Relevant bibliographies by topics / ECG signal interference

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'ECG signal interference'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'ECG signal interference.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "ECG signal interference"

1

Smolarik, Lukas, Dusan Mudroncik, and Lubos Ondriga. "ECG Signal Processing." Advanced Materials Research 749 (August 2013): 394–400. http://dx.doi.org/10.4028/www.scientific.net/amr.749.394.

Full text
Abstract:
Electrocardiography (ECG) is a diagnostic method that allows sensing and record the electric activity of heart [. The measurement of electrical activity is used as a standard twelve-point system. At each of these leads to measure the useful signal and interference was measured. The intensity of interference depends on the artefacts (electrical lines, brum, motion artefacts, muscle, interference from the environment, etc.). For correct evaluation of measured signal there is a need to processing the measured signal to suitable form. At present, the use of electrocardiograms with sensors with con
APA, Harvard, Vancouver, ISO, and other styles
2

Mohan, Neethu, Sachin Kumar S, Prabaharan Poornachandran, and Soman K.P. "Modified Variational Mode Decomposition for Power Line Interference Removal in ECG Signals." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (2016): 151. http://dx.doi.org/10.11591/ijece.v6i1.8592.

Full text
Abstract:
Power line interferences (PLI) occurring at 50/60 Hz can corrupt the biomedical recordings like ECG signals and which leads to an improper diagnosis of disease conditions. Proper interference cancellation techniques are therefore required for the removal of these power line disturbances from biomedical recordings. The non-linear time varying characteristics of biomedical signals make the<strong> </strong>interference removal a difficult task without compromising the actual signal characteristics. In this paper, a modified variational mode decomposition based approach is proposed fo
APA, Harvard, Vancouver, ISO, and other styles
3

Mohan, Neethu, Sachin Kumar S, Prabaharan Poornachandran, and Soman K.P. "Modified Variational Mode Decomposition for Power Line Interference Removal in ECG Signals." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (2016): 151. http://dx.doi.org/10.11591/ijece.v6i1.pp151-159.

Full text
Abstract:
Power line interferences (PLI) occurring at 50/60 Hz can corrupt the biomedical recordings like ECG signals and which leads to an improper diagnosis of disease conditions. Proper interference cancellation techniques are therefore required for the removal of these power line disturbances from biomedical recordings. The non-linear time varying characteristics of biomedical signals make the<strong> </strong>interference removal a difficult task without compromising the actual signal characteristics. In this paper, a modified variational mode decomposition based approach is proposed fo
APA, Harvard, Vancouver, ISO, and other styles
4

Kumar, M. Suresh, G. Krishnamoorthy, and D. Vaithiyanathan. "Synchrosqueezing Transform Based Powerline Interference Reduction in ECG Recording." Journal of Medical Imaging and Health Informatics 10, no. 10 (2020): 2259–73. http://dx.doi.org/10.1166/jmihi.2020.3174.

Full text
Abstract:
This paper presents an adaptive ECG enhancement procedure based on Synchrosqueezing Transform (SST) to eliminate Powerline interference (PLI) from ECG signal. This work also incorporates the principles of modified discrete cosine transform (MDCT) and wiener filter. PLI is a major source of artifacts in the ECG signal which can affect its interpretation. Separating PLI from ECG signal poses a great challenge in the ECG analysis. The existing PLI removal techniques suffer from two major drawbacks such as Mode Mixing, inability to deal with non-stationary characteristics of signal. In this paper,
APA, Harvard, Vancouver, ISO, and other styles
5

Peng, Yan, and Zhi Gang Qin. "The Design of a Filter System for ECG Signal." Applied Mechanics and Materials 513-517 (February 2014): 3757–60. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3757.

Full text
Abstract:
According to the process of the ECG signal extraction, the ECG signal is susceptible to interference which will affect the quality and effect of ECG test. In this essay, we designed an ECG signal filtering system based on ARM. It can filter the interference signal and reduce the interference of the common mode signal and power frequency, through the design circuit of the preamplifier, post amplification, filtering, notch filtering, and power amplification. Thus, ECG signal will be better collected and met the best demand.
APA, Harvard, Vancouver, ISO, and other styles
6

Ma, Jing, Jun Xu, Hai Bo Xu, Yu Wang, and Sheng Xu Yin. "Design of ECG Signal Acquisition and Processing Circult." Applied Mechanics and Materials 236-237 (November 2012): 856–61. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.856.

