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This paper presents the design and performance of a real-time health monitoring system for scuba divers operating in submarines. The system is centered around an ATmega328 microcontroller, integrating multiple sensors to continuously track critical physiological and environmental parameters. A thermistor accurately measures and displays both the diver’s body temperature and the surrounding water temperature, helping identify potential hypothermia risks. An ultrasonic sensor estimates the oxygen level in the diver’s tank, providing early warnings when reserves become dangerously low. Additionally, a heart rate sensor monitors the diver’s electrocardiogram (ECG) in real-time, detecting arrhythmias or abnormal heart rates that could signal health emergencies. All sensor data is processed by the ATmega328 and displayed on a television screen in real-time, offering immediate feedback to the diver and surface support personnel. Alerts are generated automatically if abnormal conditions are detected. This integrated system aims to significantly enhance diver safety by providing continuous health and environmental monitoring, ensuring that early intervention can occur when necessary. The system ultimately improves the overall diving experience, reduces the likelihood of diving-related accidents, and offers a reliable support tool for divers operating in challenging underwater environments.
Keywords:
Atmega328, sensor data acquisition, data transmission, Temperature Monitoring, ultrasonic sensor, Diver Safety, Early Warning, real-time data display
Cite Article:
"Development of Real-time Biometric and Oxygen Telemetry System for Scuba Divers using Atmega328", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a387-a394, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505039.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator