Digital biomechanical assessment of gait in patients with peripheral neuropathies
Tejada-Illa, Clara (Institut de Recerca Sant Pau)
Pegueroles, Jordi (Ephion Health)
Vidal-Fernández, Núria (Institut de Recerca Sant Pau)
Martín-Aguilar, Lorena (Institut de Recerca Sant Pau)
Caballero-Ávila, Marta (Institut de Recerca Sant Pau)
Lleixà, Cinta (Institut de Recerca Sant Pau)
Collet Vidiella, Roger (Institut de Recerca Sant Pau)
Llansó, Laura (Hospital de la Santa Creu i Sant Pau (Barcelona, Catalunya))
Carbayo Viejo, Álvaro (Institut de Recerca Sant Pau)
Vesperinas-Castro, Ana (Hospital de la Santa Creu i Sant Pau (Barcelona, Catalunya))
Querol, Luis (Institut de Recerca Sant Pau)
Pascual-Goñi, Elba (Institut de Recerca Sant Pau)
Claramunt-Molet, Mireia (Ephion Health)
Pi-Cervera, Ariadna (Ephion Health)
Heras-Delgado, Ainhoa (Ephion Health)
Gascón-Fontal, Jesus (Ephion Health)
Idelsohn Zielonka, Sebastian (Centre Tecnològic de Catalunya)
Rico, Mari (Ephion Health)
Universitat Autònoma de Barcelona. Departament de Medicina

Fecha:	2025
Resumen:	Background: The 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. Methods: We 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). Results: We 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. Conclusions: Our 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.
Ayudas:	Instituto de Salud Carlos III PI22/00387
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Ataxia ; Biomechanical features ; Gait disfunction ; Neuropathies ; Steppage ; Wearable devices
Publicado en:	Journal of neuroengineering and rehabilitation, Vol. 22, Num. 1 (December 2025) , p. 159, ISSN 1743-0003

DOI: 10.1186/s12984-025-01694-w
PMID: 40653470

19 p, 6.6 MB

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Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias de la salud y biociencias > Institut de Recerca Sant Pau
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