Fitness monitoring system with raspberry Pi Pico

Diabetes has become an accepted curse in society. Sophisticated lifestyle and work from home situations have ended up making people have the least consciousness of their physical wellbeing. Hence, health monitoring has become the need of the hour. But monitoring fitness is one of the cumbersome tasks to attain mental and physical wellness.  In this paper, an inexpensive but effective fitness monitoring system is developed. Unlike the existing models, this system uses user input and a single Pulse-Oximeter sensor to analyze eight significant health parameters that need to be accounted to have sound health. The Parameters include BPM of Heart, Oxygen Saturation in Hemoglobin, Relative Fat Mass, Maximum Heart Rate, Heart Rate Reserve, Target Heart Rate, Resting Metabolic Rate and Daily Energy Expenditure. This model is implemented using Raspberry Pi Pico microcontroller. The unique data logging feature of Pi Pico is used for storing the computed data without additional peripherals. This data is further analyzed by connecting it to the computer as when required. The memorized data is analyzed using the GNU Octave open-source Visualization tool. To add to the advantage of this model, it is an unwearable device that does not require to be in contact with skin or body continuously to monitor the parameters.