285 related articles for article (PubMed ID: 22296869)
1. 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]
2. 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]
3. 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]
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. [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]
6. 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]
7. 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]
8. 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]
9. Estimation of independent and dependent components of non-invasive EMG using fast ICA: validation in recognising complex gestures.
Naik GR; Kumar DK
Comput Methods Biomech Biomed Engin; 2011 Dec; 14(12):1105-11. PubMed ID: 21476156
[TBL] [Abstract][Full Text] [Related]
10. 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]
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. Surface electromyogram analysis of the direction of isometric torque generation by the first dorsal interosseous muscle.
Zhou P; Suresh NL; Rymer WZ
J Neural Eng; 2011 Jun; 8(3):036028. PubMed ID: 21566274
[TBL] [Abstract][Full Text] [Related]
13. Identification of contaminant type in surface electromyography (EMG) signals.
McCool P; Fraser GD; Chan AD; Petropoulakis L; Soraghan JJ
IEEE Trans Neural Syst Rehabil Eng; 2014 Jul; 22(4):774-83. PubMed ID: 24760926
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Independent component analysis of high-density electromyography in muscle force estimation.
Staudenmann D; Daffertshofer A; Kingma I; Stegeman DF; van Dieën JH
IEEE Trans Biomed Eng; 2007 Apr; 54(4):751-4. PubMed ID: 17405383
[TBL] [Abstract][Full Text] [Related]
16. ECG artifact cancellation in surface EMG signals by fractional order calculus application.
Miljković N; Popović N; Djordjević O; Konstantinović L; Šekara TB
Comput Methods Programs Biomed; 2017 Mar; 140():259-264. PubMed ID: 28254082
[TBL] [Abstract][Full Text] [Related]
17. Analysis and classification of compressed EMG signals by wavelet transform via alternative neural networks algorithms.
Ozsert M; Yavuz O; Durak-Ata L
Comput Methods Biomech Biomed Engin; 2011 Jun; 14(6):521-5. PubMed ID: 20645198
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Reducing electrocardiographic artifacts from electromyogram signals with independent component analysis.
Costa Junior JD; Ferreira DD; Nadal J; Miranda de Sa AL
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4598-601. PubMed ID: 21096226
[TBL] [Abstract][Full Text] [Related]
20. Investigation of optimum electrode locations by using an automatized surface electromyography analysis technique.
Nishihara K; Kawai H; Gomi T; Terajima M; Chiba Y
IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):636-42. PubMed ID: 18269999
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
