Comparison of time-frequency distribution techniques for analysis of spinal somatosensory evoked potential

被引：13
|
作者：
Hu, Y [1 ]
Luk, KDK [1 ]
Lu, WW [1 ]
Holmes, A [1 ]
Leong, JCY [1 ]
机构：
[1] Univ Hong Kong, Dept Orthopaed Surg, Hong Kong, Hong Kong, Peoples R China
来源：
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING | 2001年 / 39卷 / 03期
关键词：
spinal somatosensory evoked potential (SSEP); time-frequency analysis (TFA); intraoperative spinal cord monitoring; short time Fourier transform (STFT); Wigner-Ville distribution (WVD); Choi-Williams distribution (CWD); cone shaped distribution (CSD); adaptive spectrogram (ADS);
D O I：
10.1007/BF02345294
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Spinal somatosensory evoked potential (SSEP) has been employed to monitor the integrity of the spinal cord during surgery. To detect both temporal and spectral changes in SSEP waveforms, an investigation of the application of time-frequency analysis (TFA) techniques was conducted. SSEP signals from 30 scoliosis patients were analysed using different techniques; short time Fourier transform (STFT), Wigner-Ville distribution (WVD), Choi-Williams distribution (CWD), cone-shaped distribution (CSD) and adaptive spectrogram (ADS). The time-frequency distributions (TFD) computed using these methods were assessed and compared with each other. WVD, ADS, CSD and CWD showed better resolution than STFT. Comparing normalised peak widths, CSD showed the sharpest peak width (0.13 +/- 0.1) in the frequency dimension, and a mean peak width of 0.70 +/- 0.12 in the time dimension. Both WVD and CWD produced cross-term interference, distorting the TFA distribution, but this was not seen with CSD and ADS. CSD appeared to give a lower mean peak power bias (10.3% +/- 6.2%) than ADS (41.8% +/- 19.6%). Application of the CSD algorithm showed both good resolution and accurate spectrograms, and is therefore recommended as the most appropriate TFA technique for the analysis of SSEP signals.
引用
收藏
页码：375 / 380
页数：6
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