胃电的时频分析:STFT的评价，自适应谱分析和指数分布

Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1994-12-01 DOI:10.1109/IEMBS.1994.415414

J.Z. Chen, Zhiyue Lin

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引用次数: 3

摘要

本文的目的是比较短时傅立叶变换(STFT)、自适应频谱分析和指数分布(ED)方法在估计胃慢波振幅和频率随时间的变化以及从胃电图(EGG)检测胃节律异常事件方面的性能。计算机模拟和实际应用结果表明，自适应谱分析方法在短时胃节律障碍检测中更为准确，而STFT方法更适合于信号幅度的估计。该方法的性能似乎介于STFT方法和自适应谱分析方法之间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Time-frequency analysis of the electrogastrogram: evaluation of STFT, adaptive spectral analysis and exponential distribution

The aim of this paper is to compare the performance of the short-time Fourier transform (STFT), adaptive spectral analysis and exponential distribution (ED) methods in estimating the changes of both amplitude and frequency of the gastric slow wave with time, and detecting gastric dysrhythmic events from the electrogastrogram (EGG). Results from both computer simulations and real applications show that the adaptive spectral analysis method is more accurate in the detection of gastric dysrhythmia with brief duration, whereas STFT method is more appropriate for the estimation of signal amplitude. The performance of the ED method appears to be in between the STFT method and adaptive spectral analysis method.

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Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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