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基于重力加速度的睡眠監(jiān)測(cè)系統(tǒng)研究

發(fā)布時(shí)間:2018-06-25 08:20

  本文選題:睡眠監(jiān)測(cè) + 加速度。 參考:《河北科技大學(xué)》2017年碩士論文


【摘要】:睡眠呼吸監(jiān)測(cè)是評(píng)估睡眠障礙類型與嚴(yán)重程度的“金標(biāo)準(zhǔn)”,是診斷睡眠障礙疾患的基本方法。目前各級(jí)醫(yī)院開展睡眠呼吸監(jiān)測(cè)受到儀器、床位、人力等條件的限制,由于其操作復(fù)雜、價(jià)格昂貴、使用場(chǎng)景固定,容易給被測(cè)者造成心理壓力和緊張,增加了他們的負(fù)擔(dān)和風(fēng)險(xiǎn),無法滿足眾多睡眠呼吸障礙患者檢查診治的需求,很難解決因睡眠環(huán)境改變導(dǎo)致監(jiān)測(cè)結(jié)果不準(zhǔn)的問題。因此,對(duì)人體睡眠過程進(jìn)行實(shí)時(shí)的生理參數(shù)監(jiān)測(cè)來改善睡眠質(zhì)量顯得特別重要。本課題基于活動(dòng)、體位和鼾聲信號(hào)構(gòu)建新型睡眠監(jiān)測(cè)系統(tǒng),就遠(yuǎn)程家中監(jiān)測(cè)的技術(shù)與方法進(jìn)行系統(tǒng)研究。本項(xiàng)目的完成,可為廣大睡眠呼吸障礙疾病患者提供方便可靠、準(zhǔn)確高效的睡眠監(jiān)測(cè)服務(wù),并根據(jù)監(jiān)測(cè)結(jié)果及時(shí)指導(dǎo)患者選擇最適宜的防治方法。本系統(tǒng)的整體設(shè)計(jì)包括移動(dòng)終端和上位機(jī)端兩個(gè)方面,為了滿足低功耗和方便攜帶等要求,保證硬件在結(jié)構(gòu)安排和元器件的選擇上都要具有高集成度和良好的抗干擾性。移動(dòng)終端采用STM32F103C8T6作為主控制器,通過MPU-6050慣性傳感器和MP45DT02傳感器分別采集重力加速度、角速度和鼾聲信號(hào)并對(duì)原始信號(hào)進(jìn)行濾波。通過互補(bǔ)濾波算法將MPU-6050加速度和角速度融合為體位信號(hào)。通過采集的加速度信號(hào)分析得到睡眠質(zhì)量,同時(shí)綜合分析鼾聲與體位信號(hào)為患者提出睡眠建議。進(jìn)行基于C語言的姿態(tài)解算和下位機(jī)軟件編程;編寫基于LabVIEW的上位機(jī)界面設(shè)計(jì)和程序的編寫并設(shè)計(jì)其與下位機(jī)的連接方式和通信協(xié)議,實(shí)現(xiàn)兩者的數(shù)據(jù)傳輸、顯示和參數(shù)的設(shè)定。通過測(cè)試證明本監(jiān)測(cè)系統(tǒng)具有控制靈敏度高、抗干擾性強(qiáng),性能穩(wěn)定、功能豐富、對(duì)患者的心理負(fù)荷小等諸多優(yōu)點(diǎn),并且具有很好的通用性,適合人們進(jìn)行實(shí)時(shí)睡眠的監(jiān)測(cè)。
[Abstract]:Sleep apnea monitoring is the golden standard for evaluating the types and severity of sleep disorders and is the basic method for diagnosis of sleep disorders. At present, hospitals at all levels are restricted by equipment, beds, manpower and other conditions for monitoring sleep breathing. Because of their complex operation, high prices, fixed use scenarios, and easy to cause psychological pressure and tension to the subjects, It increases their burden and risk and can not meet the needs of many patients with sleep apnea. It is difficult to solve the problem that the monitoring results are inaccurate due to the change of sleep environment. Therefore, it is very important to monitor real-time physiological parameters to improve sleep quality. Based on activity, posture and snoring signal, a new sleep monitoring system is constructed in this paper, and the techniques and methods of remote home monitoring are studied systematically. The completion of this project can provide convenient, reliable, accurate and efficient sleep monitoring services for the majority of patients with sleep apnea disorder, and guide the patients to choose the most appropriate prevention and treatment methods according to the monitoring results. The whole design of the system includes two aspects: mobile terminal and upper computer. In order to meet the requirements of low power consumption and easy to carry, the hardware must have high integration and good anti-interference in the structure arrangement and the choice of components. The mobile terminal uses STM32F103C8T6 as the main controller. The MPU-6050 inertial sensor and MP45DT02 sensor collect the gravity acceleration, angular velocity and snoring signal respectively and filter the original signal. MPU-6050 acceleration and angular velocity are fused to position signal by complementary filtering algorithm. The quality of sleep was obtained by analyzing the acceleration signals collected, and the sleeping suggestions were put forward by synthetically analyzing the snoring and posture signals. In order to realize the data transmission, the attitude solution and software programming based on C language, the interface design and programming of upper computer based on LabVIEW, and the connection mode and communication protocol between upper computer and lower computer are designed. Display and parameter setting. It is proved by test that this monitoring system has many advantages such as high control sensitivity, strong anti-interference, stable performance, rich function, low psychological load and so on, and has good versatility, which is suitable for people to monitor sleep in real time.
【學(xué)位授予單位】:河北科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP274

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