Implementation of Long-term Recording and Analysis Biosignal with Embedded System

• Main Authors: Yan-Hsiang Huang, 黃彥翔
• Other Authors: Wei-Chih Hu
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/20654418008576097740

碩士 === 中原大學 === 生物醫學工程研究所 === 100 === Real-time reception and analysis of information may bring better work performance and time efficiency. For immediate function of the human body, the autonomic nerve system could regulate the heart rate and show corresponding real-time performance. Suitable autonomic regulation may indicate the sensitivity of a human body’s regulatory function at the proper time and place. Dysfunction of the autonomic nervous system may be discovered through real-time analysis of heart rate variability. The long-term decreased of heart rate variation in frequency domain has suggested that it is a risk factor in cardiac disease. Decreased of autonomic nervous tone leads to the dysfunction cardiac regulation. If the abnormal heart rate variability could be detected in time, then, the patients will be alarmed. Thus, the purpose of this study is to utilize an embedded system to develop a long term recording system for real-time bio-signal acquisition and analysis. This system to capture physiological signals using a single-chip micro-controller, using Bluetooth to transfer signals to the system platform (Samsung Mini 2440), can real-time processing regarding the acquisition and analysis of electrocardiography (ECG) signals. Physiological information can be displayed in real time and stored in the system device, and through networks, Bluetooth, USB or SD card communication physiological information transferred to your computer, to achieve long-term record and analysis. Analysis of heart rate variability and heart rate data collected data can be edited by Borland C++Builder program, can be used to observe the analyzed results after monitoring of the system platform. Experimental analysis of the discussions, in order to improve the measurement accuracy, match combination four different heartbeat frequencies as input signals for verification of signal processing, and error rate of approximately 1%, which determine the correctness of the results of spectrum analysis of the system platform is correct. On the part of measurement, this study has resorted to 10 subjects to two different environments. It is found in the observation by this system that the subjects have higher low-frequency under drastically physical and mental athletic environment, indicating the sympathetic effect in the subjects. When they are under environment of rest, their high-frequency is relatively higher, indicating their parasympathetic effect. Then, with T-TEST analysis we can learn that P values obtained under low-frequency and high-frequency are both smaller than 0.05. Through spectral analysis of heat beat variability, given variations on autonomic nerve system directly quantified description of. As a result, through this system may be clearly observed the interaction between sympathetic and parasympathetic. This study on the construction of a long time collecting physiological information and real time analysis of heart rate variability of the system platform, not only with very high accuracy, and ease of patient monitoring and real time and remote connections.