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 *

165 related articles for article (PubMed ID: 31824250)

  • 1. sEMG-Based Trunk Compensation Detection in Rehabilitation Training.
    Ma K; Chen Y; Zhang X; Zheng H; Yu S; Cai S; Xie L
    Front Neurosci; 2019; 13():1250. PubMed ID: 31824250
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic Detection of Compensation During Robotic Stroke Rehabilitation Therapy.
    Zhi YX; Lukasik M; Li MH; Dolatabadi E; Wang RH; Taati B
    IEEE J Transl Eng Health Med; 2018; 6():2100107. PubMed ID: 29404226
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms.
    Cai S; Li G; Zhang X; Huang S; Zheng H; Ma K; Xie L
    J Neuroeng Rehabil; 2019 Nov; 16(1):131. PubMed ID: 31684970
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Real-Time Detection of Compensatory Patterns in Patients With Stroke to Reduce Compensation During Robotic Rehabilitation Therapy.
    Cai S; Li G; Su E; Wei X; Huang S; Ma K; Zheng H; Xie L
    IEEE J Biomed Health Inform; 2020 Sep; 24(9):2630-2638. PubMed ID: 31902785
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SVM-Based Classification of sEMG Signals for Upper-Limb Self-Rehabilitation Training.
    Cai S; Chen Y; Huang S; Wu Y; Zheng H; Li X; Xie L
    Front Neurorobot; 2019; 13():31. PubMed ID: 31214010
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Machine Learning-based Surface Electromyography Topography Evaluation for Prognostic Prediction of Functional Restoration Rehabilitation in Chronic Low Back Pain.
    Jiang N; Luk KD; Hu Y
    Spine (Phila Pa 1976); 2017 Nov; 42(21):1635-1642. PubMed ID: 28338573
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Data-Driven Investigation on Surface Electromyography Based Clinical Assessment in Chronic Stroke.
    Ye F; Yang B; Nam C; Xie Y; Chen F; Hu X
    Front Neurorobot; 2021; 15():648855. PubMed ID: 34335219
    [No Abstract]   [Full Text] [Related]  

  • 8. Online compensation detecting for real-time reduction of compensatory motions during reaching: a pilot study with stroke survivors.
    Cai S; Wei X; Su E; Wu W; Zheng H; Xie L
    J Neuroeng Rehabil; 2020 Apr; 17(1):58. PubMed ID: 32345335
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms.
    Jiang Y; Chen C; Zhang X; Chen C; Zhou Y; Ni G; Muh S; Lemos S
    Comput Methods Programs Biomed; 2020 Dec; 197():105721. PubMed ID: 32882593
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Upper Limb Movement Classification Via Electromyographic Signals and an Enhanced Probabilistic Network.
    Burns A; Adeli H; Buford JA
    J Med Syst; 2020 Aug; 44(10):176. PubMed ID: 32829419
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of sEMG-Based Feature Extraction and Motion Classification Methods for Upper-Limb Movement.
    Guo S; Pang M; Gao B; Hirata H; Ishihara H
    Sensors (Basel); 2015 Apr; 15(4):9022-38. PubMed ID: 25894941
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Two ways to improve myoelectric control for a transhumeral amputee after targeted muscle reinnervation: a case study.
    Xu Y; Zhang D; Wang Y; Feng J; Xu W
    J Neuroeng Rehabil; 2018 May; 15(1):37. PubMed ID: 29747672
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Compensatory movement detection by using near-infrared spectroscopy technology based on signal improvement method.
    Chen X; Shao Y; Zou L; Tang S; Lai Z; Sun X; Xie F; Xie L; Luo J; Hu D
    Front Neurosci; 2023; 17():1153252. PubMed ID: 37234262
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees.
    Li X; Samuel OW; Zhang X; Wang H; Fang P; Li G
    J Neuroeng Rehabil; 2017 Jan; 14(1):2. PubMed ID: 28061779
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Human Posture Detection Method Based on Wearable Devices.
    Li X; Zhou Z; Wu J; Xiong Y
    J Healthc Eng; 2021; 2021():8879061. PubMed ID: 33833862
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Pilot Study on the Performance of Time-Domain Features in Speech Recognition based on high-density sEMG.
    Wang X; Zhu M; Samuel OW; Yang Z; Lu L; Cai X; Wang X; Chen S; Li G
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():19-22. PubMed ID: 34891229
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [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]  

  • 19. Upper-limb functional assessment after stroke using mirror contraction: A pilot study.
    Zhou Y; Zeng J; Jiang H; Li Y; Jia J; Liu H
    Artif Intell Med; 2020 Jun; 106():101877. PubMed ID: 32593396
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Research on exercise fatigue estimation method of Pilates rehabilitation based on ECG and sEMG feature fusion.
    Li D; Chen C
    BMC Med Inform Decis Mak; 2022 Mar; 22(1):67. PubMed ID: 35303877
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.