Big data recorded lung expiration training device for nursing cardiothoracic surgery patient

Abstract

The invention discloses a big data recording lung expiration training device for cardiothoracic surgery patient nursing. The device comprises a shell and an expiration cover, wherein the shell is connected with the expiration cover through a connecting air pipe, the connecting air pipe is sleeved with a universal metal pipe, and a control key is arranged below a data display screen; a plurality of signal indicating lamps are arranged on one side of the data display screen, a rotary counter connected with the rotating shaft rod is arranged in the middle of an upper end of the first annular clamping block, the middle of an upper end of the rotary counter is connected with the rotating shaft rod in a matched mode through an inductive head, and an expiration nozzle connected with the fixing pipe is arranged in the middle of the expiration cover; one end of the expiration nozzle is sleeved with a silica gel sleeve, the middle of the expiration nozzle is connected with the connecting air pipe, and a nose-mouth pipe is arranged in the middle of the upper end of the fixing pipe. The method is advantaged in that a judgment basis for the respiratory function recovery condition of the patient is provided for a doctor, and the doctor can effectively intervene in respiratory training of the patient according to the feedback data information.

Description

technical field [0001] The invention relates to the technical field of exhalation training devices, in particular to a large-data-recorded lung exhalation training device for nursing patients in cardiothoracic surgery. Background technique [0002] Most of the injured parts of cardiothoracic surgery patients are the heart and lungs, and when they are being treated, they need to use more breathing assistance equipment to help patients perform normal breathing work. Over time, the working ability of the patient's own respiratory organs will be reduced. Therefore, after the patient is cured, it is necessary to use the corresponding breathing training device to help the patient recover; most of the existing exhalation training devices do not need the guidance of medical staff throughout the use, but the experience of the trainees is not good. , The structural design is unreasonable, and the training effect is not significant. The maximum exhalation resistance of many trainers i...

AI Technical Summary

Problems solved by technology

The maximum exhalation resistance of many trainers is fixed, and it is impossible to flexibly change different air resistance effects, so the trainees cannot perform further stage-improved exhalation training, and the replaceable air resistance structure needs to be replaced as a whole. Other air-blocking structures of the pores are cumbersome to operate and use unchanged

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