RT Journal Article
SR Electronic
T1 A Probabilistic Approach To The Diagnosis Of Obstructive Sleep Apnea
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 080515
DO 10.1101/080515
A1 Raj Ramnani
A1 Anshul Tripathi
YR 2017
UL http://biorxiv.org/content/early/2017/03/10/080515.abstract
AB In a novel approach to diagnose Obstructive Sleep Apnea, electronic components including an Arduino Mega, a Bluetooth Transceiver, an accelerometer, and a air-quality sensor, were put together to create a wearable that would detect the frequency of apnea events, diagnose the disorder, and sound an alarm when necessary. A primary consideration was to make the mechanism accessible and affordable, and in doing so, lower the number of cases of Obstructive Sleep Apnea that go undiagnosed due to the cost and inconvenience associated with the traditional diagnosis method—a Polysomnogram. Bluetooth capability was an additional consideration so that the device would transmit data directly to an android smartphone, eliminating the need for an additional output mechanism. The total cost of the device, quite surprisingly, did not exceed $30, and therein rendered the device an accessible, affordable mechanism for diagnosis. Tests of the device on diagnosed patients yielded data consistent with the diagnosis, with a few false positives as a result of the excessive sensitivity of the sensors.