本文選題：脈搏信號(hào) + 可穿戴計(jì)算��； 參考：《北京工業(yè)大學(xué)》2014年碩士論文

【摘要】：心腦血管是危害當(dāng)今人類健康的主要疾病之一，隨著我國(guó)人民生活水平的不斷提高以及老齡化加深，其發(fā)病率和死亡率逐年增加。因此，需要一種方便快捷的檢測(cè)方法來(lái)隨時(shí)了解自身的健康狀況。脈搏信號(hào)是一種非線性、非平穩(wěn)的生理信號(hào)，其中含有大量的生理、病理信息，通過(guò)對(duì)其信號(hào)的檢測(cè)并研究分析結(jié)果，可以對(duì)早期的心腦血管疾病有預(yù)防并能夠及時(shí)對(duì)患者進(jìn)行治療。本課題應(yīng)采用可穿戴計(jì)算技術(shù)開(kāi)發(fā)脈搏數(shù)據(jù)采集系統(tǒng)，并基于LabVIEW開(kāi)發(fā)脈搏分析處理軟件。 本文確定以ATmegal6單片機(jī)為核心的Arduino開(kāi)發(fā)為基礎(chǔ)，對(duì)脈搏信號(hào)進(jìn)行采集和存儲(chǔ)，并集成藍(lán)牙模塊將數(shù)據(jù)傳輸?shù)缴衔粰C(jī)。其中上位機(jī)以LabVIEW為平臺(tái)，采用多分頁(yè)的方式和多模塊化設(shè)計(jì)理念開(kāi)發(fā)一套脈搏信號(hào)采集、分析系統(tǒng)軟件。該軟件主要包括數(shù)據(jù)庫(kù)管理模塊、脈搏數(shù)據(jù)采集模塊、脈搏信號(hào)處理模塊等。由于脈搏信號(hào)幅值較低，在數(shù)據(jù)采集的過(guò)程中，信號(hào)可能會(huì)包含摩擦、干擾等噪聲信號(hào)，對(duì)脈搏數(shù)據(jù)、信號(hào)等的提取容易造成誤判，需要進(jìn)行去噪處理。 論文將采集到的脈搏信號(hào)進(jìn)行小波去噪，，通過(guò)分析得到適合的小波去噪方法，并將脈搏數(shù)據(jù)進(jìn)行小波特征值提取，進(jìn)而將正常人的脈搏數(shù)據(jù)與患者的脈搏數(shù)據(jù)進(jìn)行區(qū)分，以此來(lái)判斷老年人是否發(fā)病，達(dá)到監(jiān)測(cè)老年人身體健康的目的，為老年人心血管疾病早期預(yù)防和治療提供決策支持。
[Abstract]:The cardiovascular and cerebral blood vessels are one of the main diseases that harm the health of human being. With the continuous improvement of the living standards and the deepening of the aging of the people in China, the incidence and mortality of the blood are increasing year by year. Therefore, a convenient and quick method is needed to understand the health of the people at any time. The pulse signal is a nonlinear, non-stationary physiology. The signal, which contains a lot of physiological and pathological information, can prevent the early cardiovascular and cerebrovascular diseases and can treat the patients in time by detecting the signals and studying the analysis results. This topic should develop the pulse data collection system by wearable computing technology, and develop the pulse analysis software based on LabVIEW.
Based on the development of Arduino with ATmegal6 as the core, this paper is to collect and store the pulse signal, and integrate the Bluetooth module to the upper computer. The upper computer uses LabVIEW as the platform to develop a pulse signal acquisition and analysis system software by multi paging and multi modular design idea. Mainly including database management module, pulse data acquisition module, pulse signal processing module and so on. Due to the low pulse signal amplitude, in the process of data acquisition, the signal may contain friction, interference and other noise signals, the extraction of pulse data, signal and so on is easy to be misjudged and need to be de-noised.
The pulse signal of the collected pulse is de-noised by wavelet, and the suitable wavelet denoising method is obtained, and the pulse data is extracted from the wavelet characteristic value. Then the pulse data of the normal person is distinguished from the pulse data of the patient, in order to judge whether the elderly are sick or not, so as to monitor the health of the elderly. The early prevention and treatment of cardiovascular disease in the elderly provide decision support.
【學(xué)位授予單位】：北京工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.6

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4 余t

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