Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures
The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies wh...
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| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| 主題: | |
| オンライン･アクセス: | ONIX_20220321_9783036528120_18 |
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| _version_ | 1869524049357438976 |
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| collection | Directory of Open Access Books |
| description | The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy. |
| format | Online |
| id | doab-20.500.12854ir-79582 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-795822024-04-09T23:16:10Z Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures de Fátima Domingues, Maria Sciarrone, Andrea Radwan, Ayman fog computing cloud computing e-health healthcare Internet of Things paddle stroke analysis motion reconstruction inertial sensor data fusion body sensor network gait analysis gyroscope information fusion hidden Markov model human activity recognition out of distribution anomaly detection open set classification physiotherapy inertial sensors smart watch rehabilitation machine learning COPD wearable sensors SenseWear Armband physical activity weekday-to-weekend energy expenditure stress wearable device heart rate variability electrocardiogram scapula neuromuscular activity and control rotator cuff related pain syndrome anterior shoulder instability scapular dyskinesis electromyographic biofeedback cardio-respiratory monitoring wearable system smart textile IMU respiratory rate heart rate accelerometers Bland–Altman plots gait speed interclass correlation coefficient low frequency extension filter Stepwatch smart walker obstacle detection aging n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy. 2022-03-21T16:27:02Z 2022-03-21T16:27:02Z 2022 book ONIX_20220321_9783036528120_18 9783036528120 9783036528137 https://directory.doabooks.org/handle/20.500.12854/79582 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4962 https://mdpi.com/books/pdfview/book/4962 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2813-7 10.3390/books978-3-0365-2813-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036528120 9783036528137 204 Basel open access |
| spellingShingle | fog computing cloud computing e-health healthcare Internet of Things paddle stroke analysis motion reconstruction inertial sensor data fusion body sensor network gait analysis gyroscope information fusion hidden Markov model human activity recognition out of distribution anomaly detection open set classification physiotherapy inertial sensors smart watch rehabilitation machine learning COPD wearable sensors SenseWear Armband physical activity weekday-to-weekend energy expenditure stress wearable device heart rate variability electrocardiogram scapula neuromuscular activity and control rotator cuff related pain syndrome anterior shoulder instability scapular dyskinesis electromyographic biofeedback cardio-respiratory monitoring wearable system smart textile IMU respiratory rate heart rate accelerometers Bland–Altman plots gait speed interclass correlation coefficient low frequency extension filter Stepwatch smart walker obstacle detection aging n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
| title | Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
| title_full | Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
| title_fullStr | Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
| title_full_unstemmed | Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
| title_short | Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
| title_sort | wearable and ban sensors for physical rehabilitation and ehealth architectures |
| topic | fog computing cloud computing e-health healthcare Internet of Things paddle stroke analysis motion reconstruction inertial sensor data fusion body sensor network gait analysis gyroscope information fusion hidden Markov model human activity recognition out of distribution anomaly detection open set classification physiotherapy inertial sensors smart watch rehabilitation machine learning COPD wearable sensors SenseWear Armband physical activity weekday-to-weekend energy expenditure stress wearable device heart rate variability electrocardiogram scapula neuromuscular activity and control rotator cuff related pain syndrome anterior shoulder instability scapular dyskinesis electromyographic biofeedback cardio-respiratory monitoring wearable system smart textile IMU respiratory rate heart rate accelerometers Bland–Altman plots gait speed interclass correlation coefficient low frequency extension filter Stepwatch smart walker obstacle detection aging n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | fog computing cloud computing e-health healthcare Internet of Things paddle stroke analysis motion reconstruction inertial sensor data fusion body sensor network gait analysis gyroscope information fusion hidden Markov model human activity recognition out of distribution anomaly detection open set classification physiotherapy inertial sensors smart watch rehabilitation machine learning COPD wearable sensors SenseWear Armband physical activity weekday-to-weekend energy expenditure stress wearable device heart rate variability electrocardiogram scapula neuromuscular activity and control rotator cuff related pain syndrome anterior shoulder instability scapular dyskinesis electromyographic biofeedback cardio-respiratory monitoring wearable system smart textile IMU respiratory rate heart rate accelerometers Bland–Altman plots gait speed interclass correlation coefficient low frequency extension filter Stepwatch smart walker obstacle detection aging n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20220321_9783036528120_18 |