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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1934 1
1951 1
1967 1
1968 2
1969 1
1971 2
1972 2
1973 1
1974 3
1975 7
1976 4
1977 11
1978 6
1979 15
1980 10
1981 18
1982 19
1983 17
1984 17
1985 19
1986 20
1987 30
1988 35
1989 38
1990 68
1991 51
1992 58
1993 56
1994 53
1995 89
1996 73
1997 71
1998 49
1999 48
2000 50
2001 60
2002 49
2003 41
2004 68
2005 77
2006 84
2007 94
2008 90
2009 91
2010 82
2011 90
2012 100
2013 95
2014 105
2015 100
2016 98
2017 118
2018 105
2019 98
2020 86
2021 127
2022 101
2023 102
2024 37

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2,821 results

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Page 1
Adaptive Trend Filtering for ECG Denoising and Delineation.
Trigano T, Talala S, Luengo D. Trigano T, et al. IEEE J Biomed Health Inform. 2023 Dec;27(12):5755-5766. doi: 10.1109/JBHI.2023.3314983. Epub 2023 Dec 5. IEEE J Biomed Health Inform. 2023. PMID: 37703166
In this article, we propose a method, based on compressive sensing techniques, to remove the main noise artifacts and to locate the main features of the pulses in the electrocardiogram (ECG). The motivation is to use trend filtering with a varying proximal parameter …
In this article, we propose a method, based on compressive sensing techniques, to remove the main noise artifacts and to locate the main fea …
New standards for ECG equipment.
Young B. Young B. J Electrocardiol. 2019 Nov-Dec;57S:S1-S4. doi: 10.1016/j.jelectrocard.2019.07.013. Epub 2019 Jul 25. J Electrocardiol. 2019. PMID: 31387696 Review.
This new ECG device standard will define basic safety and essential performance requirements and compliance testing methods for all types of ECG devices including both legacy types of ECG devices as well as new types of ECG devices. ...Specific updates …
This new ECG device standard will define basic safety and essential performance requirements and compliance testing methods for all t …
Filtering of ECG signals distorted by magnetic field gradients during MRI using non-linear filters and higher-order statistics.
Schmidt M, Krug JW, Rosenheimer MN, Rose G. Schmidt M, et al. Biomed Tech (Berl). 2018 Jul 26;63(4):395-406. doi: 10.1515/bmt-2016-0232. Biomed Tech (Berl). 2018. PMID: 28981438
To cope with this problem, a new median-based real-time gradient filter (M1) approach was developed. To improve the filter results, a preprocessing step based on higher-order statistics (M2) was added to this. For the evaluation of the filtering techniques, …
To cope with this problem, a new median-based real-time gradient filter (M1) approach was developed. To improve the filter res …
Adaptive Spectro-Temporal Filtering for Electrocardiogram Signal Enhancement.
Tobon DP, Falk TH. Tobon DP, et al. IEEE J Biomed Health Inform. 2018 Mar;22(2):421-428. doi: 10.1109/JBHI.2016.2638120. Epub 2016 Dec 9. IEEE J Biomed Health Inform. 2018. PMID: 27959833
Here, we propose a new denoising method based on adaptive spectro-temporal filtering for ECG enhancement. The algorithm relies on the so-called modulation spectral signal representation, which is shown to accurately separate ECG and noise components. The prop …
Here, we propose a new denoising method based on adaptive spectro-temporal filtering for ECG enhancement. The algorithm relies …
See through ECG technology during cardiopulmonary resuscitation to analyze rhythm and predict defibrillation outcome.
Affatato R, Li Y, Ristagno G. Affatato R, et al. Curr Opin Crit Care. 2016 Jun;22(3):199-205. doi: 10.1097/MCC.0000000000000297. Curr Opin Crit Care. 2016. PMID: 27031917 Review.
PURPOSE OF REVIEW: Automated external defibrillators require preshock interruptions in cardiopulmonary resuscitation (CPR) to perform rhythm analysis. Artifact filtering technology may provide the opportunity to visualize the underlying ECG trace during CPR. ...Tech …
PURPOSE OF REVIEW: Automated external defibrillators require preshock interruptions in cardiopulmonary resuscitation (CPR) to perform rhythm …
[A Digital Filtering Method for Eliminating DC Offset in Ambulatory ECG Signals].
Chen Y, Kong X, Zhu W. Chen Y, et al. Zhongguo Yi Liao Qi Xie Za Zhi. 2019 Jul 30;43(4):252-254. doi: 10.3969/j.issn.1671-7104.2019.04.005. Zhongguo Yi Liao Qi Xie Za Zhi. 2019. PMID: 31460714 Chinese.
If upgrading high-pass filter cutoff frequency, it will lead to low frequency distortion of ECG signals. ...The results of ECG filtering experiment verify the feasibility of the SG smoothing filter, and show the filtered ECG signal …
If upgrading high-pass filter cutoff frequency, it will lead to low frequency distortion of ECG signals. ...The results of …
A Novel ECG Denoising Scheme Using the Ensemble Kalman Filter.
Sarafan S, Vuong H, Jilani D, Malhotra S, Lau MPH, Vishwanath M, Ghirmai T, Cao H. Sarafan S, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:2005-2008. doi: 10.1109/EMBC48229.2022.9871884. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086399
Recent advances in the technology of wearable electronics have enabled compact devices to acquire personal physiological signals in the home setting; however, signals are usually contaminated with high level noise. Thus, an efficient ECG filtering scheme is a dire n …
Recent advances in the technology of wearable electronics have enabled compact devices to acquire personal physiological signals in the home …
Variational mode decomposition based ECG denoising using non-local means and wavelet domain filtering.
Singh P, Pradhan G. Singh P, et al. Australas Phys Eng Sci Med. 2018 Dec;41(4):891-904. doi: 10.1007/s13246-018-0685-0. Epub 2018 Sep 6. Australas Phys Eng Sci Med. 2018. PMID: 30191539
This work also incorporates the efficacy of the non-local means (NLM) estimation and the discrete wavelet transform (DWT) filtering technique. Current ECG denoising methods fail to remove noise from the entire frequency range of the ECG signal. To achieve the …
This work also incorporates the efficacy of the non-local means (NLM) estimation and the discrete wavelet transform (DWT) filtering t …
The Identification of ECG Signals Using WT-UKF and IPSO-SVM.
Li N, Zhu L, Ma W, Wang Y, He F, Zheng A, Zhang X. Li N, et al. Sensors (Basel). 2022 Mar 2;22(5):1962. doi: 10.3390/s22051962. Sensors (Basel). 2022. PMID: 35271105 Free PMC article.
In order to improve the accuracy of ECG signal identification, this paper proposes an ECG identification method based on a multi-scale wavelet transform combined with the unscented Kalman filter (WT-UKF) algorithm and the improved particle swarm optimization- …
In order to improve the accuracy of ECG signal identification, this paper proposes an ECG identification method based on a mul …
A New ECG Denoising Framework Using Generative Adversarial Network.
Singh P, Pradhan G. Singh P, et al. IEEE/ACM Trans Comput Biol Bioinform. 2021 Mar-Apr;18(2):759-764. doi: 10.1109/TCBB.2020.2976981. Epub 2021 Apr 6. IEEE/ACM Trans Comput Biol Bioinform. 2021. PMID: 32142452
These methods use some kind of thresholding and filtering approaches. In our proposed technique, convolutional neural network (CNN) based GAN model is effectively trained for ECG noise filtering. ...The improved ECG denoising performance open the door …
These methods use some kind of thresholding and filtering approaches. In our proposed technique, convolutional neural network (CNN) b …
2,821 results