Can smart sensors predict and help manage obstructive sleep apnea?
Obstructive sleep apnea (OSA) is a condition in which breathing stops involuntarily for brief periods of time during sleep. Normally, air flows smoothly from the mouth and nose into the lungs at all times. Periods when breathing stops are called apnea or apneic episodes. In OSA, the normal flow of air is repeatedly stopped throughout the night. The flow of air stops because airway space in the area of the throat is too narrow. Snoring is characteristic of obstructive sleep apnea. Snoring is caused by airflow squeezing through the narrowed airway space. The worldwide prevalence of obstructive sleep apnea (OSA) is fast approaching 1 billion people in the world with about 22 million people in the US. (1)
The at-home Digital Health Trial will include up to 250 participants. Once enrolled via the doc.ai app, participants will use a connected smart sensor and in app surveys tracking a series of factors. Along with the self-reported data, the study will collect and analyze patients’ health data, including an array of personal-omics information, such as phenome to capture physical traits. The trial also leverages doc.ai A.I. technologies such as neural networks for participants to capture a photograph of their phenome for automatic import.
Participants for this at-home, HIPAA-compliant and are recruited by the research sponsor, doc.ai’s customer. More info about this study coming soon
(1)Excessive Sleepiness and Associated Risks with Obstructive ...." See source