caa a22 4500 465783325 CHVBK 20180323112001.0 cr unu---uuuuu 170327e19901101xx s 000 0 eng 10.1007/BF02442605 doi (NATIONALLICENCE)springer-10.1007/BF02442605 Noise reduction in biological step signals: application to saccadic EOG [Elektronische Daten] [I. Bankman, N. Thakor] A weighted filter for noise reduction in nonrecurrent step signals where adaptive filtering cannot be applied is described. An optimal correction of a conventional finite impulse response (FIR) filter is achieved by using a priori knowledge of noise variance and a continuous estimation of the error signal's power. The weighted filter provides an optimal compromise between noise filtering and distortionless tracking. The prior knowledge required is that of the noise power and the lowest frequency in the noise spectrum. Application of the weighted filter to the saccadic electro-oculogram (EOG) results in better estimations of saccade duration and velocity. IFMBE, 1990 EOG nationallicence Filtering nationallicence Noise reduction nationallicence Saccade nationallicence Bankman I. Department of Biomedical Engineering, Johns Hopkins School of Medicine, 120 Rutland Av., 21205, Baltimore, MD, USA aut Thakor N. Department of Biomedical Engineering, Johns Hopkins School of Medicine, 120 Rutland Av., 21205, Baltimore, MD, USA aut Medical and Biological Engineering and Computing Kluwer Academic Publishers 28/6(1990-11-01), 544-549 0140-0118 28:6<544 1990 28 11517 https://doi.org/10.1007/BF02442605 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02442605 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bankman I. Department of Biomedical Engineering, Johns Hopkins School of Medicine, 120 Rutland Av., 21205, Baltimore, MD, USA aut NATIONALLICENCE 700 1- Thakor N. Department of Biomedical Engineering, Johns Hopkins School of Medicine, 120 Rutland Av., 21205, Baltimore, MD, USA aut NATIONALLICENCE 773 0- Medical and Biological Engineering and Computing Kluwer Academic Publishers 28/6(1990-11-01), 544-549 0140-0118 28:6<544 1990 28 11517 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer