• VINO S
• NITHISH KUMAR S
• VISWA R
• MURUKESH.C

Millions battle a hidden enemy during sleep: apnea, where breathing repeatedly pauses, disrupting slumber and leading to a cascade of health woes. From chronic fatigue and brain fog to increased heart disease risk, sleep apnea silently casts a long shadow. Early detection and management are crucial, but traditional diagnosis hinges on costly sleep labs, creating a significant accessibility gap. This project dares to bridge that gap, exploring a promising path forward: an ESP32-powered system equipped with respiratory and heart rate sensors. Imagine a system silently monitoring your sleep in the comfort of your home, gathering vital data as you slumber. We envision a future where affordable, user-friendly monitoring empowers individuals to take charge of their sleep health.How does this work? Think of the sensors as vigilant sentinels, tracking your breathing patterns and heart rate variability – key indicators of sleep apnea events. Subtle changes are captured and analyzed, potentially revealing the telltale signs of disrupted sleep. The collected data is securely stored in the cloud, accessible for further analysis or professional review.However, caution is paramount. This prototype is not a substitute for professional diagnosis. Rigorous research and clinical validation are essential to assess its accuracy and real-world effectiveness. Responsible development demands transparency and ethical considerations.Looking ahead, we envision constant refinement. Adding sensors like oximeters could paint a more comprehensive picture of sleep physiology. Machine learning algorithms could enhance the system's ability to differentiate between sleep apnea and other disturbances, improving its accuracy.Ultimately, rigorous clinical trials hold the key. Only through meticulous evaluation can we solidify its potential as a valuable tool in the fight against sleep apnea. This journey, filled with both promise and responsibility, has the power to empower individuals to manage their sleep health and seek timely intervention. Imagine a future where technology stands as a guardian of sleep, silently monitoring and alerting, paving the way for a healthier and more vibrant life for millions. This future beckons, but ethical considerations and responsible development remain the guiding principles of this crucial journey.

Sleep apnea,ESP32-powered system,Respiratory and heart rate sensors,Machine learning algorithms,Cloud storage

"IoT BASED SLEEP APNEA MONITORING SYSTEM USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.j713-j723, March-2024, Available :http://www.jetir.org/papers/JETIR2403992.pdf

"IoT BASED SLEEP APNEA MONITORING SYSTEM USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppj713-j723, March-2024, Available at : http://www.jetir.org/papers/JETIR2403992.pdf