Flexible wearable sleep physiological parameter detection method and device

Abstract

The invention discloses a flexible wearable sleep physiological parameter detection method and device. Conventional sleep respiration detection is not combined with heart rate and blood oxygen. The flexible wearable sleep physiological parameter detection device comprises a heart rate and blood oxygen detection module, a temperature and moisture detection module and assorted mobile phone terminal software, wherein the heart rate and blood oxygen detection module and the temperature and moisture detection module can support bluetooth 5.0; and the mobile phone terminal software is used for receiving the temperature, the moisture, the reflection infrared light data and the reflection infrared light data, detecting the respiration situation, performing filtering on the reflection infrared light data, performing peak seeking, performing calculation to obtain the heart rate value, performing FFT alternation on the reflection infrared light data and the reflection infrared light data, and obtaining the blood oxygen concentration value combined with a Beer-Lambert Model. The flexible wearable sleep physiological parameter detection method and device disclosed by the invention also support a manner that the data is stored, and the CSV formatted file is transmitted out for secondary research. The flexible wearable sleep physiological parameter detection device disclosed by the invention is integrated on a flexible circuit board, and is stuck to the skin below the nose, so that the wearing is convenient; and the flexible wearable sleep physiological parameter detection device has very low active RF and MCU electric current, is low in power dissipation, and is suitable for long-time monitoring.

Description

technical field [0001] The invention belongs to the technical field of wearable devices, and in particular relates to a flexible and wearable sleep physiological parameter detection method and device, which are used for detection of changes in breathing, heart rate and blood oxygen during human sleep, and timely feedback of apnea during human sleep. Background technique [0002] With the aging of the social population, the incidence of cardiovascular and cerebrovascular diseases in middle-aged and elderly people in China is increasing year by year, and this trend is increasingly tending to young people. Sleep apnea is one of the important factors leading to cardiovascular and cerebrovascular diseases. Apnea causes recurrent hypoxia at night. If things go on like this, it will easily lead to complications such as high blood pressure, coronary heart disease, diabetes and cerebrovascular disease, and even sudden death at night. . [0003] Flexible wearable devices belong to th...

AI Technical Summary

Problems solved by technology

The airflow detection method of the breathing mask is reliable, but the overall measurement area is large and inconvenient to carry, and the breathing mask is connected to an external ventilator, and the patient often pulls the breathing mask away from the mouth and nose due to movements such as turning over during sleep. It is inconvenient for the subjects to wear

[0006] A common solution for heart rate and blood oxygen detection is to use an ECG monitor to measure the potential difference between two specific points on the human body surface through lead electrodes to reflect the working state of the heart, and then measure the blood pressure through an optical finger clip probe. Oxygen saturation, although this method is accurate and high, but the integration is low, the wearing comfort is low, and the overall measurement area is large, not portable enough

The other is to use a smart bracelet or watch with an integrated photoelectric sensor. This method is more portable and can measure changes in heart rate and blood oxygen during sleep, but it cannot detect the breathing situation of the subject during sleep, and cannot perform apnea. detection

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