Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health
The Internet of Things (IoT) is becoming increasingly popular in the healthcare domain due to the possibilities offered to monitor patients' health status remotely in real time. Moreover, the integration of IoT with edge intelligence solutions has started to bring further advantages in its use; in f...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Acesso em linha: | ONIX_20250220_9783725826148_357 |
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| _version_ | 1869529039179350016 |
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| collection | Directory of Open Access Books |
| description | The Internet of Things (IoT) is becoming increasingly popular in the healthcare domain due to the possibilities offered to monitor patients' health status remotely in real time. Moreover, the integration of IoT with edge intelligence solutions has started to bring further advantages in its use; in fact, by allowing the devices to locally process and analyze the data, it can make a difference in applications where real-time decision-making or low latency is required. By collecting and analyzing data from multiple sources, these solutions can provide a more complete picture of an individual's health and allow for more personalized and proactive healthcare. This Special Issue aimed at presenting interesting papers focused on the exploitation of the IoT and edge intelligence in the healthcare domain. The included papers cover various topics, such as innovative healthcare architectures to improve patients' conditions; innovations for personalized healthcare; solutions based on real-time decision-making for the healthcare domain; edge intelligent solutions for the early detection of potential health issues; solutions to improve communication and coordination among healthcare professionals in critical scenarios; and innovative healthcare systems for providing prompt reactions and interventions in cases of emergency. |
| format | Online |
| id | doab-20.500.12854ir-152993 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1529932025-02-20T13:23:51Z Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health Sergi, Ilaria Montanaro, Teodoro gait analysis on a treadmill adapter sensor feature-based gait pattern modeling health care BMI (body mass index) fall detection device Personal Emergency Response System older people independent living home care magnetotherapy integral equation formulation induced current density induced electric field biomedical application driving simulator (DS) fatigue evaluation biological information medical sensor potentiostat wearable glucose electrochemical analog front-end circuit PWM-DAC lung cell deep learning machine learning explainability artificial intelligence IMU (Inertial Measurement Unit) gait analysis healthcare internet of things gait pattern recognition person on bed detection sleep pattern accelerometer smart bed clinical engineering business intelligence computerized maintenance management system CMMS work booth linalool (LNL) trans-2-nonenal (T2N) autonomic nervous activity (ANS) psychomotor vigilance level (PVL) thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology The Internet of Things (IoT) is becoming increasingly popular in the healthcare domain due to the possibilities offered to monitor patients' health status remotely in real time. Moreover, the integration of IoT with edge intelligence solutions has started to bring further advantages in its use; in fact, by allowing the devices to locally process and analyze the data, it can make a difference in applications where real-time decision-making or low latency is required. By collecting and analyzing data from multiple sources, these solutions can provide a more complete picture of an individual's health and allow for more personalized and proactive healthcare. This Special Issue aimed at presenting interesting papers focused on the exploitation of the IoT and edge intelligence in the healthcare domain. The included papers cover various topics, such as innovative healthcare architectures to improve patients' conditions; innovations for personalized healthcare; solutions based on real-time decision-making for the healthcare domain; edge intelligent solutions for the early detection of potential health issues; solutions to improve communication and coordination among healthcare professionals in critical scenarios; and innovative healthcare systems for providing prompt reactions and interventions in cases of emergency. 2025-02-20T13:23:49Z 2025-02-20T13:23:49Z 2024 book ONIX_20250220_9783725826148_357 9783725826148 9783725826131 https://directory.doabooks.org/handle/20.500.12854/152993 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10222 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2613-1 10.3390/books978-3-7258-2613-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725826148 9783725826131 168 Basel open access |
| spellingShingle | gait analysis on a treadmill adapter sensor feature-based gait pattern modeling health care BMI (body mass index) fall detection device Personal Emergency Response System older people independent living home care magnetotherapy integral equation formulation induced current density induced electric field biomedical application driving simulator (DS) fatigue evaluation biological information medical sensor potentiostat wearable glucose electrochemical analog front-end circuit PWM-DAC lung cell deep learning machine learning explainability artificial intelligence IMU (Inertial Measurement Unit) gait analysis healthcare internet of things gait pattern recognition person on bed detection sleep pattern accelerometer smart bed clinical engineering business intelligence computerized maintenance management system CMMS work booth linalool (LNL) trans-2-nonenal (T2N) autonomic nervous activity (ANS) psychomotor vigilance level (PVL) thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health |
| title | Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health |
| title_full | Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health |
| title_fullStr | Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health |
| title_full_unstemmed | Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health |
| title_short | Internet of Things, Embedded Solutions, and Edge Intelligence for Smart Health |
| title_sort | internet of things embedded solutions and edge intelligence for smart health |
| topic | gait analysis on a treadmill adapter sensor feature-based gait pattern modeling health care BMI (body mass index) fall detection device Personal Emergency Response System older people independent living home care magnetotherapy integral equation formulation induced current density induced electric field biomedical application driving simulator (DS) fatigue evaluation biological information medical sensor potentiostat wearable glucose electrochemical analog front-end circuit PWM-DAC lung cell deep learning machine learning explainability artificial intelligence IMU (Inertial Measurement Unit) gait analysis healthcare internet of things gait pattern recognition person on bed detection sleep pattern accelerometer smart bed clinical engineering business intelligence computerized maintenance management system CMMS work booth linalool (LNL) trans-2-nonenal (T2N) autonomic nervous activity (ANS) psychomotor vigilance level (PVL) thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | gait analysis on a treadmill adapter sensor feature-based gait pattern modeling health care BMI (body mass index) fall detection device Personal Emergency Response System older people independent living home care magnetotherapy integral equation formulation induced current density induced electric field biomedical application driving simulator (DS) fatigue evaluation biological information medical sensor potentiostat wearable glucose electrochemical analog front-end circuit PWM-DAC lung cell deep learning machine learning explainability artificial intelligence IMU (Inertial Measurement Unit) gait analysis healthcare internet of things gait pattern recognition person on bed detection sleep pattern accelerometer smart bed clinical engineering business intelligence computerized maintenance management system CMMS work booth linalool (LNL) trans-2-nonenal (T2N) autonomic nervous activity (ANS) psychomotor vigilance level (PVL) thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725826148_357 |