ELM is a single-hidden layer feedforward neural network with the hidden layer parameters randomly generated in advance and the output layer parameters calculated optimally using the least-square algorithm directly using the training samples. ELM is used as the heartbeat classification algorithm due to its high accuracy training accuracy, fast…[Read more]

05%. When analyzing the 128 double positive samples, it was found that the geometric mean of ratios (GMR) for paired observations was 0.98, which indicates a very good alignment between the two methods. The Deming regression fitted between the methods also showed a good correlation with an estimated slope being 1.1085. In the second study,…[Read more]