body-composition

You can analyze InBody CSV data by importing the file directly into the system. The tool processes the CSV data alongside manual entries to assess measurement noise, standardize metrics, and compare results under identical measurement conditions.

Evaluating recomposition readiness requires recent weight, BF%, BMI, FFMI, and skeletal muscle mass data. The system interprets the trends of these body composition metrics to determine phase suitability for bulking or recomposition cycles.

Yes, you can use manually entered body fat and muscle mass data instead of InBody CSV files. The analysis processes both manual entries and CSV imports to standardize metrics and interpret body composition trends accurately.

The system handles measurement noise in body composition data by enforcing standardized measurement conditions and computing rolling trends. This approach smooths daily fluctuations to accurately interpret long-term weight and BF% changes.

Yes, the body composition analysis flags health risks like sarcopenia and cardiometabolic risk indicators. By evaluating muscle mass and body fat percentage trends, it identifies potential cardiometabolic and sarcopenia warning signs during your dieting phase.