131 related articles for article (PubMed ID: 25464776)
1. [Surface electromyogram denoising using adaptive wavelet thresholding].
Lou Z; Deng Hao ; Chen X; Yao B; Yang J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2014 Aug; 31(4):723-8. PubMed ID: 25464776
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A wavelet based technique for suppression of EMG noise and motion artifact in ambulatory ECG.
Mithun P; Pandey PC; Sebastian T; Mishra P; Pandey VK
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7087-90. PubMed ID: 22255971
[TBL] [Abstract][Full Text] [Related]
4. Surface electromyogram signal estimation based on wavelet thresholding technique.
Khezri M; Jahed M
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4752-5. PubMed ID: 19163778
[TBL] [Abstract][Full Text] [Related]
5. Comparative study of wavelet denoising in myoelectric control applications.
Sharma T; Veer K
J Med Eng Technol; 2016; 40(3):80-6. PubMed ID: 26887581
[TBL] [Abstract][Full Text] [Related]
6. EMG classification using wavelet functions to determine muscle contraction.
Sharma T; Veer K
J Med Eng Technol; 2016; 40(3):99-105. PubMed ID: 26942656
[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. 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. Interscale wavelet maximum-a fine to coarse algorithm for wavelet analysis of the EMG interference pattern.
Arikidis NS; Abel EW; Forster A
IEEE Trans Biomed Eng; 2002 Apr; 49(4):337-44. PubMed ID: 11942725
[TBL] [Abstract][Full Text] [Related]
10. Power line interference filtering on surface electromyography based on the stationary wavelet packet transform.
Galiana-Merino JJ; Ruiz-Fernandez D; Martinez-Espla JJ
Comput Methods Programs Biomed; 2013 Aug; 111(2):338-46. PubMed ID: 23726363
[TBL] [Abstract][Full Text] [Related]
11. Design, development and testing of a low-cost sEMG system and its use in recording muscle activity in human gait.
Supuk TG; Skelin AK; Cic M
Sensors (Basel); 2014 May; 14(5):8235-58. PubMed ID: 24811078
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. ECG denoising using modulus maxima of wavelet transform.
Ayat M; Shamsollahi MB; Mozaffari B; Kharabian S
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():416-9. PubMed ID: 19963460
[TBL] [Abstract][Full Text] [Related]
14. A comparative study of wavelet denoising of surface electromyographic signals.
Jiang CF; Kuo SL
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1868-71. PubMed ID: 18002345
[TBL] [Abstract][Full Text] [Related]
15. Accurate wavelet thresholding method for ECG signals.
Yu K; Feng L; Chen Y; Wu M; Zhang Y; Zhu P; Chen W; Wu Q; Hao J
Comput Biol Med; 2024 Feb; 169():107835. PubMed ID: 38096762
[TBL] [Abstract][Full Text] [Related]
16. Electrocardiogram signal denoising based on a new improved wavelet thresholding.
Han G; Xu Z
Rev Sci Instrum; 2016 Aug; 87(8):084303. PubMed ID: 27587134
[TBL] [Abstract][Full Text] [Related]
17. Compressed sensing system considerations for ECG and EMG wireless biosensors.
Dixon AM; Allstot EG; Gangopadhyay D; Allstot DJ
IEEE Trans Biomed Circuits Syst; 2012 Apr; 6(2):156-66. PubMed ID: 23852980
[TBL] [Abstract][Full Text] [Related]
18. Baseline drift removal and denoising of MCG data using EEMD: role of noise amplitude and the thresholding effect.
Mariyappa N; Sengottuvel S; Parasakthi C; Gireesan K; Janawadkar MP; Radhakrishnan TS; Sundar CS
Med Eng Phys; 2014 Oct; 36(10):1266-76. PubMed ID: 25074650
[TBL] [Abstract][Full Text] [Related]
19. Nonlinear wavelet and wavelet packet denoising of electrocardiogram signal.
Tikkanen PE
Biol Cybern; 1999 Apr; 80(4):259-67. PubMed ID: 10326242
[TBL] [Abstract][Full Text] [Related]
20. Using the discrete wavelet transform for time-frequency analysis of the surface EMG signal.
Constable R; Thornhill RJ
Biomed Sci Instrum; 1993; 29():121-7. PubMed ID: 8329582
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
