Artifact Detection Algorithms
Artifact Detection Algorithm is a computational method designed to identify and distinguish non-physiological signals or distortions in biological data, differentiating itself from other signal processing techniques by specifically targeting spurious elements introduced by measurement or environmental factors.
105
Publications
5.3K
Citations
460
Authors
215
Institutions
Publications per year
2017–2026
41
Parents
105
An Approach to Artifact Identification: Application to Heart Period Data
Gary G. Berntson, Karen S. Quigley, Jaye F. Jang et al. · Psychophysiology · 1990 · 397 citations
A method for estimating and removing streaking artifacts in quantitative susceptibility mapping
Wei Li, Nian Wang, Fang Yu et al. · NeuroImage · 2014 · 351 citations · Full text
Automatic identification of artifacts in electrodermal activity data
Sara Taylor, Natasha Jaques, Weixuan Chen et al. · 2015 · 265 citations · Full text
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Ollscoil na Gaillimhe – University of Galway, Ireland
3 publications · 181 citations
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215
University Hospital Cologne
Cologne, Germany
4 h-index
28 publications
1.3K citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
3 publications
421 citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
3 h-index
12 publications
685 citations

University of Reggio Calabria
Reggio Calabria, Italy
3 h-index
8 publications
198 citations
KU Leuven
Leuven, Belgium
3 h-index
14 publications
1K citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
8 publications
1.6K citations
University of Kansas Medical Center
Kansas City, United States
3 h-index
6 publications
216 citations
Nottingham Trent University
Nottingham, United Kingdom
3 h-index
9 publications
324 citations
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4 publications · 275 citations
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4 publications · 305 citations
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3 publications · 534 citations
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2 publications · 61 citations
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2 publications · 113 citations
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