Algorithm 1 Generation of optimal ECG lengths and lead combinations based on GA

Input: Feature data of each lead with different segment lengths extracted in Section 2.2.2. Algorithm settings, population size = 100, maximum number of iterations = 20 Output: Optimal combination of ECG leads and segment length

1 G0: number of iterations: i = 0. Initialize the population with the given population size using the proposed encoding strategy. 2 for i = 0, 1, 2, …, 20 do 3  Calculate the fitness of each individual in the population Gi 4  Select the individuals with the top 50 fitness as the parent

5  Generate Gi by the selected parents using crossover and mutation operations

6  i = i + 1

7  if the maximum fitness in the population remains unchanged for three generations

8    break from step 2

9  else 10     continue the iteration

11 end

12 Return the individual with the maximum fitness in the iterative process