The 21st Century has seen dramatic improvements in the miniaturisation of computer systems, both in terms of physical size and levels of power consumption. As such the demand for cheap, portable and low power remote sensor nodes has increased. The possible applications of these devices are as diverse as human imagination. However, the true potential of devices such as these is in long-life instrumentation, and arguably the most beneficial to society is the development of biomedical instrumentation. One of the primary issues with the development of biomedical instrumentation is the impact of noise. Bio-potentials are commonly very low voltages and are easily overwhelmed by noise signals. The removal of these noise signals is typically performed via the use of complex electrical circuits which consume both power, space and resources. This project develops and analyses a method of providing digital filtration of noise from Electro-Cardiograph (ECG) measurements. The digital filter is intended to provide increases in device reliability, reduced manufacturing costs, reduced device size, reduced power consumption and can be implemented either remotely or on-chip.
"Sinopsis" puede pertenecer a otra edición de este libro.
The 21st Century has seen dramatic improvements in the miniaturisation of computer systems, both in terms of physical size and levels of power consumption. As such the demand for cheap, portable and low power remote sensor nodes has increased. The possible applications of these devices are as diverse as human imagination. However, the true potential of devices such as these is in long-life instrumentation, and arguably the most beneficial to society is the development of biomedical instrumentation. One of the primary issues with the development of biomedical instrumentation is the impact of noise. Bio-potentials are commonly very low voltages and are easily overwhelmed by noise signals. The removal of these noise signals is typically performed via the use of complex electrical circuits which consume both power, space and resources. This project develops and analyses a method of providing digital filtration of noise from Electro-Cardiograph (ECG) measurements. The digital filter is intended to provide increases in device reliability, reduced manufacturing costs, reduced device size, reduced power consumption and can be implemented either remotely or on-chip.
Craig Gough was born in Sydney, Australia in 1988. He began studies at the University of Technology Sydney in 2006 and received a Bachelor of Engineering in Computer Systems and a Bachelor of Business in Management. He began work toward a Master of Engineering Studies in Computer Control Systems at the University of Technology Sydney in 2010.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Paperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G3639223314I5N00
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The 21st Century has seen dramatic improvements in the miniaturisation of computer systems, both in terms of physical size and levels of power consumption. As such the demand for cheap, portable and low power remote sensor nodes has increased. The possible applications of these devices are as diverse as human imagination. However, the true potential of devices such as these is in long-life instrumentation, and arguably the most beneficial to society is the development of biomedical instrumentation. One of the primary issues with the development of biomedical instrumentation is the impact of noise. Bio-potentials are commonly very low voltages and are easily overwhelmed by noise signals. The removal of these noise signals is typically performed via the use of complex electrical circuits which consume both power, space and resources. This project develops and analyses a method of providing digital filtration of noise from Electro-Cardiograph (ECG) measurements. The digital filter is intended to provide increases in device reliability, reduced manufacturing costs, reduced device size, reduced power consumption and can be implemented either remotely or on-chip. Nº de ref. del artículo: 9783639223316
Cantidad disponible: 2 disponibles
Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gough CraigCraig Gough was born in Sydney, Australia in 1988. He began studies at the University of Technology Sydney in 2006 and received a Bachelor of Engineering in Computer Systems and a Bachelor of Business in Management. He beg. Nº de ref. del artículo: 4968607
Cantidad disponible: Más de 20 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. The Digitisation of ECG Filtering | For Wireless Medical Sensor Networks | Craig Gough | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639223316 | Verantwortliche Person für die EU: VDM Verlag Dr. Müller, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106912131
Cantidad disponible: 5 disponibles