Simple Indicators for Spasticity Assessment from a Pilot Study of 9 Patients

An exploratory pilot study by Juan Manuel Rosero Ñañez developed a multimodal instrument for objective spasticity quantification. Data was collected from nine individuals with upper-limb spasticity due to cerebral palsy or stroke using wearable sensors. The dataset contains six area under the curve-based indicators and a Composite Index derived from muscle activation, joint kinematics, and force measurements.

Use Cases

• Developing objective severity classifiers for spasticity based on the Composite Index.
• Analyzing relationships between muscle activation (sEMG) and resistance force during passive mobilizations.
• Validating wearable sensor systems for clinical assessment using the derived simple indicators.
• Exploring latent components in spasticity data via principal component analysis mentioned in the description.

Strengths

• Data is derived from a multimodal instrument integrating surface electromyography, inertial measurement units, and force sensing resistors.
• Principal component analysis accounted for 83.86% of the total variance across participants.
• The Composite Index showed statistical significance in differentiating spasticity severity levels (F=6.38, p=0.0327, η²=0.68).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), reflecting a pilot study with only nine participants.

Provenance

Source

Juan Manuel Rosero Ñañez via figshare.

Collection Method

Data captured during standardized passive mobilizations using a designed wearable sensor system.

Time Range

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Freshness

Last updated 2026-05-04 17:41:12; freshness should be verified.

Geography

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