本文關(guān)鍵詞： 光電容積脈搏波 穿戴式設(shè)備 生命體征參數(shù) 脈搏率 血氧飽和度 呼吸率 動脈血壓　出處：《浙江大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著慢性疾病的日益普遍以及人們對自身健康狀況的關(guān)注越來越多,多生命體征參數(shù)監(jiān)測系統(tǒng)開始逐漸受到人們的關(guān)注。同時(shí)隨著大數(shù)據(jù)和智能硬件的發(fā)展,穿戴式設(shè)備開始成為醫(yī)療保健領(lǐng)域的焦點(diǎn),并被普遍認(rèn)為是可覆蓋人們?nèi)粘Ｉ畹南乱淮t(yī)療監(jiān)護(hù)設(shè)備。在此背景下,本畢業(yè)設(shè)計(jì)研制了一套基于光電容積脈搏波(PPG)信號的穿戴式多生命體征參數(shù)采集系統(tǒng)。本系統(tǒng)由硬件設(shè)備和Android智能設(shè)備端的APP程序組成并協(xié)同工作。硬件設(shè)備佩戴于人體體表,并將采集到的信號發(fā)送到Android智能設(shè)備并實(shí)現(xiàn)波形的接收、顯示,和存儲等功能。本系統(tǒng)可采集單路或雙路PPG信號、單路胸導(dǎo)聯(lián)ECG信號,以及三軸加速度計(jì)信號�；谠撓到y(tǒng),本文進(jìn)一步設(shè)計(jì)了實(shí)驗(yàn)以探究位于人體喉部的最佳PPG信號采集部位。實(shí)驗(yàn)選取了 6個(gè)信號候選部位并通過四項(xiàng)參數(shù)對PPG信號的質(zhì)量進(jìn)行評估。實(shí)驗(yàn)結(jié)果發(fā)現(xiàn)了一個(gè)部位具有最高的信號穩(wěn)定性,而另一部位具有最大的信號分量,并且能夠從中提取呼吸率參數(shù)。在此基礎(chǔ)上,本文建立了基于本穿戴式系統(tǒng)的多生命體征參數(shù)提取模型,可提取脈搏率、呼吸率、血氧飽和度,以及動脈血壓中的收縮壓和舒張壓等5項(xiàng)參數(shù)。誤差分析實(shí)驗(yàn)得到了上述5項(xiàng)參數(shù)的相對誤差分別為0.73%、4.78%、0.44%、7.22%和7.82%。除了兩項(xiàng)血壓參數(shù)外,前三項(xiàng)參數(shù)都達(dá)到了較好的誤差水平。
[Abstract]:With the increasing popularity of chronic diseases and people's concern about their own health status, the multi-vital sign parameter monitoring system has gradually attracted people's attention. At the same time, with the development of big data and intelligent hardware, Wearable devices are beginning to be the focus of health care, and are widely considered to be the next generation of medical care devices that can cover people's daily lives. This graduation design developed a wearable multi-vital sign parameter acquisition system based on photoelectric volumetric pulse wave (PPG) signal. The system is composed of hardware equipment and APP program at the end of Android intelligent device. The hardware equipment is worn on the human body surface. The system can collect single channel or double channel PPG signal, single chest lead ECG signal and three-axis accelerometer signal. In this paper, an experiment was designed to explore the best PPG signal acquisition site in human larynx. Six candidate sites were selected and the quality of PPG signal was evaluated by four parameters. A site has the highest signal stability, The other part has the largest signal component, and can extract the respiration rate parameter from it. Based on this, this paper establishes a multi-vital sign parameter extraction model based on the wearable system, which can extract pulse rate and respiration rate. The relative errors of the above five parameters are 0.73 and 4.78 0.44% and 7.82%, respectively, except for two parameters of blood pressure. The first three parameters have reached a good error level.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP274.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 楊益民,李旭雯,羅志昌,張松;應(yīng)用光電容積脈搏波法研制新型血流參數(shù)監(jiān)護(hù)系統(tǒng)[J];中國醫(yī)療器械信息;2001年05期

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本文編號：1495039