Sleep is essential for brain health, memory consolidation, and overall well-being, yet reliable assessment of sleep stages remains challenging outside clinical settings. Our research introduced Cardiosomnography (CSG), an ECG-only method for sleep stage classification that performs on par with expert human-scored polysomnography (PSG). Using just a chest strap, it could take significantly more expert-level sleep studies outside the confines of clinics and laboratories and into naturalistic settings. Additionally, its real-time scoring capability enables novel interventions, a promising frontier that researchers have only begun to explore. By democratizing access to higher-quality sleep studies, this innovation has the potential to advance sleep medicine and translational neuroscience, expanding the ease and range of options for diagnosis, monitoring, and treatment of disorders linked to sleep-related markers or comorbidities.

Bio:

Adam Jones, PhD, is a neuroscientist and engineer specializing in signal analysis, machine learning, and the development of innovative hardware and software for health monitoring and personalized medicine. With experience spanning research and industry, he integrates engineering and neuroscience to create accessible and impactful technologies aimed at improving human health and well-being. His long-term focus on advancing sleep science exemplifies his broader commitment to translational research, developing practical solutions that address the challenges and complexities of real-world environments. He earned his PhD in neuroscience from the University of Southern California and an MS in mechanical engineering from Texas A&M University.