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

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 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>≤</mml:mo> <mml:mn>2</mml:mn></mml:mrow> </mml:math> and Brooke scores <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>></mml:mo> <mml:mn>2</mml:mn></mml:mrow> </mml:math> , 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: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.94 and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.90; SMA: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.78 and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.81) and the workspace volume (DMD: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.92; SMA <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 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.

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Journal
Journal of NeuroEngineering and Rehabilitation
Published
2025-03-18
DOI
https://doi.org/10.1186/s12984-025-01602-2
Primary Topic
Neurogenetic and Muscular Disorders Research
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article
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article

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

Carme Torras, J. Expósito, Rosa Pàmies‐Vilà, Alessandra Favata et al.
2 links
Journal of NeuroEngineering and Rehabilitation
Neurogenetic and Muscular Disorders Research
article

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

Carme Torras, J. Expósito, Rosa Pàmies‐Vilà, Alessandra Favata, Josep M. Font-Llagunes, Daniel Natera‐de Benito, Luc van Noort, Roger Gallart-Agut, Julita Medina-Cantillo
article en

Abstract

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 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>≤</mml:mo> <mml:mn>2</mml:mn></mml:mrow> </mml:math> and Brooke scores <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>></mml:mo> <mml:mn>2</mml:mn></mml:mrow> </mml:math> , 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: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.94 and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.90; SMA: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.78 and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.81) and the workspace volume (DMD: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 0.92; SMA <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ρ</mml:mi></mml:math> = 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.

Journal of NeuroEngineering and RehabilitationVol. 22(1)
Hospital Sant Joan de Déu Barcelona (ES), Institut de Robòtica i Informàtica Industrial (ES), Sant Joan de Déu Research Foundation (ES), Institut de Recerca Sant Joan de Déu, Universitat Politècnica de Catalunya (ES)
Fundació la Marató de TV3, Agència de Gestió d'Ajuts Universitaris i de Recerca
Openalex Percentile: Top 92%
Neurogenetic and Muscular Disorders Research
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