The APNIWAVE project ]developed an innovative, non-invasive solution for detecting sleep apnea in a home environment using radar technology. By leveraging radar signals and machine learning, the project provided a more accessible, user-friendly approach to diagnosing sleep apnea without the need for complex or uncomfortable medical equipment.
Project Details:
- Funding Program: EIT RIS Health.
- Project ID:
- Start Date: April 06, 2022 – End Date: December 31, 2022
- Funding : € 75.000
Key Objectives:
- Proof of Concept Device: The project focuses on developing a proof-of-concept radar device that can be used at home to monitor sleep patterns and detect apnea events in real-time.
- Signal Processing Framework: A robust framework for processing radar signals will be designed to accurately capture and analyze data related to sleep disturbances, particularly those linked to sleep apnea.
- Dataset Development: A balanced dataset, consisting of radar recordings from both healthy individuals and those suffering from sleep apnea. This dataset will form the foundation for model training and validation.
- Machine Learning Models: Develop and train machine learning algorithms to detect and characterize sleep apnea patterns from radar data, aiming for high accuracy in a home setting.