纸张记录的心电图数字化方法与自动参考电压选择用于远程监控和诊断
Liang-Hung Wang1,2, Chao-Xin Xie2, Tao Yang2
1School of Advanced Manufacturing, Fuzhou University, Quanzhou 362200, China.
Diagnostics (Basel, Switzerland)
|September 14, 2024
概括
本研究提出了一种将纸张心电图 (ECG) 转换为数字数据的新方法,改进疾病分析和远程诊断. 该技术准确地重建了心电图信号,克服了噪音和格式挑战.
科学领域:
- 生物医学工程 生物医学工程
- 数字信号处理 数字信号处理
背景情况:
- 传统的纸张心电图 (ECG) 在数据共享和分析方面存在挑战,原因是各种格式和数字摄影的噪音干扰.
- 现有的方法难以准确地将模拟心电图数据转换为数字格式,这阻碍了病后分析和远程诊断.
研究的目的:
- 开发新的方法来将纸质记录的ECG转换为准确的数字数据.
- 提高心电图信号重建的准确性和可靠性,以改善医疗分析和通信.
主要方法:
- 利用色彩和值 (HSV) 属性,有效地从心电图片中去除网格线.
- 实施了适应性局部值方法,以实现强大的前景和后景的分离.
- 开发了一种用于自动识别校准方波的算法,以确保信号幅度的一致性.
主要成果:
- 使用MIT-BIH和PTB数据库验证了信号重建算法.
- 实现了重建和原始信号之间的高平均皮尔森相关系数 (0.97和0.98).
- 证明了低平均绝对误差 (0.324和0.241),表明了高的重建准确性.
结论:
- 提出的方法成功地将纸张ECG转换为适合软件分析的数字格式.
- 用于ECG参考电压获取和恢复的自动化技术显著提高了重建的准确性.
- 这种方法有助于改进数据存储,医疗通信,远程心电图分析,并减少诊断错误.
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