Wearable Electronics and Embedded Computing Systems
Wearable electronics and embedded computing systems have been receiving a great deal of interest over the last two decades in research and commercial fields, with a special focus on biomedical applications. The key benefits introduced by these systems include their small size, lightweight, low-power...
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| Auteurs principaux: | , |
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| Format: | Online |
| Langue: | anglais |
| Publié: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Sujets: | |
| Accès en ligne: | 21950 |
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| _version_ | 1869521331523944448 |
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| author | Gaetano Valenza Enzo Pasquale Scilingo |
| author_browse | Enzo Pasquale Scilingo Gaetano Valenza |
| author_facet | Gaetano Valenza Enzo Pasquale Scilingo |
| author_sort | Gaetano Valenza |
| collection | Directory of Open Access Books |
| description | Wearable electronics and embedded computing systems have been receiving a great deal of interest over the last two decades in research and commercial fields, with a special focus on biomedical applications. The key benefits introduced by these systems include their small size, lightweight, low-power consumption, and, of course, wearability. Major human-centered applications are related to medicine, enabling outpatient care and enhancing the quality of life for chronic disease patients, maybe preventing unnecessary hospitalization. These technological devices can indeed be cost effective and provide doctors with more accurate and reliable data. Exemplary engineering input has focused on developing innovative sensing platforms, adaptable to different environments and user needs, smart textile technology, miniaturized electronics and sensors, energy harvesting, wireless body area networks, and so on. This has provided the possibility of gathering information on several activities, such as during daily activities or sleep, during specific tasks, at home, in the lab, and in the clinic, in the form of physiological signals. This book includes cutting-edge research articles, as well as reviews describing and assessing wearable devices, or proposing novel wearable sensors, computational efficient algorithms for physiological signal processing through embedded computing, collection of environmental/behavioral/psychological data, data fusion, detection and quantification of symptoms, decision support for medical doctors, and communication between patient and doctor. |
| format | Online |
| id | doab-20.500.12854ir-62547 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-625472024-04-05T12:32:39Z Wearable Electronics and Embedded Computing Systems Gaetano Valenza Enzo Pasquale Scilingo QH301-705.5 RC31-1245 QA1-939 electronics human-computer interaction haptics signal processing Wearable systems monitoring biomedical sensors biomedical signal physiological data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Wearable electronics and embedded computing systems have been receiving a great deal of interest over the last two decades in research and commercial fields, with a special focus on biomedical applications. The key benefits introduced by these systems include their small size, lightweight, low-power consumption, and, of course, wearability. Major human-centered applications are related to medicine, enabling outpatient care and enhancing the quality of life for chronic disease patients, maybe preventing unnecessary hospitalization. These technological devices can indeed be cost effective and provide doctors with more accurate and reliable data. Exemplary engineering input has focused on developing innovative sensing platforms, adaptable to different environments and user needs, smart textile technology, miniaturized electronics and sensors, energy harvesting, wireless body area networks, and so on. This has provided the possibility of gathering information on several activities, such as during daily activities or sleep, during specific tasks, at home, in the lab, and in the clinic, in the form of physiological signals. This book includes cutting-edge research articles, as well as reviews describing and assessing wearable devices, or proposing novel wearable sensors, computational efficient algorithms for physiological signal processing through embedded computing, collection of environmental/behavioral/psychological data, data fusion, detection and quantification of symptoms, decision support for medical doctors, and communication between patient and doctor. 2021-02-12T08:22:03Z 2021-02-12T08:22:03Z 2017-05-15 08:24:05 2017 book 21950 9783038423867 9783038423874 https://directory.doabooks.org/handle/20.500.12854/62547 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International http://sci.fo/342 http://www.mdpi.com/books/pdfview/book/287 MDPI - Multidisciplinary Digital Publishing Institute 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038423867 9783038423874 XII, 242 open access |
| spellingShingle | QH301-705.5 RC31-1245 QA1-939 electronics human-computer interaction haptics signal processing Wearable systems monitoring biomedical sensors biomedical signal physiological data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Gaetano Valenza Enzo Pasquale Scilingo Wearable Electronics and Embedded Computing Systems |
| title | Wearable Electronics and Embedded Computing Systems |
| title_full | Wearable Electronics and Embedded Computing Systems |
| title_fullStr | Wearable Electronics and Embedded Computing Systems |
| title_full_unstemmed | Wearable Electronics and Embedded Computing Systems |
| title_short | Wearable Electronics and Embedded Computing Systems |
| title_sort | wearable electronics and embedded computing systems |
| topic | QH301-705.5 RC31-1245 QA1-939 electronics human-computer interaction haptics signal processing Wearable systems monitoring biomedical sensors biomedical signal physiological data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | QH301-705.5 RC31-1245 QA1-939 electronics human-computer interaction haptics signal processing Wearable systems monitoring biomedical sensors biomedical signal physiological data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | 21950 |
| work_keys_str_mv | AT gaetanovalenza wearableelectronicsandembeddedcomputingsystems AT enzopasqualescilingo wearableelectronicsandembeddedcomputingsystems |