Data Sheet 1_A systematic review and meta-analysis on dual-task sensor-based motion analys

Iman Hosseini authored a systematic review and meta-analysis examining instrumented dual-task paradigms for dementia detection. The document, published on figshare under a CC-BY-4.0 license and last updated in May 2026, analyzes peer-reviewed studies comparing adults with clinically defined dementia to appropriate comparators. It synthesizes findings on primary motor tasks, secondary cognitive loads, sensor modalities, and analytic approaches.

Use Cases

• Designing instrumented dual-task assessments for dementia screening based on the described motor and cognitive load paradigms.
• Comparing the efficacy of different sensor modalities, such as inertial measurement units and force plates, for motion analysis.
• Developing machine learning models for gait analysis using the pooled effect sizes and outcome measures reported in the meta-analysis.
• Standardizing task instructions and reporting for clinical translation of dual-task assessments across dementia subtypes.

Strengths

• The review follows a PRISMA-guided methodology, indicating a structured and transparent research process.
• Includes a meta-analysis with pooled effects showing consistent group differences in gait parameters between people with dementia and controls.
• The document is openly available under a CC-BY-4.0 license, facilitating reuse and dissemination.

Limitations

• The dataset is a 136.6 KB PDF document, not a structured data file; column-level documentation and sample data are unavailable.
• The literature review is dominated by Alzheimer's disease cohorts, potentially limiting generalizability to other dementia subtypes.
• Row count is unknown, which may limit suitability assessment for quantitative analysis.

Provenance

Source

Iman Hosseini via figshare.

Collection Method

PRISMA-guided systematic review and meta-analysis of peer-reviewed studies.

Freshness

Last updated 2026-05-07 05:43:04.