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Journal Abstract Search

152 related items for PubMed ID: 32523505

  • 1. A Novel Quantitative Spasticity Evaluation Method Based on Surface Electromyogram Signals and Adaptive Neuro Fuzzy Inference System.
    Yu S, Chen Y, Cai Q, Ma K, Zheng H, Xie L.
    Front Neurosci; 2020; 14():462. PubMed ID: 32523505
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  • 4. A Regression-Based Framework for Quantitative Assessment of Muscle Spasticity Using Combined EMG and Inertial Data From Wearable Sensors.
    Zhang X, Tang X, Zhu X, Gao X, Chen X, Chen X.
    Front Neurosci; 2019; 13():398. PubMed ID: 31130834
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  • 5. A new EMG-based index towards the assessment of elbow spasticity for post-stroke patients.
    Lei Wang, Xin Guo, Peng Fang, Yue Wei, Samuel OW, Pingao Huang, Yanjuan Geng, Hui Wang, Guanglin Li.
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3640-3643. PubMed ID: 29060687
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  • 7. [Analysis of Correlation between Surface Electromyography and Spasticity after Stroke].
    Xie P, Song Y, Su C, Xu W, Du Y.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Aug; 32(4):795-801. PubMed ID: 26710450
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  • 8. Spasticity measurement based on tonic stretch reflex threshold in stroke using a portable device.
    Calota A, Feldman AG, Levin MF.
    Clin Neurophysiol; 2008 Oct; 119(10):2329-37. PubMed ID: 18762451
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  • 10. Spasticity Measurement Based on the HHT Marginal Spectrum Entropy of sEMG Using a Portable System: A Preliminary Study.
    Hu B, Zhang X, Mu J, Wu M, Zhu Z, Liu Z, Wang Y.
    IEEE Trans Neural Syst Rehabil Eng; 2018 Jul; 26(7):1424-1434. PubMed ID: 29985152
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  • 11. Quantification of grip strength with complexity analysis of surface electromyogram for hemiplegic post-stroke patients.
    Dash A, Dutta A, Lahiri U.
    NeuroRehabilitation; 2019 Jul; 45(1):45-56. PubMed ID: 31403956
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  • 13. Tonic Stretch Reflex Threshold as a Measure of Ankle Plantar-Flexor Spasticity After Stroke.
    Blanchette AK, Mullick AA, Moïn-Darbari K, Levin MF.
    Phys Ther; 2016 May; 96(5):687-95. PubMed ID: 26450971
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  • 14. Activation of elbow extensors during passive stretch of flexors in patients with post-stroke spasticity.
    Levin MF, Solomon JM, Shah A, Blanchette AK, Feldman AG.
    Clin Neurophysiol; 2018 Oct; 129(10):2065-2074. PubMed ID: 30077867
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  • 15. Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.
    Kazemipoor M, Hajifaraji M, Radzi CW, Shamshirband S, Petković D, Mat Kiah ML.
    Comput Methods Programs Biomed; 2015 Jan; 118(1):69-76. PubMed ID: 25453384
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  • 18. Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel.
    Wong YJ, Arumugasamy SK, Chung CH, Selvarajoo A, Sethu V.
    Environ Monit Assess; 2020 Jun 17; 192(7):439. PubMed ID: 32556670
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  • 19. Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm.
    Wang Y, Hong H, Chen W, Li S, Panahi M, Khosravi K, Shirzadi A, Shahabi H, Panahi S, Costache R.
    J Environ Manage; 2019 Oct 01; 247():712-729. PubMed ID: 31279803
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  • 20. Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms.
    Panahi M, Gayen A, Pourghasemi HR, Rezaie F, Lee S.
    Sci Total Environ; 2020 Nov 01; 741():139937. PubMed ID: 32574917
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