The prevalence of smartphone technology and the emergence of wearable devices embedded with body sensors has allowed for services that utilise health data obtained from physiological sensors. When these sensors are converged with IoT devices, there is expected to be an increased demand of health data required, which can cause rapid battery consumption and increased bandwidth usage. It is therefore crucial to save and conserve power consumption. This book provides a novel approach and solution to reduce data transactions and conserve battery usage in personal health devices whilst still allowing for the transfer of crucial data in real-time.
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Dr James Kang is passionate for education and teaches Information Technology in Melbourne, Australia as a Senior Lecturer. His research area is in Health Informatics, Smart environments, Sensor networks and Low Power Wide Area Networks. He has worked in the ICT industry for more than 20 years, and has recently returned from Ethiopia as a volunteer.
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Intelligent Mobile Health Networks | An Inference System Framework for Personal Sensor Devices in Mobile Health and Internet of Things Networks | James Kang | Taschenbuch | 272 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202061605 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 110465527
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 272 pages. 8.66x5.91x0.62 inches. In Stock. Artikel-Nr. zk620206160X
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