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University / Personal Experiments2023Research

ECG Signal Denoising with Wiener Filtering

ECG enhancement using synchronous averaging, QRS detection, and Wiener filtering.

ECG Signal Denoising with Wiener Filtering project overview
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

Technical record

Stack

  • MATLAB
  • Signal Processing
  • Wiener Filtering
  • QRS Detection

Focus

  • ECG
  • Biomedical
  • Signal Processing