Full text
Abstract:
ECG signal is, as a vital method performed on the heart study and clinical diagnosis of cardiovascular diseases, an important human physiological signal, containing the human cardiac conduction system of physiological and pathological information. Aiming at the weak low frequency characteristic of ECG signals, the core circuit based on the AD620 and LM324 amplifier is given. After analyzing the major components of the ECG signal and the frequency range of interference, weak ECG signal collected by the electrodes is amplified by the preamplifier circuit, and the interference then is wiped out b
APA, Harvard, Vancouver, ISO, and other styles
7

Huang, Jian-Jia, Chung-Yu Chang, Jen-Kuang Lee, and Hen-Wai Tsao. "RESOLVING SINGLE-LEAD ECG FROM EMG INTERFERENCE IN HOLTER RECORDING BASED ON EEMD." Biomedical Engineering: Applications, Basis and Communications 26, no. 01 (2014): 1450008. http://dx.doi.org/10.4015/s1016237214500082.

Full text
Abstract:
The aim of this study was to propose an electrocardiogram (ECG) de-noising framework based on ensemble empirical mode decomposition (EEMD) to eliminate electromyography (EMG) interference without signal distortion. ECG signals are easily corrupted by EMG, especially in Holter monitor recordings. The frequency component overlapping between EMG and ECG is a challenge in signal processing that remains to be solved. The aim of the present study, therefore, was to resolve ECG signals from recorded segments with EMG noise. Two units were put into our proposed framework; first, modified moving averag
APA, Harvard, Vancouver, ISO, and other styles
8

Ladrova, Martina, Radek Martinek, and René Jaros. "Power Line Interference Elimination in ECG Signals." Journal of Biomimetics, Biomaterials and Biomedical Engineering 41 (April 2019): 105–15. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.41.105.

Full text
Abstract:
The recordings of electrocardiogram (ECG), as an important biological signal which provides a valuable basis for the clinical diagnosis and treatment, are often corrupted by the wide range of artifacts. One important of them is power line interference (PLI). The overlapping interference affects the quality of ECG waveform, leading to the false detection and recognition of wave groups, and thus causing faulty treatment or diagnosis. The study deals with some of the signal processing approaches frequently used for elimination of PLI in ECG signal and compares the accuracy of methods by evaluatio
APA, Harvard, Vancouver, ISO, and other styles
9

Jagannaveen, V., K. Murali Krishna, and K. Raja Rajeswari. "Noise reduction in ECG signals for bio-telemetry." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 2 (2019): 1028. http://dx.doi.org/10.11591/ijece.v9i2.pp1028-1035.

Full text
Abstract:
<p>In Biotelemetry, Biomedical signal such as ECG is extremely important in the diagnosis of patients in remote location and is recorded commonly with noise. Considered attention is required for analysis of ECG signal to find the patho-physiology and status of patient. In this paper, LMS and RLS algorithm are implemented on adaptive FIR filter for reducing power line interference (50Hz) and (AWGN) noise on ECG signals .The ECG signals are randomly chosen from MIT_BIH data base and de-noising using algorithms. The peaks and heart rate of the ECG signal are estimated. The measurements are
APA, Harvard, Vancouver, ISO, and other styles
10

Venkat, Neeraj. "Representation and Denoising of ECG Signal Using Hybrid Filtering Approach." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 3281–86. http://dx.doi.org/10.22214/ijraset.2021.37044.

Full text
Abstract:
Electrocardiogram (ECG) signal plays an imperative role in monitoring and examining the health condition of the heart. ECG signal represents the electrical activity of the heat. The most consequential noises that degrade important features in ECG signal are powerline interference noise, external electromagnetic field interference noise, baseline wandering and electroencephalogram noise. The features of ECG signal obtained in time domain is not sufficient for analyzing the ECG signal. As the signal is non-stationary, the time-frequency representation can be used for feature extraction. The Shor
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "ECG signal interference"

1

Bartošovský, Petr. "Vliv rušení EKG signálu na kompresi algoritmem SPIHT." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218669.

