University / Personal Experiments2023Research
ECG Signal Denoising with Wiener Filtering
ECG enhancement using synchronous averaging, QRS detection, and Wiener filtering.

- Role
- Signal Processing Experiment
- Work track
- University / Personal Experiments
- Category
- Signal / Image Processing
Context and problem
ECG signals required noise reduction while preserving diagnostically relevant waveform behavior.
Execution and contribution
Combined synchronous averaging, cross-correlation QRS detection, and Wiener filtering in MATLAB.
Outcomes and proof
Recorded results and supplied evidence from the work.
- 01
- Wiener filter
- 02
- QRS detection
- 03
- MATLAB
- Improved ECG signal clarity.
- Preserved key waveform structure.
- Documented biomedical signal-processing steps.
- Signal-processing workflow design for biomedical data preparation and quality enhancement.
Available evidence
- ECG denoising report plots
- Pipeline implementation snapshots
Gallery and evidence
Signal Processing Pipeline and supplied project material.



Technical record
Stack
- MATLAB
- Signal Processing
- Wiener Filtering
- QRS Detection
Focus
- ECG
- Biomedical
- Signal Processing
Resources


