global optimization toolbox n a krill herd algorithm kha Search Results


statistics toolbox n a  (MathWorks Inc)
96
MathWorks Inc statistics toolbox n a
Statistics Toolbox N A, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/global+optimization+toolbox+n+a+krill+herd+algorithm+kha/pm27720452-645-149-153?v=MathWorks+Inc
Average 96 stars, based on 1 article reviews
statistics toolbox n a - by Bioz Stars, 2026-08
96/100 stars
  Buy from Supplier
global optimization toolbox n a krill herd algorithm kha  (MathWorks Inc)
97
MathWorks Inc global optimization toolbox n a krill herd algorithm kha
Global Optimization Toolbox N A Krill Herd Algorithm Kha, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/global+optimization+toolbox+n+a+krill+herd+algorithm+kha/10__1016_slash_j__isci__2026__115268-451-17-40?v=MathWorks+Inc
Average 97 stars, based on 1 article reviews
global optimization toolbox n a krill herd algorithm kha - by Bioz Stars, 2026-08
97/100 stars
  Buy from Supplier
matlab toolbox n a sjöstrand  (MathWorks Inc)
96
MathWorks Inc matlab toolbox n a sjöstrand
Matlab Toolbox N A Sjöstrand, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/global+optimization+toolbox+n+a+krill+herd+algorithm+kha/pm40043699-579-49-49?v=MathWorks+Inc
Average 96 stars, based on 1 article reviews
matlab toolbox n a sjöstrand - by Bioz Stars, 2026-08
96/100 stars
  Buy from Supplier
holter ecg thew automated signal processing toolbox  (MathWorks Inc)
98
MathWorks Inc holter ecg thew automated signal processing toolbox
Subject characteristics, inclusion, and exclusion criteria.
Holter Ecg Thew Automated Signal Processing Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/global+optimization+toolbox+n+a+krill+herd+algorithm+kha/pmc09833360-22-8-15?v=MathWorks+Inc
Average 98 stars, based on 1 article reviews
holter ecg thew automated signal processing toolbox - by Bioz Stars, 2026-08
98/100 stars
  Buy from Supplier
version 2 6 1 0  (Matrix Science)
86
Matrix Science version 2 6 1 0
Subject characteristics, inclusion, and exclusion criteria.
Version 2 6 1 0, supplied by Matrix Science, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/global+optimization+toolbox+n+a+krill+herd+algorithm+kha/pm37291828-402-6-8?v=Matrix+Science
Average 86 stars, based on 1 article reviews
version 2 6 1 0 - by Bioz Stars, 2026-08
86/100 stars
  Buy from Supplier
example matlab fuzzy logic toolboxa  (MathWorks Inc)
96
MathWorks Inc example matlab fuzzy logic toolboxa
Subject characteristics, inclusion, and exclusion criteria.
Example Matlab Fuzzy Logic Toolboxa, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/global+optimization+toolbox+n+a+krill+herd+algorithm+kha/10__1080_slash_18756891__2013__818190-17-8-9?v=MathWorks+Inc
Average 96 stars, based on 1 article reviews
example matlab fuzzy logic toolboxa - by Bioz Stars, 2026-08
96/100 stars
  Buy from Supplier

Image Search Results


Subject characteristics, inclusion, and exclusion criteria.

Journal: Annals of Noninvasive Electrocardiology

Article Title: The diagnostic role of T wave morphology biomarkers in congenital and acquired long QT syndrome: A systematic review

doi: 10.1111/anec.13015

Figure Lengend Snippet: Subject characteristics, inclusion, and exclusion criteria.

Article Snippet: Immanuel et al. ( ) , N/A , Holter ECG (THEW) Automated signal processing toolbox (MATLAB) , Frequency binned averaged ECGs and TW extraction (lead I) Boltzmann sigmoidal functions (upslope, downslope, switch) 9th order polynomial functions (upslope, downslope) Neural network classifiers Normal QTc subgroup analysis (400–450 ms) , TW parameters: Sigmoidal and polynomial classifiers LQTS subtypes>conventional parameters ( p < .0001) No difference control vs. LQTS ( p = .19) or LQT1 vs. LQT2 Neural network classifiers: Control vs. LQTS: 92% LQT1 vs. LQT2: 88% Normal QTc subgroup analysis: TWM: 90% QTC: 71%.

