 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 |
|---|
| 1992 | 0 | 1 | 1 | | 1997 | 0 | 1 | 1 | | 1998 | 0 | 1 | 1 | | 1999 | 1 | 0 | 1 | | 2000 | 0 | 1 | 1 | | 2001 | 0 | 1 | 1 | | 2002 | 2 | 1 | 3 | | 2003 | 1 | 0 | 1 | | 2004 | 0 | 4 | 4 | | 2005 | 0 | 3 | 3 | | 2006 | 3 | 2 | 5 | | 2007 | 3 | 2 | 5 | | 2008 | 4 | 4 | 8 | | 2009 | 3 | 2 | 5 | | 2010 | 1 | 3 | 4 | | 2011 | 1 | 3 | 4 | | 2012 | 1 | 2 | 3 | | 2013 | 1 | 2 | 3 | | 2014 | 0 | 13 | 13 | | 2015 | 3 | 1 | 4 | | 2016 | 3 | 1 | 4 | | 2017 | 1 | 5 | 6 | | 2018 | 0 | 1 | 1 | | 2019 | 3 | 2 | 5 |
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Below are the most recent publications written about "Signal Processing, Computer-Assisted" by people in Profiles.
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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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Zhou W, Long Z, Tradup DJ, Stekel SF, Browne JE, Brown DL, Hangiandreou NJ. Ultrasound grayscale image quality comparison between a 2D intracavitary transducer and a 3D intracavitary transducer used in 2D mode: A phantom study. J Appl Clin Med Phys. 2019 Jun; 20(6):134-140.
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Guerrero QW, Feltovich H, Rosado-Mendez IM, Santoso AP, Carlson LC, Zea R, Hall TJ. Quantitative Ultrasound Parameters Based on the Backscattered Echo Power Signal as Biomarkers of Cervical Remodeling: A Longitudinal Study in the Pregnant Rhesus Macaque. Ultrasound Med Biol. 2019 06; 45(6):1466-1474.
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Steele CM, Mukherjee R, Kortelainen JM, Pölönen H, Jedwab M, Brady SL, Theimer KB, Langmore S, Riquelme LF, Swigert NB, Bath PM, Goldstein LB, Hughes RL, Leifer D, Lees KR, Meretoja A, Muehlemann N. Development of a Non-invasive Device for Swallow Screening in Patients at Risk of Oropharyngeal Dysphagia: Results from a Prospective Exploratory Study. Dysphagia. 2019 10; 34(5):698-707.
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Joshi CN, Chapman KE, Bear JJ, Wilson SB, Walleigh DJ, Scheuer ML. Semiautomated Spike Detection Software Persyst 13 Is Noninferior to Human Readers When Calculating the Spike-Wave Index in Electrical Status Epilepticus in Sleep. J Clin Neurophysiol. 2018 Sep; 35(5):370-374.
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Anderson MC, Arehart KH, Souza PE. Survey of Current Practice in the Fitting and Fine-Tuning of Common Signal-Processing Features in Hearing Aids for Adults. J Am Acad Audiol. 2018 02; 29(2):118-124.
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Volpert-Esmond HI, Merkle EC, Levsen MP, Ito TA, Bartholow BD. Using trial-level data and multilevel modeling to investigate within-task change in event-related potentials. Psychophysiology. 2018 05; 55(5):e13044.
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Rosen TE, Lerner MD. Error-related brain activity and anxiety symptoms in youth with autism spectrum disorder. Autism Res. 2018 02; 11(2):342-354.
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