Title :
Fast measurement of SEP for monitoring spinal cord during scoliosis
Author :
Fung, K.S.M. ; Du, M.H. ; Liu, W.Q. ; Chan, F.H.Y. ; Lam, F.K. ; Luk, D.K. ; Hu, Y.
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
fDate :
29 Oct-1 Nov 1998
Abstract :
Recently there has been considerable interest in the use of somatosensory evoked potential (SEP) for monitoring the functional integrity of the spinal cord during surgery such as scoliosis. This paper describes a monitoring system and signal processing algorithms, which consist of an artificial neural network filter and a wavelet signal enhancer developed to enhance the signal-to-noise ratio (SNR) of surface recorded SEP. The authors´ system allows fast detection of change in SEP´s peak latency, amplitude and signal waveform, which are the main parameters of interest during intra-operative procedures
Keywords :
bioelectric potentials; computerised monitoring; medical signal processing; neural nets; neurophysiology; patient monitoring; somatosensory phenomena; surgery; wavelet transforms; artificial neural network filter; fast SEP measurement; functional integrity; intraoperative procedures; scoliosis surgery; signal processing algorithms; signal-to-noise ratio enhancement; somatosensory evoked potential; spinal cord monitoring; wavelet signal enhancer; Artificial neural networks; Delay; Filters; Monitoring; Signal processing; Signal processing algorithms; Signal to noise ratio; Spinal cord; Surface waves; Surgery;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747058
