P-values Between Simple Indicators for Spasticity Quantification in a 9-Person Pilot Study

Nine individuals with upper-limb spasticity participated in a pilot study to develop an objective assessment method. A wearable system captured muscle activation, joint kinematics, and resistance force during passive mobilizations, from which six area-under-the-curve indicators were derived. Juan Manuel Rosero Ñañez authored this dataset, last updated on 2026-05-04, which contains the statistical results, including a Composite Index that differentiated spasticity severity levels.

Use Cases

• Validate simple biomechanical indicators for spasticity based on force, sEMG, and angular velocity data.
• Replicate the construction of a weighted Composite Index for spasticity stratification using min-max normalization.
• Analyze the contribution of specific indicators, such as sEMG activity during slow stretch (AUC sEMG R2), to overall spasticity scores.
• Perform principal component analysis on multimodal sensor data to identify latent components explaining variance in spasticity.

Strengths

• Data originates from a designed multimodal instrument integrating surface electromyography, inertial measurement units, and force sensing resistors.
• Principal component analysis on the derived indicators accounted for 83.86% of the total variance observed across participants.
• The constructed Composite Index showed statistical significance in differentiating spasticity severity (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 at 5.5 KB, reflecting the limited scope of a 9-person pilot study.

Provenance

Source

Juan Manuel Rosero Ñañez

Collection Method

Data collected via a wearable sensor system during standardized passive mobilizations of the upper limb.

Time Range

null

Freshness

Last updated 2026-05-04 17:41:13; freshness should be verified.

Geography

null