Ultra-Wideband Localization Data for Clinical Environments

UCI hosts a dataset on Ultra-Wideband (UWB) technology for clinical establishments. It contains time-series and tabular data related to indoor localization within healthcare facilities. The dataset's creator and specific collection date are not provided.

Use Cases

• Modeling UWB signal propagation from anchor and tag devices to predict tag coordinates in a clinical room.
• Analyzing time-series signal data to detect and classify patterns of movement for staff or equipment within a facility.
• Training algorithms to associate specific UWB signal features with different types of clinical spaces or activities.
• Developing anomaly detection models using signal strength and timing metrics to identify equipment malfunctions or unusual movement.

Strengths

• Dataset originates from the UCI Machine Learning Repository, a known source for benchmark data.
• Platform tags indicate coverage of multiple relevant domains: Medical Devices, Indoor Localization, and Clinical Facilities.

Limitations

• The total number of rows, columns, and data size are unknown, making scope assessment difficult.
• Specific collection methodology, time range, and geographic origin are not documented, limiting reproducibility.

Provenance

Source

UCI Machine Learning Repository

Collection Method

Presumably collected via Ultra-Wideband (UWB) sensor systems deployed in clinical settings.