Impact of radiation-induced noise on ECG signals and heart rate estimation: a transfer learning-based approach

Key Points

• This research aims to investigate how radiation-induced noise affects ECG signals and heart rate estimation.
• Utilized transfer learning techniques to analyze ECG signals.
• Compared different signal processing approaches in the presence of radiation noise.
• Evaluated heart rate estimation performance statistically.
• Significant degradation in heart rate estimation accuracy due to radiation noise.
• Transfer learning improved estimation outcomes compared to traditional methods.
• Results indicate a need for better noise-handling techniques in ECG analysis.