 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 |
|---|
| 1994 | 1 | 0 | 1 | | 1996 | 1 | 1 | 2 | | 1997 | 0 | 1 | 1 | | 1998 | 0 | 1 | 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 | 1 | 3 | 4 | | 2012 | 2 | 4 | 6 | | 2013 | 2 | 2 | 4 | | 2014 | 1 | 14 | 15 | | 2015 | 4 | 3 | 7 | | 2016 | 6 | 3 | 9 | | 2017 | 2 | 7 | 9 | | 2018 | 0 | 1 | 1 | | 2019 | 2 | 3 | 5 | | 2020 | 1 | 0 | 1 | | 2021 | 0 | 2 | 2 | | 2022 | 2 | 0 | 2 | | 2023 | 0 | 1 | 1 |
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Below are the most recent publications written about "Signal Processing, Computer-Assisted" by people in Profiles.
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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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Zanotelli T, Antunes F, Simpson DM, Mazoni Andrade Mar?al Mendes E, Felix LB. Faster automatic ASSR detection using sequential tests. Int J Audiol. 2020 08; 59(8):631-639.
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Wang PK, Pun SH, Chen CH, McCullagh EA, Klug A, Li A, Vai MI, Mak PU, Lei TC. Low-latency single channel real-time neural spike sorting system based on template matching. PLoS One. 2019; 14(11):e0225138.
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Hagler DJ, Hatton S, Cornejo MD, Makowski C, Fair DA, Dick AS, Sutherland MT, Casey BJ, Barch DM, Harms MP, Watts R, Bjork JM, Garavan HP, Hilmer L, Pung CJ, Sicat CS, Kuperman J, Bartsch H, Xue F, Heitzeg MM, Laird AR, Trinh TT, Gonzalez R, Tapert SF, Riedel MC, Squeglia LM, Hyde LW, Rosenberg MD, Earl EA, Howlett KD, Baker FC, Soules M, Diaz J, de Leon OR, Thompson WK, Neale MC, Herting M, Sowell ER, Alvarez RP, Hawes SW, Sanchez M, Bodurka J, Breslin FJ, Morris AS, Paulus MP, Simmons WK, Polimeni JR, van der Kouwe A, Nencka AS, Gray KM, Pierpaoli C, Matochik JA, Noronha A, Aklin WM, Conway K, Glantz M, Hoffman E, Little R, Lopez M, Pariyadath V, Weiss SR, Wolff-Hughes DL, DelCarmen-Wiggins R, Feldstein Ewing SW, Miranda-Dominguez O, Nagel BJ, Perrone AJ, Sturgeon DT, Goldstone A, Pfefferbaum A, Pohl KM, Prouty D, Uban K, Bookheimer SY, Dapretto M, Galvan A, Bagot K, Giedd J, Infante MA, Jacobus J, Patrick K, Shilling PD, Desikan R, Li Y, Sugrue L, Banich MT, Friedman N, Hewitt JK, Hopfer C, Sakai J, Tanabe J, Cottler LB, Nixon SJ, Chang L, Cloak C, Ernst T, Reeves G, Kennedy DN, Heeringa S, Peltier S, Schulenberg J, Sripada C, Zucker RA, Iacono WG, Luciana M, Calabro FJ, Clark DB, Lewis DA, Luna B, Schirda C, Brima T, Foxe JJ, Freedman EG, Mruzek DW, Mason MJ, Huber R, McGlade E, Prescot A, Renshaw PF, Yurgelun-Todd DA, Allgaier NA, Dumas JA, Ivanova M, Potter A, Florsheim P, Larson C, Lisdahl K, Charness ME, Fuemmeler B, Hettema JM, Maes HH, Steinberg J, Anokhin AP, Glaser P, Heath AC, Madden PA, Baskin-Sommers A, Constable RT, Grant SJ, Dowling GJ, Brown SA, Jernigan TL, Dale AM. Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. Neuroimage. 2019 11 15; 202:116091.
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Mohammadi Z, Kincaid JM, Pun SH, Klug A, Liu C, Lei TC. Computationally inexpensive enhanced growing neural gas algorithm for real-time adaptive neural spike clustering. J Neural Eng. 2019 07 30; 16(5):056007.
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