Dr. Susan Redline and Dr. Shaun Purcell give a talk for the “TUM Chronobiology and Health” series entitled “Open Science in Sleep Research: Tools and Resources, Promises and Challenges." Check it out here! Keep reading
Sleep disturbances in children and adolescents are important to identify as they affect daytime function, and, although extremely common, can be especially hard to diagnose in those with autism. For this reason, the description of the type and frequency of sleep diagnoses in the pediatric autism population has been elusive to researchers, clinicians, and caregivers. Keep reading
AI for automated sleep staging is considered mature and has found its way to commercial sleep evaluation systems. Systems underpinned by deep learning require large datasets providing a broad sample of sleep stages the machine seeks to ‘learn’. Of concern, most databases used for developing AI sleep stagers include only recordings from adults, creating a significant inherent sample bias when applied to when applied in the pediatric or geriatric sleep setting. Keep reading
Guest blogger: Grégory Hammad, Ir, PhD GIGA-CRC in vivo imaging, University of Liège, Liège, Belgium, Chair of Neurogenetics, Faculty of Medicine, Technical University of Munich, Munich, Germany PyActigraphy is an open-source Python software for actigraphy and light data analysis. Keep reading