Monitoring of heartbeat and breathing parameters with optical sensor using software tool.

• This study proposes the design of a Fiber Bragg Grating (FBG) sensor system to monitor cardiac and respiratory activities in numerous body positions including Fowler's, Orthostasis and Supine positions. The system integrates advanced signal processing techniques to extract information from the FBG sensor output. A custom-designed software platform is used to analyze and visualize the collected data efficiently. The FBG sensor's placement and sensitivity are optimized to accurately capture cardiac and respiratory parameters across changed body postures, ensuring a holistic understanding of the examinee's physiological responses. The strain sensitivity of FBG Sensor inscribed in a Germania-doped silica fiber is approximately 1.20 pm (µɛ)−1. This innovative approach enhances the potential for remote health monitoring and provides valuable insights into the dynamic relationship between body position and physiological parameters, paving way for personalized healthcare solutions. The study also incorporates the use of a smartwatch to conveniently display and evaluate the obtained results in real-time, offering a user-friendly interface for both healthcare professionals and individuals monitoring their own health. This study proposes the design of a Fiber Bragg Grating (FBG) sensor system to monitor cardiac and respiratory activities in numerous body positions including Fowler's, Orthostasis and Supine positions. The system integrates advanced signal processing techniques to extract information from the FBG sensor output. A custom-designed software platform is used to analyze and visualize the collected data efficiently. The FBG sensor's placement and sensitivity are optimized to accurately capture cardiac and respiratory parameters across changed body postures, ensuring a holistic understanding of the examinee's physiological responses. The strain sensitivity of FBG Sensor inscribed in a Germania-doped silica fiber is approximately 1.20 pm (µɛ)−1. This innovative approach enhances the potential for remote health monitoring and provides valuable insights into the dynamic relationship between body position and physiological parameters, paving way for personalized healthcare solutions. The study also incorporates the use of a smartwatch to conveniently display and evaluate the obtained results in real-time, offering a user-friendly interface for both healthcare professionals and individuals monitoring their own health. [ABSTRACT FROM AUTHOR]