Detection of sleep apnea syndrome by CNN based on ECG
نویسندگان
چکیده
Abstract Sleep apnea syndrome is a sleep disease that may lead to sudden death. Long term can cause chronic cerebral hypoxia, hypertension, cardiovascular and cerebrovascular complications. At present, PSG the most reliable method for diagnosis. But diagnosis of complex expensive. Electrocardiograph(ECG) portable medical equipment have been widely used nowadays, which makes acquisition ECG signal more popular convenient. In this paper, convolution neural network based on proposed predict syndrome, accuracy sensitivity CNN model classification are 94% 88% respectively. The results show has advantages low cost complexity.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2021
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/1757/1/012043