1982
DOI: 10.1109/tbme.1982.324861
|View full text |Cite
|
Sign up to set email alerts
|

Digital Low-Pass Differentiation for Biological Signal Processing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
60
0
1

Year Published

1994
1994
2023
2023

Publication Types

Select...
7
2
1

Relationship

0
10

Authors

Journals

citations
Cited by 197 publications
(61 citation statements)
references
References 5 publications
0
60
0
1
Order By: Relevance
“…Often the continuum background was removed by the use of high-pass filtering on the dynamic spectra (usually differentiation). This filtering, however, amplifies the high-frequency noises therefore the smoothed differentiation filter of Usui and Amidror (1982) was used. This performs simultaneously a smoothing and differentiation so it can be regarded as a low-pass differentiation filter (digital differentiator) appropriate for experimental (noisy) data processing.…”
Section: Data Processingmentioning
confidence: 99%
“…Often the continuum background was removed by the use of high-pass filtering on the dynamic spectra (usually differentiation). This filtering, however, amplifies the high-frequency noises therefore the smoothed differentiation filter of Usui and Amidror (1982) was used. This performs simultaneously a smoothing and differentiation so it can be regarded as a low-pass differentiation filter (digital differentiator) appropriate for experimental (noisy) data processing.…”
Section: Data Processingmentioning
confidence: 99%
“…Target and eye position signals were digitally sampled at 400 samples per sec per chan nel (12 bit resolution) and stored on disk for offline anal ysis. Eye-velocity was obtained digitally, using the com putational method of Usui and Amidror (1982) with parameters n = 1.5, L = 0.5 (bandwidth OC-52.5 Hz).…”
Section: Eye Movement Recordingmentioning
confidence: 99%
“…The rise rate, computed using a simple "low pass differentiator" (Usui & Admiror 1982) with a user definable threshold level was applied for potential recognition. Each potential recognized as belonging to the given sequence was marked with a cursor.…”
Section: Methodsmentioning
confidence: 99%