TIHM: Remote Health Monitoring Data for Dementia Patients

The TIHM dataset contains longitudinal observational data collected from the homes of 56 People Living with Dementia (PLWD). It includes an average of 50 days of data per participant, totalling 2803 days of daily activity, physiological monitoring, and labeled health-related events. The data was collected by the Technology Integrated Health Management project and is provided by Imperial College London for research and patient benefit.

Use Cases

• Predicting adverse health events based on longitudinal in-home monitoring data.
• Analyzing patterns in daily activity data to support independent living for dementia patients.
• Developing analytical models for continuous health condition management using physiological monitoring.

Strengths

• Data from 56 participants provides a basis for longitudinal study.
• 2803 total days of recorded data offers a substantial time-series foundation.
• Includes multiple data modalities: daily activity, physiological monitoring, and clinical event labels.

Limitations

• Row count and specific file formats are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Technology Integrated Health Management (TIHM) project, Imperial College London.

Collection Method

Collected via a digital platform within participants' homes during a feasibility study.

Time Range

The study recorded an average of 50 days of data per participant.