Next Generation Healthcare System & Logistics | Enterprise Healthcare System & IoTs, Big Data Science & Cloud Computing

Ugochukwu O. Matthew (u. a.)

ISBN 10: 6202670851 / ISBN 13: 9786202670852

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

Next Generation Healthcare System & Logistics | Enterprise Healthcare System & IoTs, Big Data Science & Cloud Computing | Ugochukwu O. Matthew (u. a.) | Taschenbuch | 76 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202670852 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 125856656

Bibliographic Details

• Title: Next Generation Healthcare System & Logistics | Enterprise Healthcare System & IoTs, Big Data Science & Cloud Computing
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6202670851
• ISBN 13: 9786202670852
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 131 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The greatest achievement of Machine to Machine interactions, Machine to Human interactions, Human to Machine interactions and IoTs Technology is the smart services and capability to perform operations from any Internet Of Things device (PC connected to the internet, Smartphone, Tablet, PDAs etc) in responding to Healthcare scenario. The process of technological development gains momentum from the ability to combine and modify existing technology. In industry 4.0 , several branches of digital technologies were brought together to be combined for digital computing. The ICT idea emerged from the convergence of the computing and telecommunications technologies and several other innovative technologies. The technological convergence of several Smart and Intelligent technologies were configured to achieve effective Mobile Healthcare system monitoring. The Body Area Network (BAN) otherwise regarded as Smart Wearable computing, emerged from the convergence of Computing Science and Sensors Network infrastructure which enabled the use of innovative smart biomedical Sensors Networks for remote diagnosis, treatment and continuous monitoring of patients’ health conditions.