Lutfun Nahar Shorna (8 results)

Paperback. Condition: As New. Paperback. Cover shows very minor shelving wear, otherwise an unblemished copy.; 100% Satisfaction Guaranteed! Ships same or next business day!

Condition: New. pp. 72.

Taschenbuch. Condition: 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.

Condition: 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.

Condition: New. PRINT ON DEMAND pp. 72.

Condition: 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.##.

Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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.