HRV Geometry and Signal Data Set

This dataset contains two main types of data used for road infrastructure and physiological health analysis: road geometry data and HRV (Heart Rate Variability) signals. Road geometry data covers various aspects of roadway geometric measurements, such as vertical curves, horizontal curves, gradients, and x slope, while HRV data describes heart rate variability used to analyze heart conditions and the body's autonomic responses.

Road Geometry Data includes:

Vertical Curves: Provides information on changes in road elevation along the route, including inclines and declines, which affect driving comfort and safety.

Horizontal Curves: Shows changes in road direction at the horizontal level, which is important for curve planning and smooth vehicle flow.

Gradient: Measures the slope of the road indicating how steep the road is, which is important in planning roads in hilly or mountainous areas.

X Slope: Measures the horizontal slope of the road on the X-axis, which affects the stability of the vehicle as it passes.

Data Source: Field measurement using hawkeyes 2000 survey tool

HRV (Heart Rate Variability) signal includes:

Data Type: HRV metric.Measurement Method: Electrocardiogram (ECG) with holter monitor.

Dataset Purpose: This dataset is designed to correlate road geometry data with the body's physiological responses, specifically through HRV signals. This research aims to understand how road characteristics, such as curvature, slope and gradient, affect rider comfort and health, and to analyze the influence of road conditions on the body's physiological responses, such as changes in heart rate and stress experienced during riding.