目的:设计一种生理参数无创非接触监测系统,实现健康状况的实时监测。方法:采用Arduino硬件及其集成开发环境(integrated development environment,IDE),选择高精度、高灵敏度的GY-MCU90615红外温度模块和Si1143心率血氧模块监测人体的...目的:设计一种生理参数无创非接触监测系统,实现健康状况的实时监测。方法:采用Arduino硬件及其集成开发环境(integrated development environment,IDE),选择高精度、高灵敏度的GY-MCU90615红外温度模块和Si1143心率血氧模块监测人体的生理参数。整个系统主要由生理参数采集、开发平台、COM端口传输、网络传输和数据终端5个部分构成。结果:该系统可对体温、血氧和心率实现实时、无创、非接触、准确的监测,达到了良好的预期效果。结论:该系统设计新颖、监测方便,适用于医院、养老院和家庭等场所进行人体生理参数监测。展开更多
Functional near-infrared spectroscopy(fNIRS),as a new optical functional neuroimaging method,has been widely used in neuroscience research.In some research fields with NIRS,heartrate(HR)(or heartbeat)is needed as usef...Functional near-infrared spectroscopy(fNIRS),as a new optical functional neuroimaging method,has been widely used in neuroscience research.In some research fields with NIRS,heartrate(HR)(or heartbeat)is needed as useful information to evaluate its influence,or to know the state ofsubject,or to remove its artifact.If HR(or heartbeat)can be detected with high accuracy from theoptical intensity,this will undoubtedly benefit a lot to many NIRS studies.Previous studies haveused the moving time window method or mathematical morphology method(MMM)to detectheartbeats in the optical intensity.However,there are some disadvantages in these methods.In thisstudy,we proposed a method combining the periodic information of heartbeats and the operator ofmathematical morphology to automatically detect heartbeats in the optical intensity.First theoptical intensity is smoothed using a moving average flter.Then,the opening operator of math-ematical morphology extracts peaks in the smoothed optical intensity.Finally,one peak is iden-tified as a heartbeat peak if this peak is the maximum in a predefined point range.Throughvalidation on experimental data,our method can overcome the disadvantages of previous methods,and detet heartbeats in the optical signal of fNIRS with nearly 100%accuracy.展开更多
文摘目的:设计一种生理参数无创非接触监测系统,实现健康状况的实时监测。方法:采用Arduino硬件及其集成开发环境(integrated development environment,IDE),选择高精度、高灵敏度的GY-MCU90615红外温度模块和Si1143心率血氧模块监测人体的生理参数。整个系统主要由生理参数采集、开发平台、COM端口传输、网络传输和数据终端5个部分构成。结果:该系统可对体温、血氧和心率实现实时、无创、非接触、准确的监测,达到了良好的预期效果。结论:该系统设计新颖、监测方便,适用于医院、养老院和家庭等场所进行人体生理参数监测。
基金support from the PhD research startup foundation of Guangdong Medical University(2XB14006).
文摘Functional near-infrared spectroscopy(fNIRS),as a new optical functional neuroimaging method,has been widely used in neuroscience research.In some research fields with NIRS,heartrate(HR)(or heartbeat)is needed as useful information to evaluate its influence,or to know the state ofsubject,or to remove its artifact.If HR(or heartbeat)can be detected with high accuracy from theoptical intensity,this will undoubtedly benefit a lot to many NIRS studies.Previous studies haveused the moving time window method or mathematical morphology method(MMM)to detectheartbeats in the optical intensity.However,there are some disadvantages in these methods.In thisstudy,we proposed a method combining the periodic information of heartbeats and the operator ofmathematical morphology to automatically detect heartbeats in the optical intensity.First theoptical intensity is smoothed using a moving average flter.Then,the opening operator of math-ematical morphology extracts peaks in the smoothed optical intensity.Finally,one peak is iden-tified as a heartbeat peak if this peak is the maximum in a predefined point range.Throughvalidation on experimental data,our method can overcome the disadvantages of previous methods,and detet heartbeats in the optical signal of fNIRS with nearly 100%accuracy.
