Obstructive Sleep apnea(OSA) is a disease with multiple causes, and treatments are very
diverse. Patients and doctors have a lot of choices. The concept of precision medicine is
needed to intervene so that doctors and patients can have directions in this huge map and
won't get lost. In this OSA maze, we have already walked through some feasible passages, but
we are far from reaching the end.
At present, the research direction of artificial intelligence for OSA is mostly focused on
how to accurately screen, but less attention is paid on how to accurately treat and
conveniently follow the effectiveness of treatment to increase patient compliance.
We can already analyze the results of electrocardiogram patches to predict the severity of
sleep apnea. We have also been able to analyze the results of electrocardiogram patches for
three consecutive nights, and found postural sleep apnea that could not be detected in
laboratory sleep examinations, and help doctors provide appropriate intervention to improve
patients' sleep apnea, severity and quality of sleep. We have also found that precision sleep
endoscopy can be used to predict the outcome of sleep apnea patients after surgery and the
effectiveness of treatment with an intraoral nagative airway pressure device.
Therefore, in the future, with artificial intelligence(AI), ECG patches are able to be used
for follow patients' treatment effectiveness.
Others include the treatment of weight loss drugs and bariatric surgery for obese patients,
the control of environmental temperature and humidity, and the training of oropharyngeal and
tongue muscle strength, all of which require the diagnosis and follow up of AI ECG patches
from beginning to end.
According to the latest research, nocturnal hypertension is more relevant to the prognosis of
cardiovascular problems and cerebrovascular disease that may occur in the future. This is
also the problem that we are most concerned about in the treatment of sleep apnea. ECG
patches also have the potential to provide us with information about nocturnal hypertension.
Studies have also shown that ECG patches test results are highly correlated with nocturnal
hypertension. Therefore, the improvement of nocturnal hypertension can also be used as an
important indicator of the effectiveness for our treatment of sleep apnea.
Therefore, the goal of this project is to develop AI algorithm to make ECG patches more
helpful to patients with sleep apnea, and to make better treatment decisions that are most
suitable for patients, such as postural therapy, bariatric surgery for obese patients,
environmental temperature and humidity control, oropharyngeal tongue muscle strength
training, and accompany with sleep endoscope for the selection of intraoral negative pressure
devices and surgery, and finally use AI ECG patches for the patient for three consecutive
nights to evaluate the improvement of nocturnal hypertension and sleep apnea, and to achieve
the goal of precision medicine in OSA.