A shape-based functional index for objective assessment of pediatric motor function.

Area of Science:

• Biomedical Engineering
• Neurology
• Rehabilitation Medicine

Background:

• Current clinical assessments for neuromuscular disorders like Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD) rely on subjective measures.
• Objective, quantitative methods are needed for accurate monitoring of disease progression and treatment response.

Purpose of the Study:

• To introduce and validate a novel method using wearable sensors for objective motor function assessment in pediatric neuromuscular disorders.
• To identify distinct kinematic patterns indicative of disease progression and treatment effects.

Main Methods:

• Utilized wearable sensors to collect pediatric movement data during daily activities from patients with DMD, SMA, and healthy controls.
• Applied Shape-based Principal Component Analysis to align movement trajectories and extract kinematic patterns.
• Employed partial least squares (PLS) to correlate kinematic patterns with clinical measures like muscle fat infiltration and the Brooke score.

Main Results:

• Identified distinct kinematic patterns, including motion speed variations and asymmetry, in pediatric patients with neuromuscular disorders.
• Found that while some DMD and SMA patients exhibited motor function comparable to controls, SMA patients showed increased motion asymmetry.
• Developed a novel motor function index derived from kinematic data, showing strong correlation (r=0.78) with muscle fat infiltration, Brooke score, and age-related changes.

Conclusions:

• A data-driven approach using wearable sensors and advanced analysis can objectively quantify motor function in children with SMA and DMD.
• This method offers potential for improved longitudinal tracking of treatment efficacy and disease progression in home-based settings.
• The proposed motor function index provides a promising objective measure for clinical use.