Full text
Abstract:
The thesis provides an analysis of the ECG signal, focusing on the possible types of interference occuring in the signal. These types of interference are closely examined and their realization in the MATLAB programming environment is characterized. The SPIHT algorithm is introduced and the possibilities of its use are discussed. Futher, the application of this algorithm to the ECG signal containing individual types of interference generated by means of the designed interference generator is described and the impact of the SPIHT algorithm on the specific types of signal interference is analyzed
APA, Harvard, Vancouver, ISO, and other styles
2

Malý, Tomáš. "Automatické rozpoznání kvality signálů EKG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413167.

Full text
Abstract:
This thesis deals with issues of automatic quality estimation of ECG signals. The main aim of this thesis is to implement own algorithm for classifying ECG signals into three classes of quality. Theoretical part of the thesis contains mostly description of recording electrical activity of the heart, anatomy and physiology of the heart, electrocardiography, different types of ECG signals interference and two of the chosen methods for quality estimation. Implementation of the chosen methods is presented in the practical part. Result of this thesis are two implemented algorithms, which are based
APA, Harvard, Vancouver, ISO, and other styles
3

Ryšánek, Jan. "Filtrace signálů EKG s využitím vlnkové transformace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219504.

Full text
Abstract:
This work deals with the possibilities of filtering the ECG signal, representing the first part, which is the basis for successful delineation and follow diagnosis of the ECG signal. Filtration in this case is mean to suppress interference from electrical grid, noise of electrical grid. The content of the work is description of filters realized trough wavelet transform and linear filtering as a means to successful filtration of interference. There are method of stationary wavelet transform - dyadic wavelet transform, wavelet packet transform and wavelet wiener filtering method. Linear filterin
APA, Harvard, Vancouver, ISO, and other styles
4

Ráček, Tomáš. "Rychlé číslicové filtry pro signály EKG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219241.

Full text
Abstract:
In the thesis there are described the implementations of various types of filters to remove disturbing signals, which often degrade the ECG signal. In particular, it is a zero isoline fluctuations and power network interference. It is used a principle of the Lynn’s linear filters. The individual filters are designed in a recursive and non-recursive implementation. Then there is described a time-varying linear Lynn's filter for removing drift of zero isoline signal. The thesis also includes filters with minimized calculating time of response, by sampling rate conversion method for both interfer
APA, Harvard, Vancouver, ISO, and other styles
5

Janů, Joshua. "Vlnkový wienerovský filtr EKG signálů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220872.

Full text
Abstract:
The thesis focuses on the use of wavelet wiener filtration to remove muscular interference from ECG signals. As part of it, a filter has been implemented in the MATLAB programming environment. The main part of the thesis deals with the optimization of numerical parameters of the proposed filter. The results of the filtration are compared with the results reported by other authors.
APA, Harvard, Vancouver, ISO, and other styles
6

Dizon, Lucas, and Martin Johansson. "Atrial Fibrillation Detection Algorithm Evaluation and Implementation in Java." Thesis, KTH, Skolan för teknik och hälsa (STH), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158878.

Full text
Abstract:
Atrial fibrillation is a common heart arrhythmia which is characterized by a missing or irregular contraction of the atria. The disease is a risk factor for other more serious diseases and the total medical costs in society are extensive. Therefore it would be beneficial to improve and optimize the prevention and detection of the disease.   Pulse palpation and heart auscultation can facilitate the detection of atrial fibrillation clinically, but the diagnosis is generally confirmed by an ECG examination. Today there are several algorithms that detect atrial fibrillation by analysing an ECG. A
APA, Harvard, Vancouver, ISO, and other styles
7

KO, WANG CHIA-LIN, and 柯王佳燐. "ECG Detection And Correction Based On BP Signal Under Strong Noise Interference." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/r46r5w.

Full text
Abstract:
碩士<br>國立雲林科技大學<br>資訊工程系<br>105<br>In recent years, cardiovascular disease is the major causes of death. Cardiovascu-lar disease is mainly observed through electrocardiogram. ECG is susceptible to inter-ference from external factors, leading to added noise of ECG signal. In this study, ECG feature extraction combined with blood pressure. In this study, the original signal uses median filtering to remove low-frequency noise, and then use Wavelet modulus maxima detection characteristics. The pulse transit time(PTT) is used to train the classifier used to identify the characteristics of the ECG. I
APA, Harvard, Vancouver, ISO, and other styles
8

KO, WANG CHIA-LIN, and 柯王佳燐. "ECG Detection And Correction Based On BP Signal Under Strong Noise Interference." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/67845607288283632058.

