Filling The Sleep Health Gap

Sleep disturbances are a prevalent and significant symptom of many health conditions. Given the essential role of sleep in overall quality of life and its link to various chronic conditions, accurately measuring sleep is crucial for developing patient-centric therapies and enhancing public health.

In the second installment of our Digital Health Monthly series, this 30-minute webinar delves into the importance of sleep metrics in clinical research and the opportunities provided by sensor-based digital health technologies (DHTs) for capturing objective sleep data. This knowledge can advance treatments for sleep disruptions and improve the measurement of treatment efficacy in drug development programs. The webinar also explores the innovative use of multisensor data from wearable DHTs and advancements in sleep metrics, including sleep staging.

Maxime Elbaz, Ph.D., Chief Scientific Officer and Sleep Specialist at BioSerenity, discusses the significance of sleep for human health, methods for collecting sleep data in clinical research, and the challenges and benefits of incorporating digital sleep measures into studies.

Matthew Patterson, Ph.D., Senior Data Scientist at ActiGraph, presents insights on wearable-based sleep measures, the latest state-of-the-art algorithms for generating sleep metrics, and the advancements in sleep staging algorithms.