Wavelet Transform Based Approach by Kaur Inderbir (6 results)

Paperback. Condition: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

Taschenbuch. Condition: Neu. Wavelet Transform based approach for analysis of ECG signal | Inderbir Kaur (u. a.) | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330076464 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Electrocardiography is one of the most important tools used for the diagnosis of heart diseases. The heart is a vital organ of the body that forms a pump to circulate blood throughout blood vessels in the body. Electrocardiogram (ECG) signal of a person symbolizes the heart' s electrical activity recorded by placing electrodes on his body surface. ECG signal also provides essential information about the proper functioning of the heart and rate & regularity of the heart beats. There are certain irregularities present in ECG signal due to abnormal activity of the heart which are termed as Arrhythmia. Hence it becomes imperative to properly analyze the ECG signal. However, it is very difficult to analyze ECG signal being of non-stationary nature. A lot of research has been done for analysis and detection of ECG signal. Nevertheless, Wavelet Transform analysis proves to be better method than other methods as it breaks a signal into shifted and scaled version of original wavelet and consumes less computation time. In this study, a number of ECG signal samples varying in age and gender have been analyzed; and different cardiac diseases are detected through Wavelet Transform. 68 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kaur InderbirInderbir Kaur is currently working in SBS State Technical Campus, Ferozepur, India. Her areas of interest include signal processing and wireless communication.Dr. Rajni is currently Professor in SBSSTC, Ferozepur, India.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Electrocardiography is one of the most important tools used for the diagnosis of heart diseases. The heart is a vital organ of the body that forms a pump to circulate blood throughout blood vessels in the body. Electrocardiogram (ECG) signal of a person symbolizes the heart' s electrical activity recorded by placing electrodes on his body surface. ECG signal also provides essential information about the proper functioning of the heart and rate & regularity of the heart beats. There are certain irregularities present in ECG signal due to abnormal activity of the heart which are termed as Arrhythmia. Hence it becomes imperative to properly analyze the ECG signal. However, it is very difficult to analyze ECG signal being of non-stationary nature. A lot of research has been done for analysis and detection of ECG signal. Nevertheless, Wavelet Transform analysis proves to be better method than other methods as it breaks a signal into shifted and scaled version of original wavelet and consumes less computation time. In this study, a number of ECG signal samples varying in age and gender have been analyzed; and different cardiac diseases are detected through Wavelet Transform.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Electrocardiography is one of the most important tools used for the diagnosis of heart diseases. The heart is a vital organ of the body that forms a pump to circulate blood throughout blood vessels in the body. Electrocardiogram (ECG) signal of a person symbolizes the heart' s electrical activity recorded by placing electrodes on his body surface. ECG signal also provides essential information about the proper functioning of the heart and rate & regularity of the heart beats. There are certain irregularities present in ECG signal due to abnormal activity of the heart which are termed as Arrhythmia. Hence it becomes imperative to properly analyze the ECG signal. However, it is very difficult to analyze ECG signal being of non-stationary nature. A lot of research has been done for analysis and detection of ECG signal. Nevertheless, Wavelet Transform analysis proves to be better method than other methods as it breaks a signal into shifted and scaled version of original wavelet and consumes less computation time. In this study, a number of ECG signal samples varying in age and gender have been analyzed; and different cardiac diseases are detected through Wavelet Transform.