Intelligent breathing training method for critical patient

Abstract

The invention discloses an intelligent breathing training method for a critical patient, which comprises the following steps: S1, a medical worker inputs patient conditions including age, gender, occupational condition, illness condition and treatment condition information of the patient into a central control computer, and sets a breathing training evaluation standard; s2, acquiring the heart rate of the patient in real time through an electrocardio sensor worn on the body of the patient, acquiring the oxyhemoglobin saturation and respiratory rate of the patient in real time through a pulse oxygen sensor, and acquiring high pressure, low pressure and pulse through a blood pressure sensor; s3, through an artificial intelligence algorithm, according to the condition and time of the patient, a treatment oxygen uptake condition is formulated, an oxygen solenoid valve is autonomously controlled to adjust the oxygen concentration, a heater is controlled to adjust the oxygen temperature, an atomizer is controlled to adjust the oxygen humidity, and the respiratory function of the patient is further exercised. According to the method, the breathing exercise of the critical patient is mainly carried out autonomously according to the disease recovery condition of the patient, the human body biological clock and the surrounding environment factors, and the speed of rapidly improving the health recovery of the patient is achieved.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to an intelligent training breathing method for critically ill patients. Background technique [0002] At present, because most (comatose) critically ill patients lack spontaneous breathing ability and consciousness, oxygen inhalation is one of the main ways to maintain their lives. Different doctors give different oxygen inhalation methods, oxygen inhalation amounts, and oxygen inhalation conditions. So far, it will lead to uneven levels of treatment efficacy and prognosis recovery of patients. When the flow rate of ordinary nasal cannula is greater than 6ml / min, the high cold flow gas that does not achieve ideal humidification will bring discomfort to the patient, including frontal sinus pain, dry nasal mask, and bleeding. Oxygen inhalation by the mask will cause a sense of occlusion to the patient, and the output flow is too small may cause respiratory acidosis. ...

AI Technical Summary

Problems solved by technology

Oxygen inhalation by the mask will cause a sense of occlusion to the patient, and the output flow is too small may cause respiratory acidosis

In addition, the oxygen intake required by the patient during each biological clock period (daytime, after meals, and sleep at night) and in different situations of health recovery will be different, and continuous high-concentration oxygen intake will lead to weakene...

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