获取PPG信号诊断心脏相关参数

Rutuja Laulkar, Nivedita Daimiwal
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引用次数: 11

摘要

利用光子作为传感元件的光学传感器在非侵入性诊断领域越来越重要和相关。原因在于,与EEG、MRI和FMRI等工具相比,它们结构简单,使用方便,价格相对便宜,无需太多投资即可用于研究目的。在现有的各种光学传感器中,本研究使用的是能够测量皮下血管血容量变化的光容积脉搏波传感器。目的是利用反射式PPG传感器对心率、血压、呼吸频率等参数进行诊断。从传感器实时采集PPG信号,借助单片机和rs232串行通信,在MATLAB上观察PPG信号的实时采集。对PPG信号频谱的详细分析表明,心脏峰值在1Hz左右,对应每分钟60次脉动,呼吸峰值在0.25 Hz左右,对应每分钟15次吸气/呼气周期。对PPG信号进行分析后,计算出所有参数,并借助图形用户界面(GUI)在GUI窗口上同时显示所有参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acquisition of PPG signal for diagnosis of parameters related to heart
Optical sensors that use photons as sensing elements are increasingly becoming important and relevant in the field of non-invasive diagnostics. The reason is that they are simple in construction, easy to use and relatively inexpensive in comparison with tools such as EEG, MRI and FMRI that can be used for research purposes without much investment. Among the various optical sensors available, the photoplethysmographic sensors that are capable of measuring the blood volumetric changes in subcutaneous vessels are used in present study. Objective is to diagnose different parameters like heart rate, blood pressure, respiratory rate, with the help of reflectance type PPG sensor. Real time PPG signal is captured from the sensor and with the help of microcontroller and RS 232 serial communication, the real time acquisition of PPG signal is observed on MATLAB. Detailed analysis of frequency spectrum of PPG signal shows a cardiac peak around 1Hz corresponding to 60 pulsations a minute and respiratory peak around 0.25 Hz corresponding to 15 inspiration/expiration cycles per minute. After the analysis of PPG signal, all the parameters are calculated and with the help of graphic user interface (GUI), all the parameters can simultaneously be seen on GUI window.
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