Respiratory disturbance detection device

Abstract

The invention provides a respiratory disturbance detection device. The respiratory disturbance detection device comprises a chest respiratory movement detection component, an abdomen respiratory movement detection component and a processor. The chest respiratory movement detection component is used for collecting chest respiratory movement waveform data. The abdomen respiratory movement detectioncomponent is used for collecting abdomen respiratory movement waveform data. The processor is used for, according to the received respiratory movement waveform data, calculating a chest respiratory movement waveform phase angle and an abdomen respiratory movement waveform phase angle, and detecting whether the respiratory disturbance is existent according to an absolute value of a difference valueof the chest respiratory movement waveform phase angle and the abdomen respiratory movement waveform phase angle. Because the chest and abdomen movements are different while the respiratory disturbance is existent, the respiratory disturbance can be accurately detected on the basis of the difference value between the phase angle of the chest respiratory movement waveform data and the phase angleof the abdomen respiratory movement waveform data. The data processing capacity in a whole detection process is small, and the detection process is simple.

Description

Technical field [0001] The invention relates to the technical field of medical equipment, in particular to a breathing disorder detection device. Background technique [0002] Respiratory disorder refers to the patient's subjective feeling of lack of air, and objectively manifested as breathing effort. In severe cases, nasal flapping, cyanosis, orthopedic breathing, and changes in breathing rate, depth, and rhythm may occur. [0003] At present, PSG (polysomnography) equipment is usually used to detect whether there is a breathing disorder. PSG is bulky and usually only available in hospitals or clinics, and PSG needs to collect respiratory airflow, brain waves, and diaphragm. The processing of data such as electricity, leg movement, chest and abdomen movement is complicated. Summary of the invention [0004] Based on this, it is necessary to provide a breathing disorder detection device with a simple structure and a simple detection process in response to the complex structure of ...

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