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| 008 | 210901s2021 sz | s |||| 0|eng d | ||
| 020 | _a9783030666330 | ||
| 024 | 7 |
_a10.1007/978-3-030-66633-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aR859.7 .I58 _b2021 EB |
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| 245 | 0 | 0 |
_aEfficient Data Handling for Massive Internet of Medical Things : _bHealthcare Data Analytics _cedited by Chinmay Chakraborty, Uttam Ghosh, Vinayakumar Ravi, Yogesh Shelke |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (XIV, 388 páginas) _b100 ilustraciones |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aInternet of Things Technology Communications and Computing _x2199-1081 |
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| 490 | 0 | _aComputer Science (SpringerNature-11645) | |
| 490 | 0 | _aComputer Science (R0) (SpringerNature-43710) | |
| 505 | 0 | _aChapter 1. An Overview of the Internet of Medical Things and its Modern Perspective -- Chapter 2. Big medical data analytics under Internet of Things -- Chapter 3. Big Medical Data Analytics using Sensor Technology -- Chapter 4. Smart Healthcare Technologies for Massive Internet of Medical Things -- Chapter 5. Sensor Informatics of IoT, AR/VR, and MR in Healthcare Applications -- Chapter 6. Body Sensor Networks as emerging trends of technology in health care system: Challenges and Future -- Chapter 7. Smart sensors technologies for Healthcare system -- Chapter 8. Cloud and IoMT-based Big Data Analytics system during COVID-19 pandemic -- Chapter 9. Remote human's health and activities monitoring using wearable sensor based system- a review -- Chapter 10. A Healthcare Resource Management Optimization Framework for ECG Biomedical Sensors -- Chapter 11. Diabetes Detection and Sensor Based Continuous Glucose Monitoring - A Deep Learning Approach -- Chapter 12. 'Sensing the Mind'-An Exploratory Study About Sensors used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition -- Chapter 13. Role of Sensors, Devices and Technology for Detection of COVID-19 Virus -- Chapter 14. Implementation of Internet of Medical Things (IoMT): Clinical and Policy Implications -- Chapter 15. Applicability of Blockchain Technology in Healthcare Industry: Applications, Challenges & Solutions. | |
| 520 | 3 | _aThis book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things. Presents a rigorous introduction to theoretical foundations and practical solutions for Internet of Medical Things; Covers data handling, intelligence and security and related issues to guide the massive data handling techniques for healthcare; Includes examples and case studies for further study for academics, researchers, and professionals. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aInternet en medicina _9676269 |
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| 650 | 7 |
_2embne _9421154 _aInformática médica |
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| 700 | 1 |
_aChakraborty, Chinmay _eeditor literario |
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| 700 | 1 |
_aGhosh, Uttam _eeditor literario |
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| 700 | 1 |
_aRavi, Vinayakumar _eeditor literario |
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| 700 | 1 |
_aShelke, Yogesh _eeditor literario |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-66633-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2022 _dz _eu _zSI |
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