07. Exercise 1: Solution

Summary

After improving the detection rules, we substantially improve the precision and recall of our detector substantially. Watch the video to see how we implement the three strategies for more robust detection:

• Refractory Period Blanking
• Adaptive Thresholding
• T-Wave Rejection

The Pan-Tompkins algorithm is a great example of an event detection algorithm. This kind of algorithm is especially common in biomedical time series processing. By diving deep into this algorithm, you’ve seen how knowledge of the underlying physiology, the signal characteristics, and the noise characteristics can help in the algorithm design. As you learn more about the tools and operations that can boost the signal and suppress noise in a specific domain, you will have better intuition for designing algorithms to solve these types of problems.