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Items: 1 to 20 of 101

1.

[A Digital Filtering Method for Eliminating DC Offset in Ambulatory ECG Signals].

Chen Y, Kong X, Zhu W.

Zhongguo Yi Liao Qi Xie Za Zhi. 2019 Jul 30;43(4):252-254. doi: 10.3969/j.issn.1671-7104.2019.04.005. Chinese.

PMID:
31460714
2.

Meet the challenge of high-pass filter and ST-segment requirements with a DC-coupled digital electrocardiogram amplifier.

Abächerli R, Schmid HJ.

J Electrocardiol. 2009 Nov-Dec;42(6):574-9. doi: 10.1016/j.jelectrocard.2009.07.012. Epub 2009 Aug 22.

PMID:
19700169
3.

A Discrete Curvature Estimation Based Low-Distortion Adaptive Savitzky⁻Golay Filter for ECG Denoising.

Huang H, Hu S, Sun Y.

Sensors (Basel). 2019 Apr 4;19(7). pii: E1617. doi: 10.3390/s19071617.

4.

Pseudo-real-time low-pass filter in ECG, self-adjustable to the frequency spectra of the waves.

Christov I, Neycheva T, Schmid R, Stoyanov T, Abächerli R.

Med Biol Eng Comput. 2017 Sep;55(9):1579-1588. doi: 10.1007/s11517-017-1625-y. Epub 2017 Feb 4.

PMID:
28161875
5.

Separation of electrocardiographic from electromyographic signals using dynamic filtration.

Christov I, Raikova R, Angelova S.

Med Eng Phys. 2018 Jul;57:1-10. doi: 10.1016/j.medengphy.2018.04.007. Epub 2018 Apr 24.

PMID:
29699890
6.

Tremor suppression in ECG.

Dotsinsky IA, Mihov GS.

Biomed Eng Online. 2008 Nov 19;7:29. doi: 10.1186/1475-925X-7-29.

7.

Tailoring noise frequency spectrum to improve NIR determinations.

Xie S, Xiang B, Yu L, Deng H.

Talanta. 2009 Dec 15;80(2):895-902. doi: 10.1016/j.talanta.2009.08.010. Epub 2009 Aug 18.

PMID:
19836570
8.

Design and implementation of a multiband digital filter using FPGA to extract the ECG signal in the presence of different interference signals.

Aboutabikh K, Aboukerdah N.

Comput Biol Med. 2015 Jul;62:1-13. doi: 10.1016/j.compbiomed.2015.03.034. Epub 2015 Apr 11.

PMID:
25912983
9.

Effects of noise and filtering on SVD-based morphological parameters of the T wave in the ECG.

Lehtola L, Karsikas M, Koskinen M, Huikuri H, Seppanen T.

J Med Eng Technol. 2008 Sep-Oct;32(5):400-7. doi: 10.1080/03091900701248713.

PMID:
18821417
10.

An ECG ambulatory system with mobile embedded architecture for ST-segment analysis.

Miranda-Cid A, Alvarado-Serrano C.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:78-81. doi: 10.1109/IEMBS.2010.5626165.

PMID:
21095640
11.

Performance Evaluation and Implementation of FPGA Based SGSF in Smart Diagnostic Applications.

Agarwal S, Rani A, Singh V, Mittal AP.

J Med Syst. 2016 Mar;40(3):63. doi: 10.1007/s10916-015-0404-2. Epub 2015 Dec 15.

PMID:
26671061
12.

An optimized DSP implementation of adaptive filtering and ICA for motion artifact reduction in ambulatory ECG monitoring.

Berset T, Geng D, Romero I.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:6496-9. doi: 10.1109/EMBC.2012.6347482.

PMID:
23367417
13.

Cancellation of artifacts in ECG signals using a normalized adaptive neural filter.

Wu Y, Rangayyan RM, Ng SC.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:2552-5.

PMID:
18002515
14.

Alexander fractional differential window filter for ECG denoising.

Verma AK, Saini I, Saini BS.

Australas Phys Eng Sci Med. 2018 Jun;41(2):519-539. doi: 10.1007/s13246-018-0642-y. Epub 2018 Apr 23.

PMID:
29687436
15.

Riemann Liouvelle Fractional Integral Based Empirical Mode Decomposition for ECG Denoising.

Jain S, Bajaj V, Kumar A, Jain S, Bajaj V, Kumar A.

IEEE J Biomed Health Inform. 2018 Jul;22(4):1133-1139. doi: 10.1109/JBHI.2017.2753321. Epub 2017 Sep 18.

PMID:
28922131
16.

Nonlinear high pass filter for R-wave detection in ECG signal.

Keselbrener L, Keselbrener M, Akselrod S.

Med Eng Phys. 1997 Jul;19(5):481-4.

PMID:
9338889
17.

[Optimizing Savitzky-Golay Parameters and Its Smoothing Pretreatment for FTIR Gas Spectra].

Zhao AX, Tang XJ, Zhang ZH, Liu JH.

Guang Pu Xue Yu Guang Pu Fen Xi. 2016 May;36(5):1340-4. Chinese.

PMID:
30001002
18.

Enhancing the precision of ECG baseline correction: selective filtering and removal of residual error.

Shusterman V, Shah SI, Beigel A, Anderson KP.

Comput Biomed Res. 2000 Apr;33(2):144-60.

PMID:
10854121
19.

Fast time-varying linear filters for suppression of baseline drift in electrocardiographic signals.

Kozumplík J, Provazník I.

Biomed Eng Online. 2017 Feb 7;16(1):24. doi: 10.1186/s12938-017-0316-0.

20.

[The application of adaptive algorithm and wavelet transform in the filtering of ECG signal].

Zhang J, Zhang G, Dai G.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2006 Oct;23(5):977-80. Chinese.

PMID:
17121335

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