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Printing and Signing ECG Leads in PDF files | Lutfun Nahar Shorna | Taschenbuch | 72 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847326304 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de ref. del artículo 106128523
This study is focused on Printing and Signing ECG (Electrocardiograph) Leads in PDF files.The most widely used signal in clinical practice is the ECG. ECG conveys information regarding the electrical function of the heart, by altering the shape of its constituent waves, namely the P, QRS, and T waves. In the first part describes the ECG pattern recognition and their classification using non-linear transformations and neural networks. Second part of the study consists of ECG Data processing and Recording System. This study is oriented towards printing and signing ECG signal in Portable Document Format (PDF) owing to its importance, because it is a file format used to represent documents in a manner independent of application software, hardware, and operating systems.In the results and discussion section requirements and the constraints that characterized the work development are presented, together with the design issues encountered and the solutions adopted. Finally java development tools have been used to enable signing ECG leads on PDF file.
Reseña del editor: This study is focused on Printing and Signing ECG (Electrocardiograph) Leads in PDF files.The most widely used signal in clinical practice is the ECG. ECG conveys information regarding the electrical function of the heart, by altering the shape of its constituent waves, namely the P, QRS, and T waves. In the first part describes the ECG pattern recognition and their classification using non-linear transformations and neural networks. Second part of the study consists of ECG Data processing and Recording System. This study is oriented towards printing and signing ECG signal in Portable Document Format (PDF) owing to its importance, because it is a file format used to represent documents in a manner independent of application software, hardware, and operating systems.In the results and discussion section requirements and the constraints that characterized the work development are presented, together with the design issues encountered and the solutions adopted. Finally java development tools have been used to enable signing ECG leads on PDF file.
Título: Printing and Signing ECG Leads in PDF files
Editorial: LAP LAMBERT Academic Publishing
Año de publicación: 2012
Encuadernación: Taschenbuch
Condición: Neu
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shorna Lutfun Nahar##Educational Qualifications## ## Master of Computing System Engineering, Politecnico di Milano, Italy,## ## Bachelor of Computer Science & Engineering (Telecommunications), IBAIS University,Dhaka,Bangladesh.##. Nº de ref. del artículo: 5510252
Cantidad disponible: Más de 20 disponibles
Librería: Redux Books, Grand Rapids, MI, Estados Unidos de America
Paperback. Condición: As New. Paperback. Cover shows very minor shelving wear, otherwise an unblemished copy.; 100% Satisfaction Guaranteed! Ships same or next business day! Nº de ref. del artículo: 132112090025
Cantidad disponible: 1 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This study is focused on Printing and Signing ECG (Electrocardiograph) Leads in PDF files.The most widely used signal in clinical practice is the ECG. ECG conveys information regarding the electrical function of the heart, by altering the shape of its constituent waves, namely the P, QRS, and T waves. In the first part describes the ECG pattern recognition and their classification using non-linear transformations and neural networks. Second part of the study consists of ECG Data processing and Recording System. This study is oriented towards printing and signing ECG signal in Portable Document Format (PDF) owing to its importance, because it is a file format used to represent documents in a manner independent of application software, hardware, and operating systems.In the results and discussion section requirements and the constraints that characterized the work development are presented, together with the design issues encountered and the solutions adopted. Finally java development tools have been used to enable signing ECG leads on PDF file. 72 pp. Englisch. Nº de ref. del artículo: 9783847326304
Cantidad disponible: 2 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This study is focused on Printing and Signing ECG (Electrocardiograph) Leads in PDF files.The most widely used signal in clinical practice is the ECG. ECG conveys information regarding the electrical function of the heart, by altering the shape of its constituent waves, namely the P, QRS, and T waves. In the first part describes the ECG pattern recognition and their classification using non-linear transformations and neural networks. Second part of the study consists of ECG Data processing and Recording System. This study is oriented towards printing and signing ECG signal in Portable Document Format (PDF) owing to its importance, because it is a file format used to represent documents in a manner independent of application software, hardware, and operating systems.In the results and discussion section requirements and the constraints that characterized the work development are presented, together with the design issues encountered and the solutions adopted. Finally java development tools have been used to enable signing ECG leads on PDF file.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Nº de ref. del artículo: 9783847326304
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study is focused on Printing and Signing ECG (Electrocardiograph) Leads in PDF files.The most widely used signal in clinical practice is the ECG. ECG conveys information regarding the electrical function of the heart, by altering the shape of its constituent waves, namely the P, QRS, and T waves. In the first part describes the ECG pattern recognition and their classification using non-linear transformations and neural networks. Second part of the study consists of ECG Data processing and Recording System. This study is oriented towards printing and signing ECG signal in Portable Document Format (PDF) owing to its importance, because it is a file format used to represent documents in a manner independent of application software, hardware, and operating systems.In the results and discussion section requirements and the constraints that characterized the work development are presented, together with the design issues encountered and the solutions adopted. Finally java development tools have been used to enable signing ECG leads on PDF file. Nº de ref. del artículo: 9783847326304
Cantidad disponible: 1 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 72 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Nº de ref. del artículo: 131695175
Cantidad disponible: 4 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 72. Nº de ref. del artículo: 26128859544
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 72. Nº de ref. del artículo: 18128859538
Cantidad disponible: 4 disponibles