<p>Individual participant characteristics (n = 9).</p>

Juan Manuel Rosero Ñañez published a dataset on figshare in May 2026 containing individual participant characteristics for a pilot study on objective spasticity quantification. The dataset includes data for nine individuals (3 female, 6 male) with upper-limb spasticity due to cerebral palsy or stroke. It is a small exploratory dataset (5.5 KB) supporting the development of a multimodal instrument using wearable sensors.

Use Cases

• Developing composite indices for spasticity severity based on multimodal sensor data mentioned in the description
• Analyzing relationships between muscle activation (sEMG), kinematics, and resistance force during passive mobilizations
• Validating wearable sensor systems for clinical assessment of conditions like cerebral palsy and stroke
• Conducting pilot studies to inform the design of larger validation cohorts for objective clinical metrics

Strengths

• Data is explicitly licensed under CC-BY-4.0 for open reuse
• Dataset is focused on a specific, clinically relevant problem with a clear methodological description
• Pilot study includes results of statistical analysis (F=6.38, p=0.0327, η²=0.68) demonstrating differentiation of severity levels

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 (9 participants), limiting statistical power and generalizability

Provenance

Source

figshare, author Juan Manuel Rosero Ñañez

Collection Method

Data was collected using a wearable system integrating surface electromyography, inertial measurement units, and force sensing resistors during standardized passive mobilizations.

Time Range

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Freshness

Last updated 2026-05-04 17:41:10; freshness should be verified

Geography

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