Remote Powering and Data Communication for Implanted Biomedical Systems / by Enver Gurhan Kilinc, Catherine Dehollain, Franco Maloberti
By: Kilinc, Enver Gurhan
Contributor(s): SpringerLink (Online service)
| Dehollain, Catherine
| Maloberti, Franco
Material type:
E-bookSeries: (Analog Circuits and Signal Processing, 1872-082X; 131).Publisher: Cham : Springer International Publishing, 2016Edition: 1st ed.Description: 1 recurso en línea (X, 146 páginas) : 126 ilustraciones, 116 ilustraciones en color.ISBN: 9783319211794.Subject: Circuitos electrónicos
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | RD132 .K555 2016 EB (Browse shelf(Opens below)) | .i11584610 | Acceso electrónico | eBOOK .i11584610 |
Introduction -- Remote Powering -- Magnetic power transfer -- Power management -- Data Communication -- Implantable Monitor Systems -- System Integration and Packaging.
This book describes new circuits and systems for implantable biomedical applications and explains the design of a batteryless, remotely-powered implantable micro-system, designed for long-term patient monitoring.� Following new trends in implantable biomedical applications, the authors demonstrate a system which is capable of efficient, remote powering and reliable data communication.� Novel architecture and design methodologies are used to transfer power with a low-power, optimized inductive link and data is transmitted by a reliable communication link.� Additionally, an electro-mechanical solution is presented for tracking and monitoring the implantable system, while the patient is mobile. �·�������� Describes practical example of an implantable batteryless biomedical system; ·�������� Analyzes and compares various energy harvesting and power transfer methods; ·�������� Describes design of remote powering link and data communication of the implantable system, comparing different scenarios for the optimal solution.
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