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 *

132 related articles for article (PubMed ID: 34892539)

  • 1. Rejecting Impulse Artifacts from Surface EMG Signals using Real-time Cumulative Histogram Filtering.
    Yeon SH; Herr HM
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6235-6241. PubMed ID: 34892539
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of Empirical Mode Decomposition Combined With Notch Filtering for Interpretation of Surface Electromyograms During Functional Electrical Stimulation.
    Pilkar R; Yarossi M; Ramanujam A; Rajagopalan V; Bayram MB; Mitchell M; Canton S; Forrest G
    IEEE Trans Neural Syst Rehabil Eng; 2017 Aug; 25(8):1268-1277. PubMed ID: 27834646
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Filtering the surface EMG signal: Movement artifact and baseline noise contamination.
    De Luca CJ; Gilmore LD; Kuznetsov M; Roy SH
    J Biomech; 2010 May; 43(8):1573-9. PubMed ID: 20206934
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adaptive filtering for ECG rejection from surface EMG recordings.
    Marque C; Bisch C; Dantas R; Elayoubi S; Brosse V; Pérot C
    J Electromyogr Kinesiol; 2005 Jun; 15(3):310-5. PubMed ID: 15763678
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Stimulus Artifact Removal Technique for SEMG Signal Processing During Functional Electrical Stimulation.
    Qiu S; Feng J; Xu R; Xu J; Wang K; He F; Qi H; Zhao X; Zhou P; Zhang L; Ming D
    IEEE Trans Biomed Eng; 2015 Aug; 62(8):1959-68. PubMed ID: 25730823
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Application of independent component analysis to ECG cancellation in surface electromyography measurement].
    Cao Y; Chen C; Hu Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2005 Aug; 22(4):686-9. PubMed ID: 16156250
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An automatic, adaptive, information-based algorithm for the extraction of the sEMG envelope.
    Ranaldi S; De Marchis C; Conforto S
    J Electromyogr Kinesiol; 2018 Oct; 42():1-9. PubMed ID: 29909356
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Denoising of HD-sEMG signals using canonical correlation analysis.
    Al Harrach M; Boudaoud S; Hassan M; Ayachi FS; Gamet D; Grosset JF; Marin F
    Med Biol Eng Comput; 2017 Mar; 55(3):375-388. PubMed ID: 27221811
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Masked least-squares averaging in processing of scanning-EMG recordings with multiple discharges.
    Corera Í; Malanda A; Rodríguez-Falces J; Navallas J
    Med Biol Eng Comput; 2020 Dec; 58(12):3063-3073. PubMed ID: 33128161
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A smart approach to EMG envelope extraction and powerful denoising for human-machine interfaces.
    Esposito D; Centracchio J; Bifulco P; Andreozzi E
    Sci Rep; 2023 May; 13(1):7768. PubMed ID: 37173364
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel algorithm for removing artifacts from EEG data.
    Li Y; Wang PT; Vaidya MP; Charles Liu Y; Slutzky MW; Do AH
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():6014-6017. PubMed ID: 30441707
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Surface electromyography as a tool to assess the responses of car passengers to lateral accelerations: Part I. Extraction of relevant muscular activities from noisy recordings.
    Farah G; Hewson DJ; Duchêne J
    J Electromyogr Kinesiol; 2006 Dec; 16(6):669-76. PubMed ID: 16458024
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings.
    Corera Í; Eciolaza A; Rubio O; Malanda A; Rodríguez-Falces J; Navallas J
    Med Biol Eng Comput; 2018 Aug; 56(8):1391-1402. PubMed ID: 29327334
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Removing ECG noise from surface EMG signals using adaptive filtering.
    Lu G; Brittain JS; Holland P; Yianni J; Green AL; Stein JF; Aziz TZ; Wang S
    Neurosci Lett; 2009 Oct; 462(1):14-9. PubMed ID: 19559751
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Filtering and thresholding the analytic signal envelope in order to improve peak and spike noise reduction in EEG signals.
    Melia U; Clariá F; Vallverdú M; Caminal P
    Med Eng Phys; 2014 Apr; 36(4):547-53. PubMed ID: 24365255
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An optimized method for tremor detection and temporal tracking through repeated second order moment calculations on the surface EMG signal.
    De Marchis C; Schmid M; Conforto S
    Med Eng Phys; 2012 Nov; 34(9):1268-77. PubMed ID: 22257701
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An automated ECG-artifact removal method for trunk muscle surface EMG recordings.
    Mak JN; Hu Y; Luk KD
    Med Eng Phys; 2010 Oct; 32(8):840-8. PubMed ID: 20561810
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Removal of ECG Artifacts Affects Respiratory Muscle Fatigue Detection-A Simulation Study.
    Kahl L; Hofmann UG
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451104
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rectification of SEMG as a tool to demonstrate synchronous motor unit activity during vibration.
    Sebik O; Karacan I; Cidem M; Türker KS
    J Electromyogr Kinesiol; 2013 Apr; 23(2):275-84. PubMed ID: 23098913
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.