Sleep quality detection method based on electrocardiosignals

Abstract

The invention relates to a sleep quality detection method based on electrocardiosignals. As for detection of the sleep quality of a target object, the sleep quality detection method is characterized by including the following steps: (1) through detection of the electrocardiosignals and respiration signals of the target object, obtaining the heart beat interphase sequence and the respiration signal sequence; and (2) through the heart beat interphase sequence and the respiration signal sequence obtained in the step (1), calculating the deep sleep quality index of the target object. By means of the technical scheme, the sleep quality detection method based on the electrocardiosignals has the advantages that an adopted single lead electrocardiosignal detection instrument can achieve long-distance monitoring, the target object does not need to be limited to a hospital accordingly, the sleep index of the target object can be detected at any sleep site, and the applicability of the sleep quality detection method is further improved.

Description

technical field [0001] The invention relates to a method for acquiring human body information and processing the above information, especially a method for detecting sleep quality based on electrocardiographic signals. Background technique [0002] Sleep can make the voice of human beings relax and rest, and it plays a vital role in all aspects of the human body. Therefore, sleep quality is the guarantee for people's normal study and life. However, with the deterioration of the environment and the increase of life pressure, people's sleep quality is more or less affected. Therefore, a correct understanding of self-sleep quality plays a vital role in improving the physical and mental benefits of sleep. [0003] At present, the evaluation of sleep quality is mainly carried out by polysomnography, but this method has many inconveniences; first, the experience of patients with polysomnography is poor, because polysomnography needs to detect more signals , especially to monitor ...

AI Technical Summary

Problems solved by technology

[0003] At present, the evaluation of sleep quality is mainly carried out by polysomnography, but this method has many inconveniences; first, the experience of patients with polysomnography is poor, because polysomnography needs to detect more signals , especially to monitor a large number of cranial and maxillofacial signals, a number of electrodes need to be attached to the patient, and at the same time, there are a large number of wires around the patient's head, which makes the patient feel uncomfortable when falling asleep, and the polysomnography instrument needs to be installed in the hospital. Many patients will experience sleep behavior changes with changes in the sleep environment, and the test results are different from the usual sleep behavior; secondly, after the polysomnography examination, doctors need to combine the signals of each lead to analyze and diagnose frame by frame. The workload is heavy and extremely inconvenient; in addition, the polysomnography sleep chart is complex and expensive, and it is difficult to be popularized and used; therefore, the development of sleep quality detection equipment that is easy to measure has potentially great significance

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