Imu-based kinematic analysis to enhance upper limb motor function assessment in neuromuscular diseases


Por: Favata A, Gallart-Agut R, van Noort L, Exposito-Escudero JM, Medina J, Torras C, Natera-de Benito D, Font-Llagunes JM and Pàmies R

Publicada: 18 mar 2025 Ahead of Print: 18 mar 2025
Resumen:
Duchenne muscular dystrophy (DMD) and spinal muscular atrophy (SMA) are neuromuscular diseases that lead to progressive muscle degeneration and weakness. Recent therapeutic advances for DMD and SMA highlight the need for accurate clinical evaluation. Traditionally, motor function of the upper limbs is assessed using motor function scales. However, these scales are influenced by clinician's interpretation and may lack accuracy. For this reason, clinicians are becoming interested in finding alternative solutions. In this context, Inertial Measurement Units (IMUs) have gained popularity, offering the possibility to quantitatively and objectively analyze motor function of patients to support clinicians' assessments. We analyzed upper limb kinematics of two groups of children with neuromuscular diseases, seventeen DMD patients and fifteen SMA patients, while performing the corresponding clinical assessment. These two groups were further subdivided into two categories (Category A and Category B), according to disease severity (Brooke scores <= 2 and Brooke scores >2, respectively). The results were compared against a group of ten healthy children. The metrics showing the strongest correlation with the clinical score were the workspace area in the frontal and transverse plane (DMD: rho = 0.94 and rho = 0.90; SMA: rho = 0.78 and rho = 0.81) and the workspace volume (DMD: rho = 0.92; SMA rho = 0.81). Additionally, statistically significant differences were found not only between healthy children and those with neuromuscular disease, but also across severity levels within the patient group. These results represent a first step toward validating IMU-based systems to helping clinicians to accurately quantify the motor status of children with neuromuscular diseases. Furthermore, data collected with inertial sensors can provide clinicians with additional information not available through subjective observation.

Filiaciones:
Favata A:
 Department of Mechanical Engineering and Institute for Research and Innovation in Health (IRIS), Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain

 Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain

Gallart-Agut R:
 Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028, Barcelona, Spain

van Noort L:
 Department of Mechanical Engineering and Institute for Research and Innovation in Health (IRIS), Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain

Exposito-Escudero JM:
 Neuromuscular Unit, Department of Neurology, Hospital Sant Joan de Déu, Barcelona, Spain

 Applied Research in Neuromuscular Diseases, Institut de Recerca Sant Joan de Déu, Barcelona, Spain

Medina J:
 Applied Research in Neuromuscular Diseases, Institut de Recerca Sant Joan de Déu, Barcelona, Spain

 Department of Rehabilitation, Hospital Sant Joan de Déu, Barcelona, Spain

Torras C:
 Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028, Barcelona, Spain

Natera-de Benito D:
 Neuromuscular Unit, Department of Neurology, Hospital Sant Joan de Déu, Barcelona, Spain

 Applied Research in Neuromuscular Diseases, Institut de Recerca Sant Joan de Déu, Barcelona, Spain

Font-Llagunes JM:
 Department of Mechanical Engineering and Institute for Research and Innovation in Health (IRIS), Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain

 Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain

Pàmies R:
 Department of Mechanical Engineering and Institute for Research and Innovation in Health (IRIS), Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain

 Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain
ISSN: 17430003





Journal of NeuroEngineering and Rehabilitation
Editorial
BMC, CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 22 Número: 1
Páginas: 63-63
WOS Id: 001449498500001
ID de PubMed: 40102886
imagen Green Submitted, gold

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