has been cited by the following article(s):
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[1]
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Power line interference removal from electrocardiogram signal using multi-order adaptive LMS filtering
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2021 |
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[2]
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Methodological Development of Visual Electrodiagnostic of Records with Poor SNR: With Application in Calibration, Quality Assurance, Collaboration and Training
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2020 |
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[3]
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Methodological Development of Visual Electrodiagnostic of Records with Poor SNR: With Application in Calibration, Quality Assurance, Collaboration and …
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2020 |
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[4]
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FIR Filter Realization Using New Algorithms in Order to Eliminate Power Line Interference from ECG Signal
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Fundamental Research in Electrical Engineering,
2019 |
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[5]
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Introducing new algorithms for realising an FIR filter with less hardware in order to eliminate power line interference from the ECG signal
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2016 |
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[6]
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ECG signal processing for recognition of cardiovascular diseases: A survey
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2016 |
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[7]
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Denoising practices for electrocardiographic (ECG) signals: A survey
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Computer, Communications, and Control Technology (I4CT), 2015 International Conference on,
2015 |
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[8]
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Introducing New Algorithms for Realizing FIR Filter with Less Hardware in Order to Eliminate Power Line Interference from ECG signal
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IET signal Processing, doi,
2015 |
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[1]
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Fundamental Research in Electrical Engineering
Lecture Notes in Electrical Engineering,
2019
DOI:10.1007/978-981-10-8672-4_68
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[2]
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Introducing new algorithms for realising an FIR filter with less hardware in order to eliminate power line interference from the ECG signal
IET Signal Processing,
2016
DOI:10.1049/iet-spr.2015.0552
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[3]
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ECG signal processing for recognition of cardiovascular diseases: A survey
2016 Sixth International Conference on Innovative Computing Technology (INTECH),
2016
DOI:10.1109/INTECH.2016.7845089
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