Signal processing techniques are methods used to analyze, modify, and synthesize signals to extract useful information or improve their quality. These techniques play a crucial role in various applications, including medical diagnostics and monitoring, where they help in detecting abnormalities like arrhythmias in cardiac signals. By employing various algorithms and mathematical models, signal processing techniques enable the transformation of raw data into actionable insights, making them vital for real-time health assessments.
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