Zielonka, S
Rico, M
Vidal, N
Martin-Aguilar, L
Caballero-Avila, M
Lleixà, C
Collet-Vidiella, R
Llansó, L
Carbayo, A
Vesperinas, A
Querol, L
Pascual-Goñi, E
author Tejada-Illa, C
author_facet Tejada-Illa, C
Pegueroles, J
Claramunt-Molet, M
Pi-Cervera, A
Heras-Delgado, A
Gascón-Fontal, J
Idelsohn-Zielonka, S
Rico, M
Vidal, N
Martin-Aguilar, L
Caballero-Avila, M
Lleixà, C
Collet-Vidiella, R
Llansó, L
Carbayo, A
Vesperinas, A
Querol, L
Pascual-Goñi, E
author_role author
author2 Pegueroles, J
Claramunt-Molet, M
Pi-Cervera, A
Heras-Delgado, A
Gascón-Fontal, J
Idelsohn-Zielonka, S
Rico, M
Vidal, N
Martin-Aguilar, L
Caballero-Avila, M
Lleixà, C
Collet-Vidiella, R
Llansó, L
Carbayo, A
Vesperinas, A
Querol, L
Pascual-Goñi, E
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Neuropathies
Gait disfunction
Ataxia
Steppage
Wearable devices
Biomechanical features
topic Neuropathies
Gait disfunction
Ataxia
Steppage
Wearable devices
Biomechanical features
description BackgroundThe clinical status and treatment response of patients with peripheral neuropathies (PNs) rely on subjective and inaccurate clinical scales. Wearable sensors have been evaluated successfully in other neurological conditions to study gait and balance. Our aim was to explore the ability of biomechanical analysis using wearable technology to monitor disease activity in PN.MethodsWe conducted a single-center, longitudinal study to analyze gait parameters in PN patients and healthy controls using wearable biomechanical sensors. We used a novel technology that registers and integrates data from multiple wearable inertial sensors placed at different locations and plantar insoles. This system allows measuring kinematics, spatio-temporal parameters and plantar pressure. Patients wore the wearable system while performing the 2-min walking test (2MWT).ResultsWe included 37 chronic inflammatory demyelinating polyneuropathy (CIDP) patients, 3 chronic ataxic neuropathy, ophthalmoplegia, immunoglobulin M [IgM] paraprotein (CANOMAD) patients, 21 monoclonal gammopathy patients of undetermined significance associated with IgM (IgM-MGUS) patients, 7 patients with autoimmune nodopathies, 11 patients with hereditary neuropathies, and 50 healthy controls. First, we analyzed the sensor's ability to detect changes in ataxia and steppage gait severity and found significant differences in spatiotemporal and angular variables of the gait cycle. Second, we found correlations between biomechanical features and clinical scales and with the specific gait phenotype they associated with. Finally, we demonstrated that this technology is able to capture clinically significant changes in gait features over time.ConclusionsOur study provides proof-of-concept that wearable technology effectively detects and grades gait impairment, captures clinically relevant changes, and could enhance gait assessment in routine care and clinical research for patients with PN.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=19822
url https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=19822
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv BMC
publisher.none.fl_str_mv BMC
dc.source.none.fl_str_mv Journal of NeuroEngineering and Rehabilitation
ISSN: 17430003
reponame:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
instname_str Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
reponame_str r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
collection r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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