Sleep disorders are often evaluated and diagnosed by polysomnography (PSG), which measures brain activity, eye movement and heart rhythms during sleep, but a new type of technology designed by researchers out of Osaka University utilizes a smartphone to help diagnose sleep disorders. It uses machine learning via a smartphone to help determine if a patient is suffering from a sleep disorder.

Using Modern Technology to Diagnose Sleep Disorders
According to Osaka University Associate Professor Ken-ichi Fukui, PSGs are ineffective because they require a patient to be monitored outside of their natural sleeping environment, typically in a sleep lab or other medical facility. He believes that because “our environment influences how we sleep…we should not expect the same patterns sleeping at a hospital [versus] or sleeping at home.”[1] This could be why so many people aren’t diagnosed with a sleep disorder, even though they really do have one.