203 related articles for article (PubMed ID: 24894030)
1. Bioelectric signal detrending using smoothness prior approach.
Zhang F; Chen S; Zhang H; Zhang X; Li G
Med Eng Phys; 2014 Aug; 36(8):1007-13. PubMed ID: 24894030
[TBL] [Abstract][Full Text] [Related]
2. Real time ECG artifact removal for myoelectric prosthesis control.
Zhou P; Lock B; Kuiken TA
Physiol Meas; 2007 Apr; 28(4):397-413. PubMed ID: 17395995
[TBL] [Abstract][Full Text] [Related]
3. The interpretation of abdominal wall muscle recruitment strategies change when the electrocardiogram (ECG) is removed from the electromyogram (EMG).
Butler HL; Newell R; Hubley-Kozey CL; Kozey JW
J Electromyogr Kinesiol; 2009 Apr; 19(2):e102-13. PubMed ID: 18055221
[TBL] [Abstract][Full Text] [Related]
4. [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]
5. Elimination of electrocardiogram contamination from electromyogram signals: An evaluation of currently used removal techniques.
Drake JD; Callaghan JP
J Electromyogr Kinesiol; 2006 Apr; 16(2):175-87. PubMed ID: 16139521
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A novel approach for removing ECG interferences from surface EMG signals using a combined ANFIS and wavelet.
Abbaspour S; Fallah A; Lindén M; Gholamhosseini H
J Electromyogr Kinesiol; 2016 Feb; 26():52-9. PubMed ID: 26643795
[TBL] [Abstract][Full Text] [Related]
8. Removal of the electrocardiogram signal from surface EMG recordings using non-linearly scaled wavelets.
von Tscharner V; Eskofier B; Federolf P
J Electromyogr Kinesiol; 2011 Aug; 21(4):683-8. PubMed ID: 21470876
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA.
Abbaspour S; Lindén M; Gholamhosseini H
Stud Health Technol Inform; 2015; 211():91-7. PubMed ID: 25980853
[TBL] [Abstract][Full Text] [Related]
11. A simple method to remove ECG artifacts from trunk muscle EMG signals.
Hof AL
J Electromyogr Kinesiol; 2009 Dec; 19(6):e554-5. PubMed ID: 19121951
[No Abstract] [Full Text] [Related]
12. Removing ECG contamination from EMG recordings: a comparison of ICA-based and other filtering procedures.
Willigenburg NW; Daffertshofer A; Kingma I; van Dieën JH
J Electromyogr Kinesiol; 2012 Jun; 22(3):485-93. PubMed ID: 22296869
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Removal of baseline wandering in ECG signal by improved detrending method.
Shin SW; Kim KS; Song CG; Lee JW; Kim JH; Jeung GW
Biomed Mater Eng; 2015; 26 Suppl 1():S1087-93. PubMed ID: 26405865
[TBL] [Abstract][Full Text] [Related]
15. ECG signal denoising and baseline wander correction based on the empirical mode decomposition.
Blanco-Velasco M; Weng B; Barner KE
Comput Biol Med; 2008 Jan; 38(1):1-13. PubMed ID: 17669389
[TBL] [Abstract][Full Text] [Related]
16. Cancellation of artifacts in ECG signals using block adaptive filtering techniques.
Rahman MZ; Shaik RA; Reddy DV
Adv Exp Med Biol; 2011; 696():505-13. PubMed ID: 21431591
[TBL] [Abstract][Full Text] [Related]
17. ECG signal enhancement using S-Transform.
Ari S; Das MK; Chacko A
Comput Biol Med; 2013 Jul; 43(6):649-60. PubMed ID: 23668340
[TBL] [Abstract][Full Text] [Related]
18. Subspace based adaptive denoising of surface EMG from neurological injury patients.
Liu J; Ying D; Zev Rymer W; Zhou P
J Neural Eng; 2014 Oct; 11(5):056025. PubMed ID: 25242507
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A wavelet-based adaptive filter for removing ECG interference in EMGdi signals.
Zhan C; Yeung LF; Yang Z
J Electromyogr Kinesiol; 2010 Jun; 20(3):542-9. PubMed ID: 19692270
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]