Data Science

Data Science

Time series features extraction using Fourier and Wavelet transforms on ECG data

ABSTRACT This article focuses on the features extraction from time series and signals using Fourier and Wavelet transforms. This task will be carried out on an electrocardiogram (ECG) dataset in order to classify three groups of people: those with cardiac arrhythmia (ARR), congestive heart failure (CHF) and normal sinus rhythm (NSR). Our approach consists of using scaleogram (i.e. 2D representation of 1D extracted features) as an input to train a Neural Network (NN). We conducted the different tasks using python as a programming language. The…

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Data Science

Industrial document classification with Deep Learning

Knowledge is a goldmine for companies. It comes in different shapes and forms: mainly documents (presentation slides and documentation) that allow businesses to share information with their customers and staff. The way companies harness this knowledge is central to their ability to develop their business successfully. One of the common ways to ease the access to this document base is to use search engines based on textual data. At OCTO, we have decided to use optical character recognition (OCR) solutions to extract this data, since…

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