Development of Mobile Solutions for Monitoring Sleep Quality

Sleep plays a crucial role in human health and well-being and is an evolving field in medical science. Access to reliable sleep quality data provides valuable insight into an individual's physical and mental fatigue, which can be used to make informed decisions in high-risk situations such as driving or operating heavy machinery. However, traditional sleep monitoring methods rely on expensive and intrusive medical equipment, limiting their accessibility for long-term and daily use. This thesis aims to develop a functional mobile solution that automates the collection of biometric sleep data using commercially available Garmin sports watches. The application also integrates an algorithm to analyze sleep data, determining the duration and quality of sleep. The goal is to provide a noninvasive and user-friendly solution for gathering and analyzing sleep data. By decoupling data collection from data analysis, the system allows for further processing using specialized tools or by medical professionals. In addition, the algorithm can analyze data stored from multiple devices, enhancing its flexibility and applicability. The mobile application integrates with the Garmin ecosystem, allowing the retrieval of raw, unprocessed biometric data (such as heart rate, beat to beat intervals, and accelerometer readings) from the smartwatch to an Android mobile device. Unlike real-time monitoring solutions, this system focuses on robust and comprehensive data logging, allowing researchers and medical professionals to apply custom algorithms and compare datasets from various sources. This flexibility ensures that collected data can be adapted to clinical methodologies or custom-developed algorithms for specific purposes. Although this approach is not intended as a complete replacement for polysomnography in a supervised clinical environment, its aim is to demonstrate that smartwatch-based sleep monitoring can provide valuable insights into sleep patterns and behaviors through an accessible, noninvasive, and cost-effective solution.