Recognizing cardiovascular risk from photoplethysmogram signals using ELM

Abstract

In this paper, photoplethysmogram (PPG) signals, 30 healthy and 30 pathological, are classified as `healthy' or `at risk' of cardiovascular diseases (CVDs) using extreme learning machine (ELM), a supervised learning algorithm. Additionally, two other supervised learning algorithms, backpropagation and support vector machine are used for classification to… (More)

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