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PIGDAssess: Wearable Dual-Task Sensing for Self-Administered PIGD Assessment in Parkinson’s Disease

1. Overview The PIGDAssess Dataset is the first publicly available wearable sensor dataset that provides full item-level annotations for all four subitems of the MDS-UPDRS Postural Instability and Gait Difficulty (PIGD) scale. The dataset is designed to

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CreatorZHANG, Yizhen
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Published2026-04-07
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DOI10.5281/zenodo.19450832
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Licensecc-by-4.0
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views133

1. Overview

The PIGDAssess Dataset is the first publicly available wearable sensor dataset that provides full item-level annotations for all four subitems of the MDS-UPDRS Postural Instability and Gait Difficulty (PIGD) scale. The dataset is designed to support the development of algorithms for fully self-administered, clinician-free Parkinson’s Disease (PD) assessment in both clinical and home environments.

2. Participant Characteristics

The dataset involves a diverse cohort of 35 individuals diagnosed with Parkinson’s Disease, recruited from a tertiary medical center.

  • Demographics: 20 women, 15 men.

  • Age: $68.2 10.5$ years (mean $$ SD).

  • Disease Duration: $5.29 4.2$ years.

  • Clinical Distribution: The cohort spans Hoehn–Yahr (H-Y) stages 1 to 4 (mean $2.17 1.07$).

    • Note: The dataset intentionally includes a robust proportion of Stage 1 (early-stage) and Stage 4 (severe) patients to ensure model generalizability across the entire spectrum of motor impairment.

3. Data Modalities & Equipment

Data were captured using three commodity Inertial Measurement Units (IMUs) positioned as follows:

  • Lumbar (L5): Captures trunk stability and center-of-mass dynamics.

  • Left Foot: Captures stride-level gait metrics.

  • Right Foot: Captures stride-level gait metrics.

4. Experimental Protocol

Participants performed a standardized, brief protocol designed for self-administration. Each session includes:

  • Motor Tasks:

    • Sit-to-stand.

    • Static standing.

    • Walking tasks.

  • Conditions: Each task was performed under two conditions to capture balance-sensitive signatures:

    1. Single-Task: Normal performance.

    2. Dual-Task: Motor task combined with a cognitive task (Serial-3 subtraction).

5. Annotations (Ground Truth)

Each trial is annotated with gold-standard clinical labels provided by experienced movement-disorder clinicians:

  • Subitem Scores: Ordinal scores (0–4) for each of the four UPDRS–PIGD items:

    1. Sit to Stand.
    2. Walking (Gait).

    3. Postural Stability (normally requiring a physical “pull test”).

    4. Rising from Chair.

  • Setting Labels: Data is tagged as either “Clinical Setting” or “Home Setting” to facilitate cross-environment validation.

6. Clinical Significance &

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PIGDAssess: Wearable Dual-Task Sensing for Self-Administered PIGD Assessment… (Full Dataset)Size varies
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Files are hosted on the source repository. Click download to access the full dataset.

ZHANG, Yizhen (2026). PIGDAssess: Wearable Dual-Task Sensing for Self-Administered PIGD Assessment in Parkinson’s Disease. https://doi.org/10.5281/zenodo.19450832