Sleep: it’s essential for our health, mental well-being, work productivity, quality of life…the list continues. Identifying sleep issues, however, can be a long and difficult process.

Why? Sleep is difficult to measure, which means it’s hard to generate the data that’s necessary in order to better understand and address sleep problems. Why is it difficult to measure?

According to Roy Raymann, Ph.D., true measurements of sleep—those that are more objective than simple questionnaires—are obtrusive, requiring multiple sensors on the brain, face, wrists, etc., which neglects the fact that comfort is a crucial element of good sleep.

On today’s podcast, you’ll learn about a new form of technology 13 years in the making that could very well change the way sleep is studied from here on out. Among other accomplishments, Dr. Raymann has conducted research in sleep science for more than 25 years, his work has been published in multiple peer-reviewed journals, and he currently serves as Vice President of Sleep Science and Scientific Affairs at SleepScore Labs. He discusses the ins and outs of SleepScore’s technology, which utilizes sounds waves, algorithms, and a whole lot of data processing to detect and translate micro-movements during sleep into useful data about sleep quality.

All that’s required is a small bedside device, which means no annoying sensors tacked to your head and no wires in your bed.

Tune in to hear more about the SleepScore product and the extra features it includes, and check out https://www.sleepscore.com/ to learn more.

Podcast: Play in new window | Download | Embed