One-Way ANOVA Results for a Composite Index of Upper-Limb Spasticity

Juan Manuel Rosero Ñañez published a dataset containing statistical results from a pilot study on spasticity quantification. The data includes one-way ANOVA results applied to a Composite Index derived from multimodal sensor data (sEMG, IMU, force) collected from nine individuals with cerebral palsy or stroke. The dataset was last updated on May 4, 2026, and is stored in an XLS file of 5.5 KB.

Use Cases

• Validating a multimodal sensor-based spasticity index based on the described Composite Index construction.
• Analyzing the statistical differentiation of spasticity severity levels based on the reported ANOVA results (F=6.38, p=0.0327).
• Investigating the relative contribution of sensor-derived indicators like sEMG activity during slow stretch (AUC sEMG R2).
• Replicating the weighted linear aggregation and min-max normalization method for creating a clinical composite score.

Strengths

• Dataset is focused on a specific, clinically relevant problem with a clearly described multimodal methodology.
• Includes concrete statistical results (F=6.38, p=0.0327, η²=0.68) demonstrating differentiation between severity levels.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Based on a very small pilot cohort of nine individuals, limiting generalizability.
• Description metadata is limited; actual data quality and structure require manual inspection of the 5.5 KB file.

Provenance

Source

Juan Manuel Rosero Ñañez via figshare

Collection Method

Data derived from a pilot study using a wearable system integrating sEMG, IMU, and force sensors during passive mobilizations.

Time Range

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Freshness

Last updated 2026-05-04 17:41:16; freshness should be verified.

Geography

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