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SCIDIR_on1117469253 |
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OCoLC |
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20231120010412.0 |
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m o d |
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190905s2019 enk o 001 0 eng d |
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|a OPELS
|b eng
|e rda
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|c OPELS
|d OCLCF
|d EBLCP
|d UKMGB
|d UAB
|d UKAHL
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|a 1117644168
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|a 9780128193624
|q (electronic book)
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|a 012819362X
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|z 9780128193617
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|z (OCoLC)1117644168
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4 |
|a R857.B54
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| 082 |
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4 |
|a 610.28
|2 23
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| 245 |
0 |
0 |
|a Sensors for health monitoring /
|c volume editors: Nilanjan Dey, Jyotismita Chaki, Rajesh Kumar.
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| 264 |
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1 |
|a London, United Kingdom :
|b Academic Press, an imprint of Elsevier,
|c 2019.
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| 300 |
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|a 1 online resource
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Advances in ubiquitous sensing applications for healthcare ;
|v volume five
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| 500 |
|
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|a Includes index.
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| 588 |
0 |
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|a Online resource; title from PDF title page (ScienceDirect, viewed September 5, 2019).
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| 505 |
0 |
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|a PART I. U-Healthcare Monitoring System using Sensor Networks -- 1. Advanced Processing Techniques and Secure Architecture for Sensor Networks in Ubiquitous Healthcare Systems 2. Wireless Sensor Networks towards convenient infrastructure in Health care industry: A systematic study 3. A Comprehensive Dialogue for U-Body Sensor Network (UBSN) with Experimental Case Study 4. Compressive Sensing in Medical Signal Processing and Imaging Systems -- PART II. Internet of Things for U-Healthcare -- 5. Nanopore Sequencing Technology and Internet of Living Things: A Big Hope for U-Healthcare 6. Internet of Things (IoT) Enabled Virtual Environment for U-Health Monitoring 7. Health status from your body to the cloud: Behavioural relationship between IoT and classification techniques in abnormal situation 8. Intelligent energy efficient healthcare models integrated with IoT and LoRa Network 9. Wearable Fitness Band Based U-Health Monitoring 10. Role of Trust in Ubiquitous Healthcare System: Challenges and Opportunities -- PART III. Applications of Pattern Recognition Algorithms in U-Healthcare</b> 11. PNN based Classification of Retinal Diseases using Fundus Images 12. Performance Comparison Analysis of different classifiers for Early Detection of Knee Osteoarthritis 13. A Comparative Study for Brain Tumor Detection in MRI Images using Texture Features.
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| 650 |
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0 |
|a Biosensors.
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| 650 |
|
0 |
|a Patient monitoring.
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| 650 |
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2 |
|a Biosensing Techniques
|0 (DNLM)D015374
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| 650 |
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2 |
|a Monitoring, Physiologic
|0 (DNLM)D008991
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| 650 |
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6 |
|a Biocapteurs.
|0 (CaQQLa)201-0165323
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| 650 |
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6 |
|a Monitorage (Soins hospitaliers)
|0 (CaQQLa)201-0066992
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| 650 |
|
7 |
|a Biosensors
|2 fast
|0 (OCoLC)fst00832703
|
| 650 |
|
7 |
|a Patient monitoring
|2 fast
|0 (OCoLC)fst01055018
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| 700 |
1 |
|
|a Dey, Nilanjan,
|d 1984-
|e editor.
|
| 700 |
1 |
|
|a Chaki, Jyotismita,
|e editor.
|
| 700 |
1 |
|
|a Kumar, Rajesh,
|e editor.
|
| 776 |
0 |
8 |
|i Print version:
|a Dey, Nilanjan.
|t Sensors for Health Monitoring.
|d San Diego : Elsevier Science & Technology, �2019
|z 9780128193617
|
| 830 |
|
0 |
|a Advances in ubiquitous sensing applications for healthcare ;
|v v. 5.
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128193617
|z Texto completo
|
