Title :
Automated Removal of Stimulus Artifact in Nerve Conduction Studies
Author :
Tracey, Brian H. ; Krishnamachari, Srivathsan
Author_Institution :
Neurometrix Inc., Waltham, MA
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
An algorithm for automated removal of stimulus artifact has been developed and tested on nerve conduction study data. The algorithm uses a hardware-based model of the stimulus artifact (SA). Model parameters are estimated from portions of the data that are judged to contain only the artifact. The model can be used to remove SA even when it is temporally overlapped with the nerve signal. Data are shown to demonstrate the algorithm´s performance and to quantify the effect of SA removal on clinical parameters
Keywords :
medical computing; neurophysiology; automated stimulus artifact removal; hardware-based model; nerve conduction; nerve signal; Biomembranes; Blanking; Delay; Electrodes; Geometry; Hardware; Muscles; Signal processing algorithms; Switches; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260654
