北京生物醫(yī)學(xué)工程

一種基于可穿戴設(shè)備和智能手機的呼吸監(jiān)測系統(tǒng)設(shè)計

Design of a respiratory monitoring system based on wearable devices and smart phone

作者：劉永凱孫珅史文飛吳水才

單位：北京工業(yè)大學(xué)生命科學(xué)與生物工程學(xué)院(北京 100124)

關(guān)鍵詞：可穿戴設(shè)備；智能手機；低功耗藍(lán)牙；呼吸監(jiān)測；監(jiān)護系統(tǒng)

分類號：R318.6

出版年·卷·期（頁碼）：2019·38·4（417-423）

摘要：

目的呼吸運動是人體重要的生理活動之一，呼吸頻率的變化能發(fā)映人體生理狀況的好壞，因此呼吸頻率的監(jiān)測對于健康監(jiān)護具有重要意義。方法本研究設(shè)計一種基于可穿戴設(shè)備和智能手機的呼吸監(jiān)測系統(tǒng)。可穿戴式設(shè)備的主控芯片采用低功耗藍(lán)牙芯片nrf52832，利用加速度傳感器MPU6050采集人體呼吸運動的加速度信號，利用低功耗藍(lán)牙方式與智能手機進(jìn)行通信；智能手機端軟件能夠?qū)崟r接收可穿戴式設(shè)備發(fā)送過來的呼吸運動數(shù)據(jù)，利用后臺運行的呼吸檢測算法計算出呼吸頻率等相關(guān)參數(shù)，并繪制出呼吸運動波形。此外，智能手機可以對接收到的呼吸運動數(shù)據(jù)進(jìn)行存儲，可對用戶的呼吸活動進(jìn)行長期的分析研究。結(jié)果 (1)穿戴式設(shè)備工作電流11 mA，廣播電流12 mA，待機電流10 mA，工作電壓3.3 V，功率約為33 mW；(2)呼吸檢測的準(zhǔn)確率在95%以上；(3)智能手機界面能夠?qū)崟r顯示呼吸運動的加速度波形和呼吸頻率。結(jié)論本研究設(shè)計的系統(tǒng)具有方便佩戴、功耗低和呼吸檢測準(zhǔn)確性高等優(yōu)點，能夠適用于家庭等場所進(jìn)行呼吸監(jiān)護，滿足人們對日常健康監(jiān)護的需求。

Objective Breathing is one of the important physiological activities of human body, the change of respiration frequency can reflect the quality of human body, so the monitoring of respiratory frequency is of great significance for health monitoring. Methods In this study, a respiratory monitoring system based on wearable devices and smart phone was designed. The main control chip of wearable device adopts low power Bluetooth chip nrf52832, uses acceleration sensor MPU6050 to collect acceleration signal of human breathing motion, and communicates with smart phone by low power Bluetooth method. Smartphone software can receive breathing motion data sent by wearable devices in real time. The smartphone calculates the breathing frequency and other related parameters by using the breathing detection algorithm of the service running in the background, and draws the respiratory motion waveform. In addition, smart phone can store incoming breathing motion data for long-term analysis and research on the user's breathing activity. Results (1) wearable device operating current 11 mA, broadcast current 12 mA, standby current 10 mA, working voltage 3.3 V, power is about 33 mW; (2) The accuracy of respiratory testing is above 95%; (3) The smartphone interface displays the acceleration waveform and respiratory rate of the breathing movement in real time. Conclusions The system designed in this study has the advantages of easy wearing, low power consumption and high breath detection accuracy. It can be used for respiratory monitoring in homes and other places to meet people's needs for daily health monitoring.

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