Biomedical Sensing and Imaging
This book mainly deals with recent advances in biomedical sensing and imaging. More recently, wearable/smart biosensors and devices, which facilitate diagnostics in a non-clinical setting, have become a hot topic. Combined with machine learning and artificial intelligence, they could revolutionize t...
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| Other Authors: | , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 245 | 1 | 0 | |a Biomedical Sensing and Imaging |
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| 300 | |a 1 electronic resource (126 p.) | ||
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| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a This book mainly deals with recent advances in biomedical sensing and imaging. More recently, wearable/smart biosensors and devices, which facilitate diagnostics in a non-clinical setting, have become a hot topic. Combined with machine learning and artificial intelligence, they could revolutionize the biomedical diagnostic field. The aim of this book is to provide a research forum in biomedical sensing and imaging and extend the scientific frontier of this very important and significant biomedical endeavor. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
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| 653 | |a Maxwell-Wagner effect | ||
| 653 | |a bio-impedance spectroscopy | ||
| 653 | |a multisensory | ||
| 653 | |a electromyography | ||
| 653 | |a pattern recognition | ||
| 653 | |a rehabilitation | ||
| 653 | |a blood coagulation | ||
| 653 | |a image sensing | ||
| 653 | |a image classification | ||
| 653 | |a electrical impedance tomography | ||
| 653 | |a frequency difference | ||
| 653 | |a time difference | ||
| 653 | |a lung imaging | ||
| 653 | |a electromagnetic detection and biosensors | ||
| 653 | |a electromagnetic biological theory | ||
| 653 | |a biomedical application | ||
| 653 | |a frequency | ||
| 653 | |a machine learning | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76981 |7 0 |z DOAB: description of the publication |