Techniques: Control, Medications, Mutagenesis, Positive Control, Pregnancy Test (hCG) Assay

Summary of results for acquired long QT syndrome.

Journal: Annals of Noninvasive Electrocardiology

Article Title: The diagnostic role of T wave morphology biomarkers in congenital and acquired long QT syndrome: A systematic review

doi: 10.1111/anec.13015

Figure Lengend Snippet: Summary of results for acquired long QT syndrome.

Article Snippet: Immanuel et al. ( ) , N/A , Holter ECG (THEW) Automated signal processing toolbox (MATLAB) , Frequency binned averaged ECGs and TW extraction (lead I) Boltzmann sigmoidal functions (upslope, downslope, switch) 9th order polynomial functions (upslope, downslope) Neural network classifiers Normal QTc subgroup analysis (400–450 ms) , TW parameters: Sigmoidal and polynomial classifiers LQTS subtypes>conventional parameters ( p < .0001) No difference control vs. LQTS ( p = .19) or LQT1 vs. LQT2 Neural network classifiers: Control vs. LQTS: 92% LQT1 vs. LQT2: 88% Normal QTc subgroup analysis: TWM: 90% QTC: 71%.

Techniques: Diagnostic Assay, Software, Control, Clinical Proteomics, Biomarker Discovery, Plasmid Preparation, Patch Clamp, Blocking Assay, Concentration Assay, Mutagenesis

Selected T wave morphology analysis techniques. (a) ECG time intervals indicating specific T wave parameters, including Tpeak‐Tend interval (ms), T duration (ms), and T amplitude (mV). (bi) Application of sigmoidal classifiers demonstrated using Boltzmann sigmoidal functions: Upslope (red dotted line), downslope (red bold dotted line), and switch (red dashed line), as adapted from Immanuel et al. . (bii) T wave fitting of the repolarizing integral (RI), derived from three Hill parameters: n (red bold slope), V max (red horizontal arrow), K m (red vertical arrow) as adapted from Kanters et al. . (c) T wave features applied by the novel, proprietary T wave program , including T wave area, T wave right and left (mV/s), COG ( x / y ) of T wave; and COG of first and last 25% of T wave (ms) as adapted from Sugrue et al. . (d) T wave architectural patterns

Journal: Annals of Noninvasive Electrocardiology

Article Title: The diagnostic role of T wave morphology biomarkers in congenital and acquired long QT syndrome: A systematic review

doi: 10.1111/anec.13015

Figure Lengend Snippet: Selected T wave morphology analysis techniques. (a) ECG time intervals indicating specific T wave parameters, including Tpeak‐Tend interval (ms), T duration (ms), and T amplitude (mV). (bi) Application of sigmoidal classifiers demonstrated using Boltzmann sigmoidal functions: Upslope (red dotted line), downslope (red bold dotted line), and switch (red dashed line), as adapted from Immanuel et al. . (bii) T wave fitting of the repolarizing integral (RI), derived from three Hill parameters: n (red bold slope), V max (red horizontal arrow), K m (red vertical arrow) as adapted from Kanters et al. . (c) T wave features applied by the novel, proprietary T wave program , including T wave area, T wave right and left (mV/s), COG ( x / y ) of T wave; and COG of first and last 25% of T wave (ms) as adapted from Sugrue et al. . (d) T wave architectural patterns

Article Snippet: Immanuel et al. ( ) , N/A , Holter ECG (THEW) Automated signal processing toolbox (MATLAB) , Frequency binned averaged ECGs and TW extraction (lead I) Boltzmann sigmoidal functions (upslope, downslope, switch) 9th order polynomial functions (upslope, downslope) Neural network classifiers Normal QTc subgroup analysis (400–450 ms) , TW parameters: Sigmoidal and polynomial classifiers LQTS subtypes>conventional parameters ( p < .0001) No difference control vs. LQTS ( p = .19) or LQT1 vs. LQT2 Neural network classifiers: Control vs. LQTS: 92% LQT1 vs. LQT2: 88% Normal QTc subgroup analysis: TWM: 90% QTC: 71%.

Techniques: Derivative Assay