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Using Neural Networks for the Recognition of Cardiac ECG Signals: Neural networks and ECG recognition - Ali Isin, Dogan Ibrahim
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Ali Isin, Dogan Ibrahim:
Using Neural Networks for the Recognition of Cardiac ECG Signals: Neural networks and ECG recognition - Taschenbuch

2013, ISBN: 3659391646

Paperback, [EAN: 9783659391644], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], 2013-05-06, LAP LAMBERT Academic Publishing, An electrocardiogram (ECG) is a bioelectrical signal which records the heart’s electrical activity versus time. It is an important diagnostic tool for assessing heart functions. In this book, pattern recognition techniques are used for the interpretation of an ECG signal. The techniques used in this pattern recognition application are, signal pre-processing, QRS detection, feature extraction and artificial neural network for signal and cardiac condition (healthy or a certain disease) classification. In this book, the signal processing and neural network toolbox are used in Matlab environment. The processed signal source came from the Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmia database which was developed for research in cardiac electrophysiology. Three conditions of ECG waveform were selected from MIT-BIH database in this book. The ECG samples were pre-processed, then features representing the each sample were extracted to produce a set of features that can be used in a neural network to make the classification of samples and the recognition rates were recorded. The book is focused on finding an easy but reliable feature extraction met, 173514, Medical Books, 227560, Administration & Medicine Economics, 227571, Allied Health Professions, 227191, Basic Sciences, 227604, Dentistry, 3559244011, History, 266181, Medical Informatics, 265542, Medicine, 227640, Nursing, 265544, Pharmacology, 6511980011, Psychology, 227677, Research, 227719, Veterinary Medicine, 1000, Subjects, 283155, Books

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Using Neural Networks for the Recognition of Cardiac ECG Signals: Neural networks and ECG recognition - Ali Isin, Dogan Ibrahim
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Ali Isin, Dogan Ibrahim:
Using Neural Networks for the Recognition of Cardiac ECG Signals: Neural networks and ECG recognition - Taschenbuch

2013, ISBN: 3659391646

Paperback, [EAN: 9783659391644], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], 2013-05-06, LAP LAMBERT Academic Publishing, 270767, Medical & Healthcare Practitioners, 270768, Ancillary Services, 270792, Basic Medical Science, 276871, Encyclopaedias, 270842, Internal Medicine, 270893, Nursing, 270906, Other Branches of Medicine, 270952, Surgery, 74, Health, Family & Lifestyle, 1025612, Subjects, 266239, Books, 922532, Medicine, 270792, Basic Science, 922534, Dentistry, 922610, Diseases & Disorders, 922810, Education, 922556, Hospital Administration & Management, 922558, Medical Ethics & Legal Issues, 922560, Medical Research & Equipment, 922572, Medical Sciences A-Z, 270781, Midwifery, 922778, Nursing, 922802, Optometry, 922804, Pharmacy, 922806, Physiotherapy, 922808, Reference, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564356, Medicine & Nursing, 270792, Basic Medical Science, 13393701, Exams, 13393791, Study & Revision Guides, 571382, Medical Sciences A-Z, 270915, Dentistry, 571476, Midwifery, 571456, Nursing, 573568, Pharmacy, 573564, Physiotherapy, 571478, First Aid & Paramedical Services, 571280, Medical Research & Equipment, 573664, Reference, 270830, History, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

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Using Neural Networks for the Recognition of Cardiac ECG Signals - Ali Isin
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Ali Isin:
Using Neural Networks for the Recognition of Cardiac ECG Signals - Taschenbuch

2013, ISBN: 3659391646

ID: 10131009838

[EAN: 9783659391644], Neubuch, [PU: LAP Lambert Academic Publishing Mai 2013], This item is printed on demand - Print on Demand Titel. Neuware - An electrocardiogram (ECG) is a bioelectrical signal which records the heart s electrical activity versus time. It is an important diagnostic tool for assessing heart functions. In this book, pattern recognition techniques are used for the interpretation of an ECG signal. The techniques used in this pattern recognition application are, signal pre-processing, QRS detection, feature extraction and artificial neural network for signal and cardiac condition (healthy or a certain disease) classification. In this book, the signal processing and neural network toolbox are used in Matlab environment. The processed signal source came from the Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmia database which was developed for research in cardiac electrophysiology. Three conditions of ECG waveform were selected from MIT-BIH database in this book. The ECG samples were pre-processed, then features representing the each sample were extracted to produce a set of features that can be used in a neural network to make the classification of samples and the recognition rates were recorded. The book is focused on finding an easy but reliable feature extraction method. 100 pp. Englisch

