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Updated: Jun 18, 2026
06:07
Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
Published on: May 23, 2021
An ECG signal processing algorithm based on removal of wave deflections in time domain
Jungkuk Kim1, Minkyu Kim, Injae Won
1Electronic Engineering Department, Myongji University, Yongin 449-728, Korea. jk.kim@mju.ac.kr
Summary
This study presents a novel method for processing biomedical signals by surgically removing unwanted wave deflections. The technique effectively eliminates high-frequency noise, preserving essential low-frequency components like baseline drift.
Area of Science:
- Biomedical Signal Processing
- Time-Domain Analysis
- Waveform Deflection Removal
Background:
- Biomedical signals often contain high-frequency deflections that can obscure underlying trends.
- Existing methods for signal processing may struggle to selectively remove these artifacts without affecting important signal components.
Purpose of the Study:
- To introduce a novel time-domain method for processing biomedical signals.
- To effectively remove high-frequency wave deflections while preserving low-frequency information.
Main Methods:
- A surgical approach to remove wave deflections in the time domain.
- Identification of high-frequency deflection epochs using four slope trace waves.
- Signal reconstruction by connecting disconnected points after artifact removal.
- Application to simulated data and the MIT-BIH arrhythmia database.
Main Results:
- The method successfully identified and removed high-frequency deflections.
- Low-frequency deflections, such as baseline drifting, were preserved.
- Demonstrated practical efficacy in baseline wandering removal.
Conclusions:
- The proposed method offers an effective way to process biomedical signals by removing high-frequency artifacts.
- This technique is valuable for accurate analysis of biomedical data, particularly in the presence of baseline wander.
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