【作者】 孙振华；

【导师】 孙立宁；

【作者基本信息】 哈尔滨工业大学 ， 机械电子工程， 2007， 硕士

【摘要】 随着人们生活水平与健康意识的不断提高,以及人口老年化的趋势,医疗电子产品已经越来越受到人们的欢迎,人体健康监护仪就是其中之一。因此,针对人体健康监护的发展趋势,本文对生物电信号的测量、处理和识别等技术进行了深入的分析和创造性的改进,设计出腕带式多参数健康监护系统。该系统具有便携式的腕带设计和强大的信号处理能力,能监护人体心电、血压、心率和体温等多项生理指标,以期能够使人们快捷准确地了解自身的身体状况,调整生活方式、提高生活质量,最终能够成为帮助健康的益友。首先,根据各种生物电信号的特征及其检测技术的优缺点,结合本课题的设计思路,设计出合理的信号检测方案和硬件电路,包括血压检测电路,心电检测电路和体温检测电路;同时又设计了双电源模块、锂离子充电保护电路、液晶显示模块和数据存储模块等其他的模块电路。其次,对生物电信号进行了处理与识别,针对示波法血压测量的不足,提出了一种将突变法和归一法相结合的血压测量新方法,保证了收缩压和舒张压处脉搏波突变点的准确识别;近年来发展起来的小波理论,在表征信号局部特征上具有很强的能力,适用于检测信号的奇异点或瞬变。利用小波变换对心电信号在不同尺度上进行分解,有效地检测出信号波形的各个特征点,从而建立了基于小波变换的心电信号QRS波的识别方法。最后,通过实验,对血压、心电、心率和体温检测模块测量的准确性进行验证,实验数据经SPSS统计软件分析,各项指标均达到设计要求,验证了健康监护系统的可行性,并通过Matlab仿真软件,对基于小波变换的心电信号QRS波识别算法进行在各种干扰的条件下仿真实验,实验结果表明QRS波的特征点都能被心电信号QRS波识别算法准确识别。更多还原

【Abstract】 With the gradual improvement of living standards and health awareness, and the aging population trend, medical electronic products have been increasingly welcomed by the people; human health care monitor is one of them. Aiming at the development trend of human health care, in-depth analysis and creative improvements were carried out for bioelectric signal measuring, processing and recognizing technology, and a wrist-wear, multi-parameter health care system was designed in this paper. This system is portable wrist design and powerful signal processing capabilities, which can guardian body ECG, blood pressure, heart rate and many other physiological indicators, and make people know the physical condition of their own quickly and accurately to adjusted lifestyle and enhance the quality of life. It could ultimately become the befriender of health.Firstly, the advantages and disadvantages of various bioelectric signal measuring technology is summarized, the reasonable detecting programs and hardware circuits were designed in light of the subject design, blood pressure measurement circuit, ECG measurement circuit, body temperature measurement circuit were included; and power supply module circuit, charge and protect of single Li-Ion battery circuit, liquid crystal display module, memory module and other circuits were designed.Secondly, as to bioelectric signal processing and recognizing technology, Against oscillometric method of blood pressure measurement inadequate, a new method of blood pressure measurement was raised combining with mutagensis method and rate coefficient method, guaranteed the pulse wave point mutation was accurately identified in systolic and diastolic blood pressure; In recent years wavelet theory was developed, wavelet transform has multiresolution analysis and the ability of characterizing partial signal characteristics in time-frequency domain. Accordingly, a wavelet transform of QRS ECG recognizing method was raised.Finally, the system was applied to experiments, to certify the accuracy of blood pressure, ECG, heart rate and body temperature measurement modules. Experimental data were analyzed with SPSS statistical analysis software, all targets were in accord with design requirements. Thus, the feasibility of this human health care system was certified. Meanwhile Matlab simulation experiment of various interference conditions was carried out and experimental results show that the characteristics of QRS point can be identified accurately by QRS ECG recognizing algorithm.更多还原