SMART BEAR: Hearing Aid User Profiles from Multi-Modal Monitoring

The SMART BEAR project, an EU-funded initiative, describes a framework for profiling hearing loss patients. Data collection involves a 12-month continuous monitoring of participants, gathering demographics, audiometric data, cognitive status, habits, and preferences via medical devices, wearables, and clinical assessments. Author Eleftheria Iliadou uploaded this conceptual document to figshare under a CC-BY-4.0 license.

Use Cases

• Predicting patient satisfaction with hearing aids based on logged device operation and user context data.
• Identifying factors correlated with long-term hearing aid usage based on medical, environmental, and social data.
• Constructing explainable patient profiles to understand key factors in hearing rehabilitation success.
• Reducing the need for remote clinical sessions by predicting patient state and behavior.

Strengths

• Data collection framework is designed for a 12-month longitudinal study, enabling time-series analysis.
• Combines heterogeneous data types: device logs, medical records, cognitive assessments, and environmental context.
• Explicitly aims to leverage Explainable AI (XAI) techniques for interpretable patient profiling.

Limitations

• The provided file is a 668.9 KB DOCX conceptual document, not the actual dataset; data quality and availability require separate verification.
• Column-level documentation and sample data are unavailable, making field semantics and structure unknown.
• Row count is unknown, which limits suitability assessment for specific analytical tasks.

Provenance

Source

EU-funded SMART BEAR project, author Eleftheria Iliadou.

Collection Method

Planned collection via 12-month patient monitoring using hearing aids, medical devices, wearables, and clinical assessments.

Time Range

The study involves a 12-month monitoring period; specific dates are not provided.

Freshness

Last updated 2026-05-18 14:24:21; freshness should be verified as this is a future date.