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Using Neural Networks for the Recognition of Cardiac ECG Signals - Dogan Ibrahim#Ali Isin
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Dogan Ibrahim#Ali Isin:
Using Neural Networks for the Recognition of Cardiac ECG Signals - neues Buch

ISBN: 9783659391644

ID: 05afa1b4ce4b4b3c7b736bf69778026e

Neural networks and ECG recognition An electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity versus time. It is an important diagnostic tool for assessing heart functions. In this book, pattern recognition techniques are used for the interpretation of an ECG signal. The techniques used in this pattern recognition application are, signal pre-processing, QRS detection, feature extraction and artificial neural network for signal and cardiac condition (healthy or a certain disease) classification. In this book, the signal processing and neural network toolbox are used in Matlab environment. The processed signal source came from the Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmia database which was developed for research in cardiac electrophysiology. Three conditions of ECG waveform were selected from MIT-BIH database in this book. The ECG samples were pre-processed, then features representing the each sample were extracted to produce a set of features that can be used in a neural network to make the classification of samples and the recognition rates were recorded. The book is focused on finding an easy but reliable feature extraction method. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-659-39164-4, LAP Lambert Academic Publishing

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Using Neural Networks for the Recognition of Cardiac ECG Signals - Isin Ali
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Isin Ali:
Using Neural Networks for the Recognition of Cardiac ECG Signals - Taschenbuch

ISBN: 9783659391644

Paperback, [PU: LAP Lambert Academic Publishing], An electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity versus time. It is an important diagnostic tool for assessing heart functions. In this book, pattern recognition techniques are used for the interpretation of an ECG signal. The techniques used in this pattern recognition application are, signal pre-processing, QRS detection, feature extraction and artificial neural network for signal and cardiac condition (healthy or a certain disease) classification. In this book, the signal processing and neural network toolbox are used in Matlab environment. The processed signal source came from the Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmia database which was developed for research in cardiac electrophysiology. Three conditions of ECG waveform were selected from MIT-BIH database in this book. The ECG samples were pre-processed, then features representing the each sample were extracted to produce a set of features that can be used in a neural network to make the classification of samples and the recognition rates were recorded. The book is focused on finding an easy but reliable feature extraction method., Medicine

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Using Neural Networks for the Recognition of Cardiac ECG Signals: Neural networks and ECG recognition

An electrocardiogram (ECG) is a bioelectrical signal which records the heart’s electrical activity versus time. It is an important diagnostic tool for assessing heart functions. In this book, pattern recognition techniques are used for the interpretation of an ECG signal. The techniques used in this pattern recognition application are, signal pre-processing, QRS detection, feature extraction and artificial neural network for signal and cardiac condition (healthy or a certain disease) classification. In this book, the signal processing and neural network toolbox are used in Matlab environment. The processed signal source came from the Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmia database which was developed for research in cardiac electrophysiology. Three conditions of ECG waveform were selected from MIT-BIH database in this book. The ECG samples were pre-processed, then features representing the each sample were extracted to produce a set of features that can be used in a neural network to make the classification of samples and the recognition rates were recorded. The book is focused on finding an easy but reliable feature extraction met

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EAN (ISBN-13): 9783659391644
ISBN (ISBN-10): 3659391646
Taschenbuch
Erscheinungsjahr: 2013
Herausgeber: Lap Lambert Academic Publishing Mai 2013

Buch in der Datenbank seit 16.07.2014 15:49:04
Buch zuletzt gefunden am 11.08.2017 08:43:51
ISBN/EAN: 9783659391644

ISBN - alternative Schreibweisen:
3-659-39164-6, 978-3-659-39164-4


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