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本帖最后由 liuxun318 于 2015-11-20 16:29 编辑 由于最近在忙着搭建无创血压监测的前端硬件和手机端APP的设计,有一段时间没来发贴了。今天坐下来好好写写,也希望大家能就里面的问题相互交流。 1、无创血压监测的硬件组成: 光电发射LED、MSP430F4618、H桥驱动发射led电路、电源管理电路、4.2V锂电池、W25Q32Flash存储模块、蓝牙从机和按键。 血压监测的原理:因心脏射血,从而引起血液和血管壁之间振荡,这一生理现象体现在指端处,当手指放入探头腔体内,单片机通过12位DA模块和外置H桥驱动电路驱动位于手指下表面的光电发射LED交替发出660纳米红光和920纳米的红外光,因为手指皮肉及血液成分会吸收一部分发射光,发射光透过手指后的那部分被位于手指上表面的光电接收LED捕获,而捕获的信号中0.6HZ-18HZ的交流信号为有用信号,如脉搏波。上次因急事离开没能写完,今天接着上文继续写 这里有两张图:图一是已经完成开模的无创血压监测的探头,将手指伸进探头腔体内即可测量,如下图所示: 图二是无创血压监测的安卓手机端APP:此APP通过蓝牙与探头连接,可以观看到脉搏波的波形。 2 滤波器的设计: 通过监测探头已经能准确采集到脉搏波信号了,由于信号的噪声比较大,为得倒光滑干净的信号则需要设计滤波器。这里我要感谢广州创龙能提供TMS320C6748来来让我能尝试基于浮点型DSP的FIR滤波器设计。已知脉搏波的有用信号是0.6HZ——18HZ的交流信号,要知道所采集到的信号到底有哪些频率成分,并根据所含的频率成分进行滤波器的设计,这里要使用matlab来处理,如图3所示: 上图就是原始采集到的信号在matlab中分别经平滑滤波和低通滤波后的波形和频谱图。 滤波器的具体设计借助Matlab中的FDAtool,如图4所示: 考虑到大部分信号都集中在10HZ以内,因此给低通滤波器的通带截止频率设为10HZ。设计好后,点击菜单栏Target下的Generate C header将滤波器的系数以C头文件的形式导出。 3 基于C6748的FIR滤波器设计 这时候打开Startware中的FiR工程,主要做两部分的修改: 3.1 将const float B[N] 中的系数用刚才导出的系数进行替换,并注意修改N的值,这里改为64; 3.2 将FIR_In用无创血压传感器烫头采集到的数据替换,同时也要注意每次出来的数据长度Tn,这里我采集到的数据一帧含有2100个数据。 以下贴出仿真的输入信号时域波形图和频谱图,如图5和图6所示: 图5 图6 经过低通滤波后的输出信号时域波形图和频谱图,分别如图7和图8所示: 图7 图8 通过比较输入信号和输出信号的时域波形,从图5和图7中发现输出信号中噪声得到了有效的滤除,信号变得更光滑了;从频域上看,比较图6和图8,得倒输出依然保持着原始信号的有效频谱成分,并且使主频率成分旁的频率成分得到了抑制,主峰旁的其他频率成分的幅度有所下降。 4血压的计算原理 以上内容已经能初步得倒比较好的脉搏波信号了,接下来就是如何利用脉搏波信号来提取出血压的信息了。这也是我读研究生期间的一个研究方向,各位同仁有感兴趣的可以参考这篇文献:来自桂林电子科技大学梁永波博士的《基于容积脉搏波的无创连续血压测量系统》这篇文章。里面讲的很清楚,也有具体的详细推导过程。 最后附上我的无创血压监测传感器探头采集到的原始脉搏波数据,大家对脉搏波处理有兴趣可以拿去做一下类似的实验,希望集大家的智慧能提取出更多的有效的生理信息。 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5个回答
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怎么上传后图与图标会错位呢
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楼主发布资源辛苦了,谢谢分享!!!!!!!!
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非常好啊,楼主辛苦!
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你这个跟我做的一个血氧监测的项目很类似啊
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这个项目不错,挺好的,支持
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