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yes / The aim of this book is to be able to interpret Electrocardiograms avoiding all possible errors. The accuracy of the interpretation is of great importance but a true diagnosis is far more significant. This book focuses on the recognition and interpretation of arrhythmias, one of the most important clinical tools in medicine. The greatest degree of accuracy is achieved by familiarising with the normal ECG that enables the recognition of abnormal patterns to be made immediately. Firstly, it is necessary to acquaint the function of the heart and the electrical activity in order to broaden our understanding of how the ECG detects this electrical activity. It is essential to know the characteristic patterns of a normal ECG and to categorise a wide array of morphologic patterns along with determining abnormal ECG patterns to be diagnostic of particular pathological entities. A series of practical experiments have been carried out on various subjects using the BIOPAC system to record electrical signals of the heart. Subjects were asked to perform various tasks such as lying down, sitting, deep breathing and exercising to detect electrical signals in different conditions and eventually interpret the data. The ethical issue toward each subject is also too important, so it was necessary to let the subject know about any risk factors during experiment. For this purpose, a Volunteer Information Sheet was designed during this work for each subject to read and be aware of all the ethical issues. Also, another Patient Consent Form was designed to make sure that each volunteer fully understands the procedures. Volunteer Questionnaire is necessary to make sure volunteer that there is no problem, which can affect the experimental results. Finally, ECG results were interpreted using a systematic approach and the precise findings were correlated with the pathophysiology and clinical status of the patient. This book concludes with a thorough investigation into the essential techniques and skills required to accurately interpret an ECG, eliminating as many errors as possible.

With the massive deluges of data that several domains of study experience, referred to as Big Data, the need to efficiently process and analyze data has risen. Ontologies have been employed to structure these domains with the ultimate purpose of generating new knowledge about the respective domain. Currently, when creating or examining an ontology, the concepts of the domain are limited to being statically defined in relation to other concepts. This limitation on the concept's definition affects the reasoning process by omitting or not properly representing all information that may exist in the domain such as how the constantly evolving environment changes how the data can be understood. The resulting tool of this research, Conto, allows for the interpretation of a concept as an abstract data type. When coupled to knowledge generation process, these interpretations allow the obtention of new knowledge that would traditionally be unobtainable. The different types of knowledge that can be obtained via the multiple interpretations are explored in this work using examples of ontologies. Conto is a Protege plugin that uses Ontograf to display the ontologies. / Thesis / Master of Applied Science (MASc)

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