BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

244 related articles for article (PubMed ID: 34198399)

  • 1. Multi-feature gait recognition with DNN based on sEMG signals.
    Yao T; Gao F; Zhang Q; Ma Y
    Math Biosci Eng; 2021 Apr; 18(4):3521-3542. PubMed ID: 34198399
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Human Gait Recognition Based on Multiple Feature Combination and Parameter Optimization Algorithms.
    Gao F; Tian T; Yao T; Zhang Q
    Comput Intell Neurosci; 2021; 2021():6693206. PubMed ID: 33727913
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Impact of Load Style Variation on Gait Recognition Based on sEMG Images Using a Convolutional Neural Network.
    Zhang X; Hu Y; Luo R; Li C; Tang Z
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960457
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Feature Extraction of Surface Electromyography Using Wavelet Weighted Permutation Entropy for Hand Movement Recognition.
    Liu X; Xi X; Hua X; Wang H; Zhang W
    J Healthc Eng; 2020; 2020():8824194. PubMed ID: 33299536
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Towards Integration of Domain Knowledge-Guided Feature Engineering and Deep Feature Learning in Surface Electromyography-Based Hand Movement Recognition.
    Wei W; Hu X; Liu H; Zhou M; Song Y
    Comput Intell Neurosci; 2021; 2021():4454648. PubMed ID: 35003244
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Recurrent Neural Network as Estimator for a Virtual sEMG Channel.
    Machado JC; Cene VH; Balbinot A
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3620-3623. PubMed ID: 31946660
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Feature fusion of electrocardiogram and surface electromyography for estimating the fatigue states during lower limb rehabilitation].
    Yuan Y; Cao D; Li C; Liu C
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Dec; 37(6):1056-1064. PubMed ID: 33369345
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of a feature selection based pattern recognition scheme for finger movement recognition from multichannel EMG signals.
    Purushothaman G; Vikas R
    Australas Phys Eng Sci Med; 2018 Jun; 41(2):549-559. PubMed ID: 29744809
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A two-dimensional matrix image based feature extraction method for classification of sEMG: A comparative analysis based on SVM, KNN and RBF-NN.
    Wen T; Zhang Z; Qiu M; Zeng M; Luo W
    J Xray Sci Technol; 2017; 25(2):287-300. PubMed ID: 28269818
    [TBL] [Abstract][Full Text] [Related]  

  • 10. SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine.
    Shi J; Cai Y; Zhu J; Zhong J; Wang F
    Med Biol Eng Comput; 2013 Apr; 51(4):417-27. PubMed ID: 23224795
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors.
    Xi X; Tang M; Miran SM; Luo Z
    Sensors (Basel); 2017 May; 17(6):. PubMed ID: 28555016
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Stream Convolutional Neural Network-Based Wearable, Flexible Bionic Gesture Surface Muscle Feature Extraction and Recognition.
    Liu W; Lu B
    Front Bioeng Biotechnol; 2022; 10():833793. PubMed ID: 35310001
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Gesture Recognition by Ensemble Extreme Learning Machine Based on Surface Electromyography Signals.
    Peng F; Chen C; Lv D; Zhang N; Wang X; Zhang X; Wang Z
    Front Hum Neurosci; 2022; 16():911204. PubMed ID: 35782048
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition.
    Peng X; Zhou X; Zhu H; Ke Z; Pan C
    PLoS One; 2022; 17(11):e0276436. PubMed ID: 36342906
    [TBL] [Abstract][Full Text] [Related]  

  • 15. sEMG-angle estimation using feature engineering techniques for least square support vector machine.
    Gao Y; Luo Y; Zhao J; Li Q
    Technol Health Care; 2019; 27(S1):31-46. PubMed ID: 31045525
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Features extraction and multi-classification of sEMG using a GPU-Accelerated GA/MLP hybrid algorithm.
    Luo W; Zhang Z; Wen T; Li C; Luo Z
    J Xray Sci Technol; 2017; 25(2):273-286. PubMed ID: 28269817
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Continuous online prediction of lower limb joints angles based on sEMG signals by deep learning approach.
    Song Q; Ma X; Liu Y
    Comput Biol Med; 2023 Sep; 163():107124. PubMed ID: 37315381
    [TBL] [Abstract][Full Text] [Related]  

  • 18. sEMG Based Gait Phase Recognition for Children with Spastic Cerebral Palsy.
    Wei PN; Xie R; Tang R; Li C; Kim J; Wu M
    Ann Biomed Eng; 2019 Jan; 47(1):223-230. PubMed ID: 30218222
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning approach to improve the recognition of hand gesture with multi force variation using electromyography signal from amputees.
    Triwiyanto T; Pawana IPA; Caesarendra W
    Med Eng Phys; 2024 Mar; 125():104131. PubMed ID: 38508805
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SEMG Feature Extraction Based on StockwellTransform Improves Hand MovementRecognition Accuracy.
    She H; Zhu J; Tian Y; Wang Y; Yokoi H; Huang Q
    Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31615162
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.