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Adaptive Mobile ECG Analysis

Dr Mohamed Medhat GaberSchool of ComputingUniversity of PortsmouthE-mail: mohamed.gaber@port.ac.uk

Symbolic Approximation of ECG

Symbolic ApproXimation (SAX) has been invented by Prof. Eamonn Keogh and his colleagues at UCR.

SAX representation of time series is considered the state-of-the-art.

SAX has been successfully used with notable efficiency in: Discord discovery Motif discovery

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Real-time Classification of ECG SAX uses alphabet letters for time

series representation. We have used SAX to represent

ECG onboard Google Android for real-time classification using K-NN

We have used adaptation to ensure the continuity of the process

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Current Development Discord and Motif Discovery

Real-time discord and motif discovery of time series

Mapping discovered discords and motifs to real ECG problems

Identifying other problems that we have termed as regular patters

Using SAX and point-based clustering for time series representation

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Thanks for listening

Dr Mohamed Medhat GaberSchool of ComputingFaculty of Technology

University of PortsmouthE-mail: mohamed.gaber@port.ac.uk, mohamed.m.gaber@gmail.com

Web: http://userweb.port.ac.uk/~gaberm/