Sleep detection method for non-invasive respirator and respirator using same

A detection method and a ventilator technology, applied in the field of ventilators, can solve the problems of inconspicuous airflow waveform characteristics, increasing the economic burden of patients, and inapplicability.

Inactive Publication Date: 2019-09-20
长沙湖湘医疗器械有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods are not suitable for ventilator therapy
Most of these methods are based on additional signals, such as EEG, ECG, etc. In daily ventilator treatment, patients need to wear a ventilator every day for sleep, which has already brought a burden to the patient.
Wearing additional equipment to monitor other signals will greatly increase the cumbersomeness of treatment, and the expenditure on additional equipment will also increase the financial burden of patients
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  • Sleep detection method for non-invasive respirator and respirator using same
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  • Sleep detection method for non-invasive respirator and respirator using same

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Embodiment Construction

[0052]In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, systems, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0053] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0054] Please refer to figure 1 , figure 1 It shows the implementation flow of a sleep detection method for a non-invasive ventilator provided by an embodiment of the present invention, including steps S101 to S103.

[0055] In step S101, an original data set of airfl...

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Abstract

The invention discloses a sleep detection method for a non-invasive respirator and the respirator using the same. The method comprises the steps of: constructing an original airflow, air pressure and awake sleep data set; and performing data preprocessing on the obtained airflow, air pressure and awake sleep data set; and based on the deep neural network, the characteristics of airflow, air pressure and personal physiological data are learned and classified to identify the awake and sleepy intervals. The method utilizes a conventional method to construct the airflow, air pressure and awake sleep data set, and utilizes an existing airflow pressure sensor of the respirator, combined with an artificial intelligence method, the method detects whether a patient falls asleep or not, and provides a basic technique for improving the tolerance of respirator treatment.

Description

technical field [0001] The invention belongs to a ventilator, and in particular relates to a method for detecting falling asleep of a noninvasive ventilator and a ventilator using the method. Background technique [0002] Non-invasive ventilators are mainly used clinically to treat sleep apnea syndrome, chronic obstructive pulmonary disease and other related diseases. These diseases cause decreased blood oxygen saturation, increased sympathetic tension, decreased parasympathetic tension, increased blood carbon dioxide concentration, and pH The decreased value and the increased intrathoracic negative pressure seriously affect the functions of various important organs. [0003] In the field of non-invasive ventilator therapy, patients who have been treated with ventilators for a long time have been plagued by the intolerance of ventilator therapy. There are many reasons for ventilator intolerance, which are closely related to personal physique, weather conditions and other fa...

Claims

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Application Information

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IPC IPC(8): A61B5/087
CPCA61B5/087A61B5/4809A61B5/7267
Inventor 刘茹涵黄献
Owner 长沙湖湘医疗器械有限公司
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