Motion Artifact Modeling
Motion Artifact Modeling is a computational framework that characterizes and compensates for distortions in biomedical signals caused by physical movement, distinguishing itself from other signal processing models by specifically addressing motion-induced noise as the primary source of signal degradation.
86
Publications
4.4K
Citations
404
Authors
157
Institutions
Publications per year
2017–2026
29
Parents
86
1–5 of 86
404
3
h-index
University of California San Diego Medical Center, United States
3 publications · 96 citations
3
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2
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2
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2
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1–5 of 404
157
Philips (Netherlands)
Amsterdam, The Netherlands
4 h-index
8 publications
192 citations

Washington University in St. Louis
St Louis, United States
3 h-index
14 publications
378 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
6 publications
298 citations
University of Oxford
Oxford, United Kingdom
2 h-index
8 publications
1.8K citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
121 citations

Johns Hopkins Medicine
Baltimore, United States
2 h-index
3 publications
121 citations
Harvard University
Cambridge, United States
2 h-index
9 publications
345 citations
University of California, San Francisco
San Francisco, United States
2 h-index
8 publications
135 citations
1–8 of 157
7 publications · 163 citations
7
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MRM · 5 publications · 267 citations
5
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5 publications · 883 citations
5
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4 publications · 107 citations
4
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3 publications · 77 citations
3
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