MARSH: Respiratory Signal Repository for Algorithm Development

Respiratory and physiological signals collected for the study 'Fusion enhancement for tracking of respiratory rate through intrinsic mode functions in photoplethysmography.' The repository includes raw and annotated data for ECG, impedance pneumography, thermistor mask, and photoplethysmography signals, along with a text file containing participant demographics and vitals. The dataset was created by Mikko Pirhonen and Vehkaoja Antti of Tampere University and published in 2020.

Use Cases

• Developing respiratory rate tracking algorithms based on raw PPG signal data.
• Validating R-peak detection algorithms using annotated ECG data.
• Fusing multiple respiratory signals (IP, NASAL) for enhanced physiological monitoring.
• Analyzing the relationship between demographic features (age, gender, height, weight) and respiratory patterns.

Strengths

• Includes multiple synchronized physiological signals (ECG, IP, NASAL, PPG) for multimodal analysis.
• Provides expert annotations for key physiological events (R peaks, inspiration phases).
• Contains basic participant metadata (age, gender, height, weight, blood pressure) for contextual analysis.

Limitations

• Row count and overall dataset scale 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

Tampere University

Collection Method

Likely collected in a controlled study setting for physiological monitoring research.