Sleep apnea syndrome assessment method based on electrocardiogram signals

Abstract

The invention discloses a sleep apnea syndrome assessment method based on electrocardiogram signals. The method comprises the following steps: acquiring the night electrocardiogram signals; pre-processing the electrocardiogram signals so as to obtain clean electrocardiogram signals; finding out the position of a peak value of R wave by virtue of R wave detecting algorithm, and conducting calculation so as to obtain RR sequences; interpolating the RR sequences, so that the RR sequences are identical in length; and dividing the interpolated RR sequences into three groups in accordance with a sample: a pre-training group, a fine-adjusting group and a test group, wherein by virtue of the pre-training group and the fine-adjusting group, an OSAS (obstructive sleep apnea syndrome) recognition model is constructed and optimized, and by virtue of the test group, an assessment result of the model on the OSAS is obtained. The method provided by the invention, by collecting the human electrocardiogram signals in a noninvasive mode, can be used for assessing the sleep apnea syndrome, and for the RR sequences extracted from original electrocardiogram signals, characteristic learning and OSAS recognition model construction can be conducted by virtue of a sparse self-coding network; meanwhile, network parameters are optimized through micro-adjusting, so that the model is more excellent in recognition capacity and good assessment is conducted; and the method provided by the invention is available by collecting the electrocardiogram signals within 8h at night.

Description

technical field [0001] The invention belongs to the field of biomedical engineering, and in particular relates to an evaluation method for sleep apnea syndrome (OSAS) based on electrocardiographic signals. Background technique [0002] Obstructive sleep apnea syndrome (OSAS) is a sleep-breathing disorder of unknown etiology, clinically manifested by nocturnal sleep snoring with apnea and daytime sleepiness. It is clinically found that OSAS patients are often complicated by diseases closely related to abnormal heart rate variability: hypertension, arrhythmia, heart failure, coronary heart disease, and sudden nocturnal death. The direct pathogenesis of OSAHS is upper airway stenosis and obstruction, but its pathogenesis is not simple airway obstruction, but actually upper airway collapse, accompanied by disturbance of respiratory central nervous system regulation factors. There are many causes of upper airway narrowing and obstruction, including septal curvature, tonsil hyper...

AI Technical Summary

Problems solved by technology

Since the subject needs to wear a large number of electrodes during the monitoring phase, discomfort or other conditions such as electrode drop-off may occur. This method requires specialized monitoring personnel to implement. In hospi...

Images