Full text
Abstract:
碩士<br>國立雲林科技大學<br>資訊工程系<br>104<br>In recent years, cardiovascular disease is the major causes of death. Cardiovascu-lar disease is mainly observed through electrocardiogram. ECG is susceptible to inter-ference from external factors, leading to added noise of ECG signal. In this study, ECG feature extraction combined with blood pressure. In this study, the original signal uses median filtering to remove low-frequency noise, and then use Wavelet modulus maxima detection characteristics. The pulse transit time(PTT) is used to train the classifier used to identify the characteristics of the ECG. I
APA, Harvard, Vancouver, ISO, and other styles
9

Jhang, Yu-Syuan, and 張育軒. "Transform-domain Normalized Least Mean Square Algorithm Design and Implementation for the Power-line Interference Cancellation from ECG Signal." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3p4f68.

Full text
Abstract:
碩士<br>國立中山大學<br>醫學科技研究所<br>106<br>Electrocardiography (ECG) has been widely used in medicine for the detection of the electrical signal of cardiac. For example: the doctors can diagnose the cardiac diseases via the electrical conduction system of ECG. For first aid and emergency medical help, automated external defibrillator (AED) is applied to automatically diagnose the life-threatening cardiac arrhythmias of ventricular fibrillation and is able to treat them through defibrillation if the patient’s cardiac rhythm is fatal ventricular arrhythmia. However, several noises, such as baseline wande
APA, Harvard, Vancouver, ISO, and other styles
10

YANG, SHIN-LUNG, and 楊欣龍. "Improve the EEG Signal Anti-Interference Based on Neural Network." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/n4u5yu.

Full text
Abstract:
碩士<br>國立宜蘭大學<br>多媒體網路通訊數位學習碩士在職專班<br>105<br>Electroencephalography（EEG）is often used to assist in diagnosing brain diseases and sleep disorders. However, EEG signals are easily interfered. The interferences can be divided into external interferences and internal interferences. For example, the former ones are caused by magnetic field or metal interferences while the latter ones are from eye blinks or head movements. Therefore, it is difficult to tell whether a signal is from a brainwave or an artifact. The current solution is to correct the signals by software or hardware, like Wavelet Transfo
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "ECG signal interference"

1

Pitt, Matthew. Motor unit anatomy and physiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754596.003.0006.

Full text
Abstract:
This chapter focuses on the signals recorded with needle electromyography (EMG) and the measurement of their specific parameters. These parameters include duration, amplitude, number of phases, and stability. The concept of the electrophysiologic biopsy and the explanation of unusual findings seen on EMG are introduced. In relation to the interference pattern, discussions of the firing rate, recruitment order, and interference pattern are given. Moving from the theoretical explanation of the findings, the problems of the accurate quantitative analysis of the motor unit potential are discussed
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "ECG signal interference"

1

Torres, A., J. A. Fiz, and R. Jané. "Cancellation of Cardiac Interference in Diaphragm EMG Signals Using an Estimate of ECG Reference Signal." In IFMBE Proceedings. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_248.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kasture, A. M., M. A. Deshmukh, J. S. Hallur, D. P. Narsale, and Akshay A. Jadhav. "Enhancement of ECG Signal by Minimizing Power Line Interference Using FPGA Based Adaptive Filter." In Techno-Societal 2018. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16848-3_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Liu, Shing-Hong, Li-Te Hsu, Cheng-Hsiung Hsieh, and Yung-Fa Huang. "Denoising of ECG Signal with Power Line and EMG Interference Based on Ensemble Empirical Mode Decomposition." In Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03748-2_21.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sujadevi, V. G., K. P. Soman, S. Sachin Kumar, and Neethu Mohan. "A Novel Cyclic Convolution Based Regularization Method for Power-Line Interference Removal in ECG Signal." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67934-1_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Chauhan, Ranjit Singh. "Interference Reduction in ECG Signal Using IIR Digital Filter Based on GA and Its Simulation." In Health Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68723-6_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Farajdokht, Akbar, and Behbood Mashoufi. "FIR Filter Realization Using New Algorithms in Order to Eliminate Power Line Interference from ECG Signal." In Lecture Notes in Electrical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8672-4_68.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Singh, Pushpendra, Ishita Srivastava, Amit Singhal, and Anubha Gupta. "Baseline Wander and Power-Line Interference Removal from ECG Signals Using Fourier Decomposition Method." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0923-6_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Mohan, Neethu, S. Sachin Kumar, and K. P. Soman. "An $${\ell _1}$$ ℓ 1 -Norm Based Optimization Approach for Power Line Interference Removal in ECG Signals." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3376-6_35.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Li, T., and T. Li. "PLL-based adaptive power line interference canceller for ECG signal." In Multimedia, Communication and Computing Application. CRC Press, 2015. http://dx.doi.org/10.1201/b18512-63.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Rawal, Kirti, Gaurav Sethi, Barjinder Singh Saini, and Indu Saini. "HRV." In Global Developments in Healthcare and Medical Tourism. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9787-2.ch013.

