BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 31536027)

  • 61. User-Independent Recognition of Sports Activities From a Single Wrist-Worn Accelerometer: A Template-Matching-Based Approach.
    Margarito J; Helaoui R; Bianchi AM; Sartor F; Bonomi AG
    IEEE Trans Biomed Eng; 2016 Apr; 63(4):788-96. PubMed ID: 26302509
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Improved 3D-ResNet sign language recognition algorithm with enhanced hand features.
    Wang S; Wang K; Yang T; Li Y; Fan D
    Sci Rep; 2022 Oct; 12(1):17812. PubMed ID: 36280693
    [TBL] [Abstract][Full Text] [Related]  

  • 63. Evaluation of surface EMG features for the recognition of American Sign Language gestures.
    Kosmidou VE; Hadjileontiadis LJ; Panas SM
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():6197-200. PubMed ID: 17946747
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Smartwatch User Interface Implementation Using CNN-Based Gesture Pattern Recognition.
    Kwon MC; Park G; Choi S
    Sensors (Basel); 2018 Sep; 18(9):. PubMed ID: 30205509
    [TBL] [Abstract][Full Text] [Related]  

  • 65. putEMG-A Surface Electromyography Hand Gesture Recognition Dataset.
    Kaczmarek P; Mańkowski T; Tomczyński J
    Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31416251
    [TBL] [Abstract][Full Text] [Related]  

  • 66. 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]  

  • 67. 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]  

  • 68. Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep Learning.
    Chamberland F; Buteau E; Tam S; Campbell E; Mortazavi A; Scheme E; Fortier P; Boukadoum M; Campeau-Lecours A; Gosselin B
    IEEE Trans Biomed Circuits Syst; 2023 Oct; 17(5):968-984. PubMed ID: 37695958
    [TBL] [Abstract][Full Text] [Related]  

  • 69. Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements.
    Zhong T; Li D; Wang J; Xu J; An Z; Zhu Y
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450825
    [TBL] [Abstract][Full Text] [Related]  

  • 70. Hand motion recognition based on forearm deformation measured with a distance sensor array.
    Sung-Gwi Cho ; Yoshikawa M; Baba K; Ogawa K; Takamatsu J; Ogasawara T
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4955-4958. PubMed ID: 28269380
    [TBL] [Abstract][Full Text] [Related]  

  • 71. Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization.
    Biagetti G; Crippa P; Falaschetti L; Turchetti C
    Sensors (Basel); 2018 Aug; 18(9):. PubMed ID: 30158443
    [TBL] [Abstract][Full Text] [Related]  

  • 72. Gesture recognition by instantaneous surface EMG images.
    Geng W; Du Y; Jin W; Wei W; Hu Y; Li J
    Sci Rep; 2016 Nov; 6():36571. PubMed ID: 27845347
    [TBL] [Abstract][Full Text] [Related]  

  • 73. Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing.
    Benatti S; Montagna F; Kartsch V; Rahimi A; Rossi D; Benini L
    IEEE Trans Biomed Circuits Syst; 2019 Jun; 13(3):516-528. PubMed ID: 31056519
    [TBL] [Abstract][Full Text] [Related]  

  • 74. A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition.
    Hu Y; Wong Y; Wei W; Du Y; Kankanhalli M; Geng W
    PLoS One; 2018; 13(10):e0206049. PubMed ID: 30376567
    [TBL] [Abstract][Full Text] [Related]  

  • 75. An sEMG-Controlled 3D Game for Rehabilitation Therapies: Real-Time Time Hand Gesture Recognition Using Deep Learning Techniques.
    Nasri N; Orts-Escolano S; Cazorla M
    Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33198083
    [TBL] [Abstract][Full Text] [Related]  

  • 76. Comparative Analysis of Wearable A-Mode Ultrasound and sEMG for Muscle-Computer Interface.
    Yang X; Yan J; Liu H
    IEEE Trans Biomed Eng; 2020 Sep; 67(9):2434-2442. PubMed ID: 31899410
    [TBL] [Abstract][Full Text] [Related]  

  • 77. A new variant of deep belief network assisted with optimal feature selection for heart disease diagnosis using IoT wearable medical devices.
    Aliyar Vellameeran F; Brindha T
    Comput Methods Biomech Biomed Engin; 2022 Mar; 25(4):387-411. PubMed ID: 34311642
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Feature Fusion-Based Improved Capsule Network for sEMG Signal Recognition.
    Wang W; You W; Wang Z; Zhao Y; Wei S
    Comput Intell Neurosci; 2022; 2022():7603319. PubMed ID: 35096047
    [TBL] [Abstract][Full Text] [Related]  

  • 79. [Research on finger key-press gesture recognition based on surface electromyographic signals].
    Cheng J; Chen X; Lu Z; Zhang X; Zhao Z
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Apr; 28(2):352-6, 370. PubMed ID: 21604501
    [TBL] [Abstract][Full Text] [Related]  

  • 80. A Fully Embedded Adaptive Real-Time Hand Gesture Classifier Leveraging HD-sEMG and Deep Learning.
    Tam S; Boukadoum M; Campeau-Lecours A; Gosselin B
    IEEE Trans Biomed Circuits Syst; 2020 Apr; 14(2):232-243. PubMed ID: 31765319
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.