Notícias

Banca de DEFESA: ALEX BARROS DOS SANTOS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE: ALEX BARROS DOS SANTOS
DATA: 28/02/2020
HORA: 14:30
LOCAL: PPGEE
TÍTULO:

A machine learning framework for ECG biometric systems


PALAVRAS-CHAVES:

ECG, machine learning, wearable devices.


PÁGINAS: 58
GRANDE ÁREA: Engenharias
ÁREA: Engenharia da Computação
RESUMO:

With the new environment of IoT and the deployment of 5G networks, a huge amount of data will be generated. New applications will be created and others will be completely redesigned. In this sense, the demand for health services has increased due to a society greater concern with health and, also, the price decreasing for the acquisition of wearable devices. Moreover, the applications require more data protection and privacy, so, biometrics has become one of the main mechanisms for protecting information used by users in all kid of systems and applications. This work investigates the use of an ECG signal in biometrics systems and the machine learning techniques that could be used in this application. This new signal is an alternative not only to increase current safety standards by providing the individual's continuous authentication but also to assess health with cardiac monitoring already well established in medicine by evaluations. To advance in this area, this dissertation is proposing a framework to build a composed data set from different data sources. Defining techniques for extracting signal considering mobile applications and design a structure that allows the use of ECG as a biometric signal in a scalable and heterogeneous environment considering different machine learning techniques such as Support Vector Machine, Random Forest and Neural Networks.


MEMBROS DA BANCA:
Presidente - 1700540 - EDUARDO COELHO CERQUEIRA
Interno - 2170855 - ADRIANA ROSA GARCEZ CASTRO
Interno - 2244893 - DENIS LIMA DO ROSÁRIO
Externo à Instituição - THAIS LIRA TAVARES DOS SANTOS
Notícia cadastrada em: 22/01/2020 10:52
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