On-Demand Digital Health Monthly:
Scientific Webinar Series
Filling the Sleep Health Gap: Advancing Patient-Centric Research with DHTs
![Filling the Sleep Health Gap: Advancing Patient-Centric Research with Multisensor DHTs Filling the Sleep Health Gap: Advancing Patient-Centric Research with Multisensor DHTs](https://theactigraph.com/hs-fs/hubfs/Website/Headers/header-pics_digital-health-monthly_sleep.jpg?width=2000&height=1333&name=header-pics_digital-health-monthly_sleep.jpg)
Digital Health Monthly: Scientific Webinar Series
Sensor-based DHTs are shedding an illuminating light on how people function in their real-world environments. Drug developers, researchers, patients, and regulators are realizing the multifaceted value sensor-based DHTs can bring to clinical research.
As their adoption continues to grow, we at ActiGraph are excited to launch ‘Digital Health Monthly’, a new monthly series of science-focused webinars to share the latest high-impact developments in clinical research from innovators in the digital health field. Each monthly webinar will feature brief data-driven presentations from clinical researchers, data scientists, and biostatisticians on a focused topic with dedicated time for audience Q&A. We believe that together, we can move the digital health technology field forward faster, and we are excited for this opportunity to facilitate important discussions on the latest research with members of the digital health community.
Filling the Sleep Health Gap: Advancing Patient-Centric Research with DHTs
Sleep disturbances are a common and significant symptom of many health conditions. Given the essential nature of sleep to our overall quality of life and its relationship to many chronic conditions, accurately measuring sleep is a crucial part of developing patient-centric therapies and improving public health.
In this second installment of our Digital Health Monthly series, this 30-minute webinar explores the relevance of sleep measures in many areas of clinical research, the opportunities that sensor-based DHTs provide as a method of capturing objective sleep data, and how this knowledge can advance treatment and clinical care for sleep disruptions and measure treatment efficacy in drug development programs. We dive into the exciting new opportunity to collect multisensor data from wearable DHTs and advancements in sleep metrics, including sleep staging.
Maxime Elbaz, PhD, Chief Scientific Officer, Sleep Specialist, BioSerenity, discuss the importance of sleep to human health and methods used to collect sleep data in clinical research including digital measures of sleep and the challenges and benefits of incorporating them into research studies.
Matthew Patterson, PhD, Senior Data Scientist, ActiGraph, present details on wearable-based measures of sleep, describe the latest state-of-the-art algorithms used to generate sleep measures including sleep staging algorithms.