Paskaranandavadivel Niranchan, Bull Simon H, Parsell Doug, Cheng Leo K, Abell Thomas L
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6098-101. doi: 10.1109/EMBC.2015.7319783.
Clinical evaluation of cutaneous electrogastrograms (EGG) is important for understanding the role of slow waves in functional motility disorders and may be a useful diagnostic aid. An automated software package has been developed which computes metrics of interest from EGG and from slow wave recordings from the gastric mucosa and serosa in a reliable and efficient manner. In particular, the frequency and amplitude of the gastric slow waves were computed, after which signal integrity checks were performed to assess if the signals are valid. For validation, manual estimates of the frequency and amplitude were compared to automated estimates. The methods were packaged into a software executable which processes the data and presents the results in an intuitive graphical and a spreadsheet formats. Automated EGG analysis allows for clinical translation of bio-electrical analysis for potential diagnostics, as commonly used in the cardiac field.
皮肤胃电图（EGG）的临床评估对于理解慢波在功能性运动障碍中的作用很重要，并且可能是一种有用的诊断辅助手段。已经开发了一个自动化软件包，该软件包能够以可靠且高效的方式从EGG以及胃黏膜和浆膜的慢波记录中计算出感兴趣的指标。特别是，计算了胃慢波的频率和幅度，之后进行信号完整性检查以评估信号是否有效。为了进行验证，将频率和幅度的手动估计值与自动估计值进行了比较。这些方法被打包成一个软件可执行文件，该文件处理数据并以直观的图形和电子表格格式呈现结果。自动化EGG分析允许将生物电分析用于临床诊断，这在心脏领域中很常用。
