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
|
| MeSH Number(s) |
L01.224.800
|
| 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
|
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 | 2 | 3 |
| 1997 | 1 | 0 | 1 |
| 1998 | 2 | 2 | 4 |
| 1999 | 4 | 0 | 4 |
| 2000 | 0 | 1 | 1 |
| 2001 | 0 | 5 | 5 |
| 2002 | 0 | 3 | 3 |
| 2003 | 0 | 4 | 4 |
| 2004 | 3 | 3 | 6 |
| 2005 | 2 | 0 | 2 |
| 2006 | 3 | 4 | 7 |
| 2007 | 4 | 2 | 6 |
| 2008 | 2 | 3 | 5 |
| 2009 | 4 | 5 | 9 |
| 2010 | 3 | 1 | 4 |
| 2011 | 4 | 0 | 4 |
| 2012 | 1 | 1 | 2 |
| 2013 | 1 | 1 | 2 |
| 2014 | 0 | 5 | 5 |
| 2015 | 1 | 6 | 7 |
| 2016 | 1 | 1 | 2 |
| 2017 | 2 | 4 | 6 |
| 2018 | 3 | 3 | 6 |
| 2019 | 2 | 2 | 4 |
| 2020 | 1 | 2 | 3 |
| 2024 | 0 | 1 | 1 |
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click here.
Below are the most recent publications written about "Signal Processing, Computer-Assisted" by people in Profiles.
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Wang Z, Sperling MR, Wyeth D, Guez A. Automated Seizure Detection Based on State-Space Model Identification. Sensors (Basel). 2024 Mar 16; 24(6).
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Ratnagiri MV, Ryan L, Strang A, Heinle R, Rahman T, Shaffer TH. Machine learning for automatic identification of thoracoabdominal asynchrony in children. Pediatr Res. 2021 04; 89(5):1232-1238.
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Frisch D, Oesterlein TG, Unger LA, Lenis G, Wakili R, Schmitt C, Luik A, Dossel O, Loewe A. Mapping and Removing the Ventricular Far Field Component in Unipolar Atrial Electrograms. IEEE Trans Biomed Eng. 2020 10; 67(10):2905-2915.
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Baldassano SN, Roberson SW, Balu R, Scheid B, Bernabei JM, Pathmanathan J, Oommen B, Leri D, Echauz J, Gelfand M, Bhalla PK, Hill CE, Christini A, Wagenaar JB, Litt B. IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit. IEEE J Biomed Health Inform. 2020 08; 24(8):2389-2397.
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Nio AQX, Faraci A, Christensen-Jeffries K, Raymond JL, Monaghan MJ, Fuster D, Forsberg F, Eckersley RJ, Lamata P. Optimal Control of SonoVue Microbubbles to Estimate Hydrostatic Pressure. IEEE Trans Ultrason Ferroelectr Freq Control. 2020 03; 67(3):557-567.
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Bini SA, Shah RF, Bendich I, Patterson JT, Hwang KM, Zaid MB. Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial. J Arthroplasty. 2019 10; 34(10):2242-2247.
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Talebi N, Nasrabadi AM, Mohammad-Rezazadeh I, Coben R. nCREANN: Nonlinear Causal Relationship Estimation by Artificial Neural Network; Applied for Autism Connectivity Study. IEEE Trans Med Imaging. 2019 12; 38(12):2883-2890.
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Tierney J, Walsh K, Griffith H, Baker J, Brown DB, Byram B. Combining Slow Flow Techniques With Adaptive Demodulation for Improved Perfusion Ultrasound Imaging Without Contrast. IEEE Trans Ultrason Ferroelectr Freq Control. 2019 05; 66(5):834-848.
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Gifford AM, Sperling MR, Sharan A, Gorniak RJ, Williams RB, Davis K, Kahana MJ, Cohen YE. Neuronal phase consistency tracks dynamic changes in acoustic spectral regularity. Eur J Neurosci. 2019 05; 49(10):1268-1287.
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Li H, Nikam R, Kandula V, Chow HM, Choudhary AK. Comparison of NODDI and spherical mean signal for measuring intra-neurite volume fraction. Magn Reson Imaging. 2019 04; 57:151-155.