摘要
为提高心电监护仪的工作效率,节约采购成本,本研究基于传统心电监护仪提出了一种数字化方法。首先,在心电监护仪上加装光学摄像头,以实时获取心电监护仪的视频影像;然后,利用峰值搜索方法实现图像分割和感兴趣区域识别;最后,采用模板匹配方法对字符进行识别,定时提取心电监护仪上的典型数值,并进行数据存储与处理。实验表明,本研究方法受光线和拍摄角度的影响较小,适应环境能力较强,可满足数据提取需要。本研究可实现心电监护仪的数字化改进。
In order to improve the work efficiency of electrocardiograph(ECG)monitor and save procurement cost,we proposed a digital method based on ECG monitor.Firstly,an optical camera was installed on the ECG monitor to obtain the video image of the ECG monitor in real time.Then,the peak search method was used to realize image segmentation and region of interest recognition.Finally,the template matching method was used to recognize characters,the typical values on the ECG monitor were extracted regularly,and the data were stored and processed.The experimental results showed that this method was less affected by light and shooting angle,and had strong adaptability to the environment,which could meet the needs of data extraction.This research can realize the digital improvement of ECG monitor.
作者
邝又新
姚欢
娄昊
龚安民
KUANG Youxin;YAO Huan;LOU Hao;GONG Anmin(International Medical Center of Henan Provincial People's Hospital,Henan Key Laboratory of Nursing Medicine,People's Hospital of Zhengzhou University,Zhengzhou 450002,China;Engineering University of PAP,Xi′an 710086,China)
出处
《生物医学工程研究》
2023年第4期337-343,共7页
Journal Of Biomedical Engineering Research
基金
国家自然科学基金资助项目(62006246,31900978)。
