Virtual Sleep Lab

This research project aims to develop innovative solutions for precise sleep measurement and therapy. The focus is on an app-based solution that tracks physiological parameters, such as heart rate, and combines this data with proven therapeutic approaches like Cognitive Behavioral Therapy for Insomnia (CBT-I). Sleep disorders, especially insomnia, are common and significantly affect daily life. Since current treatment methods are often inaccessible or ineffective, this project is developing a digital solution that offers a user-friendly and cost-effective therapy for those affected. Sensors continuously measure sleep quality, and the app provides users with daily feedback to promote improvement. The study follows a clear structure: Participants are divided into three groups. One group receives traditional CBT-I through group sessions, the second group uses the app-based program, and the third group serves as a control group with regular sleep monitoring but without specific therapeutic content. The effectiveness of the therapy will be assessed through both subjective (sleep questionnaires) and objective measurements (polysomnography and heart rate sensors). By comparing the results across these groups, the study aims to evaluate not only subjective sleep quality but also objective parameters such as sleep duration, interruptions, and sleep stages. This will determine the effectiveness of the digital therapy compared to traditional treatments and a control group. This project has the potential to identify new, effective approaches to treating sleep disorders and improve access to such therapies.