These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 24691930)

  • 1. Optimal selection of mother wavelet for accurate infant cry classification.
    Saraswathy J; Hariharan M; Nadarajaw T; Khairunizam W; Yaacob S
    Australas Phys Eng Sci Med; 2014 Jun; 37(2):439-56. PubMed ID: 24691930
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification.
    Hariharan M; Sindhu R; Vijean V; Yazid H; Nadarajaw T; Yaacob S; Polat K
    Comput Methods Programs Biomed; 2018 Mar; 155():39-51. PubMed ID: 29512503
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network.
    Hariharan M; Sindhu R; Yaacob S
    Comput Methods Programs Biomed; 2012 Nov; 108(2):559-69. PubMed ID: 21824676
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Expiratory and Inspiratory Cries Detection Using Different Signals' Decomposition Techniques.
    Abou-Abbas L; Tadj C; Gargour C; Montazeri L
    J Voice; 2017 Mar; 31(2):259.e13-259.e28. PubMed ID: 27567394
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Entropy-based feature extraction technique in conjunction with wavelet packet transform for multi-mental task classification.
    Uyulan C; Ergüzel TT; Tarhan N
    Biomed Tech (Berl); 2019 Sep; 64(5):529-542. PubMed ID: 30849042
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Epileptic EEG signal classification based on wavelet packet transform and multivariate multiscale entropy].
    Xu Y; Li X; Zhao Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Oct; 30(5):1073-8, 1090. PubMed ID: 24459973
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of sleep stages using multi-wavelet time frequency entropy and LDA.
    Fraiwan L; Lweesy K; Khasawneh N; Fraiwan M; Wenz H; Dickhaus H
    Methods Inf Med; 2010; 49(3):230-7. PubMed ID: 20091018
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Neural network and wavelet average framing percentage energy for atrial fibrillation classification.
    Daqrouq K; Alkhateeb A; Ajour MN; Morfeq A
    Comput Methods Programs Biomed; 2014 Mar; 113(3):919-26. PubMed ID: 24503178
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition-based radiomic features.
    Soufi M; Arimura H; Nagami N
    Med Phys; 2018 Nov; 45(11):5116-5128. PubMed ID: 30230556
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimal selection of wavelet-packet-based features using genetic algorithm in pathological assessment of patients' speech signal with unilateral vocal fold paralysis.
    Behroozmand R; Almasganj F
    Comput Biol Med; 2007 Apr; 37(4):474-85. PubMed ID: 17034780
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A high-performance seizure detection algorithm based on Discrete Wavelet Transform (DWT) and EEG.
    Chen D; Wan S; Xiang J; Bao FS
    PLoS One; 2017; 12(3):e0173138. PubMed ID: 28278203
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Appearance and characterization of fruit image textures for quality sorting using wavelet transform and genetic algorithms.
    Khoje S
    J Texture Stud; 2018 Feb; 49(1):65-83. PubMed ID: 28737267
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Blood cell recognition based on wavelet packet analysis and the neural network].
    Jia DD; Li H
    Zhongguo Yi Liao Qi Xie Za Zhi; 2008 Jul; 32(4):239-41, 252. PubMed ID: 18973029
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Empirical Wavelet Transform Based Features for Classification of Parkinson's Disease Severity.
    Oung QW; Muthusamy H; Basah SN; Lee H; Vijean V
    J Med Syst; 2017 Dec; 42(2):29. PubMed ID: 29288342
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A signal invariant wavelet function selection algorithm.
    Garg G
    Med Biol Eng Comput; 2016 Apr; 54(4):629-42. PubMed ID: 26253283
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of Pattern Recognition Techniques to the Classification of Full-Term and Preterm Infant Cry.
    Orlandi S; Reyes Garcia CA; Bandini A; Donzelli G; Manfredi C
    J Voice; 2016 Nov; 30(6):656-663. PubMed ID: 26474712
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EEG signals classification of epileptic patients via feature selection and voting criteria in intelligent method.
    Ghaffari A; Ebrahimi Orimi H
    J Med Eng Technol; 2014 Apr; 38(3):146-55. PubMed ID: 24579561
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Appropriate Mother Wavelets for Continuous Gait Event Detection Based on Time-Frequency Analysis for Hemiplegic and Healthy Individuals.
    Ji N; Zhou H; Guo K; Samuel OW; Huang Z; Xu L; Li G
    Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31398903
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Decoding objects of basic categories from electroencephalographic signals using wavelet transform and support vector machines.
    Taghizadeh-Sarabi M; Daliri MR; Niksirat KS
    Brain Topogr; 2015 Jan; 28(1):33-46. PubMed ID: 24838816
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of infant cry through weighted linear prediction cepstral coefficients and Probabilistic Neural Network.
    Hariharan M; Chee LS; Yaacob S
    J Med Syst; 2012 Jun; 36(3):1309-15. PubMed ID: 20844933
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.