 Signal Processing, Computer-Assisted
"Signal Processing, Computer-Assisted" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Computer-assisted processing of electric, ultrasonic, or electronic signals to interpret function and activity.
| Descriptor ID |
D012815
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| MeSH Number(s) |
L01.224.800
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| Concept/Terms |
Signal Interpretation, Computer-Assisted- Signal Interpretation, Computer-Assisted
- Computer-Assisted Signal Interpretation
- Computer-Assisted Signal Interpretations
- Interpretation, Computer-Assisted Signal
- Interpretations, Computer-Assisted Signal
- Signal Interpretation, Computer Assisted
- Signal Interpretations, Computer-Assisted
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Below are MeSH descriptors whose meaning is more general than "Signal Processing, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Signal Processing, Computer-Assisted".
This graph shows the total number of publications written about "Signal Processing, Computer-Assisted" by people in this website by year, and whether "Signal Processing, Computer-Assisted" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 1 | 1 | 2 | | 1997 | 0 | 1 | 1 | | 1998 | 0 | 1 | 1 | | 1999 | 1 | 0 | 1 | | 2000 | 1 | 3 | 4 | | 2002 | 1 | 1 | 2 | | 2003 | 1 | 0 | 1 | | 2004 | 0 | 1 | 1 | | 2005 | 1 | 2 | 3 | | 2006 | 2 | 2 | 4 | | 2007 | 3 | 2 | 5 | | 2008 | 7 | 5 | 12 | | 2009 | 3 | 1 | 4 | | 2010 | 0 | 2 | 2 | | 2011 | 2 | 3 | 5 | | 2012 | 2 | 6 | 8 | | 2013 | 2 | 3 | 5 | | 2014 | 1 | 16 | 17 | | 2015 | 3 | 3 | 6 | | 2016 | 3 | 3 | 6 | | 2017 | 2 | 7 | 9 | | 2018 | 0 | 1 | 1 | | 2019 | 2 | 3 | 5 | | 2020 | 1 | 2 | 3 | | 2021 | 0 | 2 | 2 | | 2022 | 2 | 0 | 2 | | 2023 | 0 | 1 | 1 | | 2024 | 0 | 2 | 2 |
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Below are the most recent publications written about "Signal Processing, Computer-Assisted" by people in Profiles.
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Farina D, Merletti R, Enoka RM. The extraction of neural strategies from the surface EMG: 2004-2024. J Appl Physiol (1985). 2025 Jan 01; 138(1):121-135.
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Mohammadi Z, Denman DJ, Klug A, Lei TC. A fully automatic multichannel neural spike sorting algorithm with spike reduction and positional feature. J Neural Eng. 2024 Aug 05; 21(4).
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Sch?fer M, Mitchell MB, Brateng C, Ivy DD, Hunter KS, Nash DB, von Alvensleben JC. Extraction and Digitization of ECG Signals from Standard Clinical Portable Document Format Files for the Principal Component Analysis of T-wave Morphology. Cardiovasc Eng Technol. 2023 10; 14(5):631-639.
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Mazzotti M, Kohtanen E, Erturk A, Ruzzene M. Optimizing transcranial ultrasound delivery at large incident angles by leveraging cranial leaky guided wave dispersion. Ultrasonics. 2023 Feb; 128:106882.
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Arquilla K, Webb AK, Anderson AP. Utility of the Full ECG Waveform for Stress Classification. Sensors (Basel). 2022 Sep 17; 22(18).
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Al-Ahmad A, Knight B, Tzou W, Schaller R, Yasin O, Padmanabhan D, Zagrodzky J, Bassiouny M, Burkhardt JD, Gallinghouse GJ, Mansour M, McLeod C, Natale A. Evaluation of a novel cardiac signal processing system for electrophysiology procedures: The PURE EP 2.0 study. J Cardiovasc Electrophysiol. 2021 11; 32(11):2915-2922.
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Sharma A, Vidaurre D, Vesper J, Schnitzler A, Florin E. Differential dopaminergic modulation of spontaneous cortico-subthalamic activity in Parkinson's disease. Elife. 2021 06 04; 10.
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Uhler K, Hunter S, Gilley PM. Mismatched response predicts behavioral speech discrimination outcomes in infants with hearing loss and normal hearing. Infancy. 2021 03; 26(2):327-348.
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Cai C, Hashemi A, Diwakar M, Haufe S, Sekihara K, Nagarajan SS. Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm. Neuroimage. 2021 01 15; 225:117411.
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Levitt J, Edhi MM, Thorpe RV, Leung JW, Michishita M, Koyama S, Yoshikawa S, Scarfo KA, Carayannopoulos AG, Gu W, Srivastava KH, Clark BA, Esteller R, Borton DA, Jones SR, Saab CY. Pain phenotypes classified by machine learning using electroencephalography features. Neuroimage. 2020 12; 223:117256.
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