TEMPERATURE BASED BREATHING FREQUENCY DETECTOR

BIOMEDICAL ENGINEERING

Breathing rate measurement is an essential component of effective health monitoring. A deviation from normal breathing can be a sign of a number of medical disorders, including respiratory problems of the heart and metabolism. The COVID-19 pandemic has underscored the need for remote health monitoring solutions, emphasizing the urgency of accessible and affordable breath analysis tools. Our project aims to develop a thermistor-based breath analysis system for real-time monitoring and assessment of breathing patterns. By strategically placing a thermistor near the nose, we capture temperature fluctuations during inhalation and exhalation. This temperature data is collected and transmitted via a Node MCU to a computer for processing. In Python, we employ a real-time data processing script that not only visualizes the temperature changes as a live breath graph but also calculates the breaths per minute (BPM). We determine BPM by identifying peak temperature values within a specified time window, thereby offering insights into the user's breathing rate. To distinguish between normal and abnormal breathing patterns, we establish a BPM threshold range (12-20 BPM) for normal. Any deviation from this range is labeled as abnormal. This system offers the potential for early detection of respiratory issues or sleep disorders. It can be used for remote patient monitoring and can serve as a valuable tool in healthcare and wellness applications. This tool may be used to identify irregular breathing patterns and sleeping disorders.

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