title: Selection of floating-point or fixed-point for adaptive noise canceller in somatosensory evoked potential measurement.
abstract: Adaptive noise canceller (ANC) has been used to improve signal to noise ratio (SNR) of somsatosensory evoked potential (SEP). In order to efficiently apply the ANC in hardware system, fixed-point algorithm based ANC can achieve fast, cost-efficient construction, and low-power consumption in FPGA design. However, it is still questionable whether the SNR improvement performance by fixed-point algorithm is as good as that by floating-point algorithm. This study is to compare the outputs of ANC by floating-point and fixed-point algorithm ANC when it was applied to SEP signals. The selection of step-size parameter (micro) was found different in fixed-point algorithm from floating-point algorithm. In this simulation study, the outputs of fixed-point ANC showed higher distortion from real SEP signals than that of floating-point ANC. However, the difference would be decreased with increasing micro value. In the optimal selection of micro, fixed-point ANC can get as good results as floating-point algorithm.
authors.affiliation: Institute of Biomedical Engineering of Perking Union Medical College & Chinese Academy of Medical Sciences, Tianjin 300192, China. shenchongfei@yahoo.com.cn
authors.forename: Chongfei
authors.initials: C
authors.lastname: Shen
authors.forename: Hongtao
authors.initials: H
authors.lastname: Liu
authors.forename: Xb
authors.initials: X
authors.lastname: Xie
authors.forename: Keith Dk
authors.initials: KD
authors.lastname: Luk
authors.forename: Yong
authors.initials: Y
authors.lastname: Hu
mesh_terms: D000328:Adult; D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D005073:Evoked Potentials, Somatosensory / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted