Fractal Analysis Linking Physical Activity Patterns, Health, and Mortality

This invention is a novel method for linking patterns from accelerometers to health and mortality problems by measuring fractal complexity.

Background:
Accelerometers are devices that measure proper acceleration and have multiple applications in different industries. Typically, accelerometers are found in devices that monitor and track physical activity for health-related purposes. The clinical utility of the information tracked by these devices is highly under-utilized. This invention uses de-trended fluctuation analysis (DFA) on raw data taken from wearable accelerometers to allow professionals and the public to monitor physiological health and mortality risk.

Applications:

• Accelerometer industry
• Health monitoring/tracking
• Behavioral health
• Exercise

Advantages:

• Measures fractal complexity
• Predicts health outcomes
• Non-invasive biomarker
• Tracks aging and mortality risk