CardiacProfileR

CardiacProfileR extracts and analyzes heart rate profiles from wearable fitness tracker data to quantify heart rate dynamics during physical activity.

Key Features:

• Implementation: Provided as an R package for computational extraction, analysis, and visualization of heart rate data.
• Data Extraction: Extracts heart rate and physical activity data from wearable devices, including Fitbit and Apple Watch.
• Profile Construction: Constructs heart rate profiles capturing resting heart rate, exercise-induced heart rate increase, and post-exercise recovery.
• Visualization: Generates visual representations of heart rate dynamics and profiles across physical activities.

Scientific Applications:

• Cardiovascular phenotyping: Enables quantitative deep phenotyping of human cardiovascular function using wearable-derived heart rate profiles.
• Risk stratification: Supports identification of individuals at elevated risk for sudden death and other cardiovascular conditions via profile features such as recovery and peak response.
• Exercise physiology research: Facilitates analysis of heart rate responses and recovery dynamics during and after physical activity.
• Remote monitoring: Allows construction of longitudinal heart rate profiles from consumer wearable data for out-of-clinic cardiovascular assessment.

Methodology:

Performs computational extraction of heart rate and activity data from wearable devices (e.g., Fitbit, Apple Watch), analyzes heart rate dynamics to assemble resting, exercise, and recovery profile components, and produces visualizations of the resulting profiles.