Full text
Abstract:
The most important factor involved in heart rate variability (HRV) analysis is cardiac input signal, which is achieved in the form of electrocardiogram (ECG). The ECG signal is used for identifying many electrical defects associated with the heart. In this chapter, many issues involved while ECG recording such as type of the recording instrument, various sources of noise, artifacts, and electrical interference from surroundings is presented. Most importantly, this chapter comprises the details about the experimental protocols followed while ECG recording. Also, the brief overview of medical tourism as well as various interpolation methods used for pre-processing of RR intervals are presented in this chapter.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "ECG signal interference"

1

Peng, Xiaohua, Hongqing Liu, Xin Xu, and Yi Zhou. "Power Line Interference Suppression for ECG Signal Recovery." In 10th EAI International Conference on Mobile Multimedia Communications. EAI, 2017. http://dx.doi.org/10.4108/eai.13-7-2017.2270041.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Min Li, Jiyin Zhao, Weiwei Zhang, and Ruirui Zheng. "ECG signal base line filtering and power interference suppression method." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5690970.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Butt, M., N. Razzaq, I. Sadiq, M. Salman, and T. Zaidi. "Power Line Interference removal from ECG signal using SSRLS algorithm." In 2013 IEEE 9th International Colloquium on Signal Processing & its Applications (CSPA). IEEE, 2013. http://dx.doi.org/10.1109/cspa.2013.6530021.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Akbary, Parisa, and Hossein Rabbani. "Removing Power Line Interference and ECG signal from EMG signal using Matching Pursuit." In 2010 10th International Conference on Signal Processing (ICSP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icosp.2010.5656716.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kumari, R. S. S., and V. Sadasivam. "Successive partition zero coder for embedded lossless wavelet-based EGC signal coding [EGC read ECG]." In 8th International Conference on Electromagnetic Interference and Compatibility. IEEE, 2003. http://dx.doi.org/10.1109/icemic.2003.238025.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hamza, N., L. Khriji, and R. Tourki. "Interference reduction in ECG signal acquisition: Ground electrode removal (case study)." In 2013 International Conference on Computer Medical Applications (ICCMA 2013). IEEE, 2013. http://dx.doi.org/10.1109/iccma.2013.6506165.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Tahir, Suleman, Nauman Razzaq, Ayesha Zeb, and Muneeb Masood Raja. "Performance Comparison of Adaptive Power Line Interference Cancellers for ECG Signal." In 2019 International Conference on Robotics and Automation in Industry (ICRAI). IEEE, 2019. http://dx.doi.org/10.1109/icrai47710.2019.8967400.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Rungchamrus, Auenjit, Jeerasuda Koseeyaporn, and Paramote Wardkein. "Adaptive frequency technique for eliminating power line interference in ECG signal." In 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2012). IEEE, 2012. http://dx.doi.org/10.1109/ecticon.2012.6254154.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Butt, Maryam, Nauman Razzaq, Ismail Sadiq, Muhammad Salman, and Tahir Zaidi. "Power Line Interference tracking in ECG signal using State Space RLS." In 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA 2013). IEEE, 2013. http://dx.doi.org/10.1109/iciea.2013.6566367.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Huhe, Dai, Jiang Shouda, and Wei Chang'an. "A Novel Suppression Algorithm of Power Line Interference in ECG Signal." In 2010 First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA 2010). IEEE, 2010. http://dx.doi.org/10.1109/pcspa.2010.164.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'ECG signal interference' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography