Black J S, Lovely D F
Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada.
Med Eng Phys. 1997 Apr;19(3):279-85. doi: 10.1016/s1350-4533(96)00055-0.
The use of somatosensory evoked potentials (SEPs) for determining spinal cord integrity in a clinical setting is well known. The poor signal-to-noise (SNR) ratio of such measurements has led to ensemble averaging being employed to extract the signal from the background noise. Over the thoracic region, the poor SNR is largely the result of interference generated by the cardiac musculature. Therefore, any reduction in the level of this cardiac interference will greatly improve the performance of any SEP monitoring system. Three methods were investigated as techniques to reduce the cardiac interference in SEP measurements. These were clipping, gating and adaptive noise cancellation (ANC). It was found that, although clipping and gating performed as well as, if not better than, ANC, these techniques were both very sensitive to the setting of a threshold level. The linear ANC scheme employed circumvented the problem associated with a threshold level, and with an order of 50, SNR improvement figures of approximately sixfold were achievable over the entire thoracic region.
在临床环境中使用体感诱发电位(SEP)来确定脊髓完整性是众所周知的。此类测量的低信噪比(SNR)导致采用叠加平均法从背景噪声中提取信号。在胸部区域,低信噪比主要是由心肌组织产生的干扰所致。因此,这种心脏干扰水平的任何降低都将极大地提高任何SEP监测系统的性能。研究了三种方法作为减少SEP测量中心脏干扰的技术。这些方法是削波、选通和自适应噪声消除(ANC)。结果发现,尽管削波和选通的性能与ANC相当,甚至可能更好,但这些技术都对阈值水平的设置非常敏感。所采用的线性ANC方案规避了与阈值水平相关的问题,在整个胸部区域,通过50阶的线性ANC方案,SNR改善倍数可达到约6倍。