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dc.contributor.editorde Fátima Domingues, Maria
dc.contributor.editorSciarrone, Andrea
dc.contributor.editorRadwan, Ayman
dc.date.accessioned2022-03-21T16:27:02Z
dc.date.available2022-03-21T16:27:02Z
dc.date.issued2022
dc.identifierONIX_20220321_9783036528120_18
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/79582
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
dc.subject.otherfog computing
dc.subject.othercloud computing
dc.subject.othere-health
dc.subject.otherhealthcare
dc.subject.otherInternet of Things
dc.subject.otherpaddle stroke analysis
dc.subject.othermotion reconstruction
dc.subject.otherinertial sensor
dc.subject.otherdata fusion
dc.subject.otherbody sensor network
dc.subject.othergait analysis
dc.subject.othergyroscope
dc.subject.otherinformation fusion
dc.subject.otherhidden Markov model
dc.subject.otherhuman activity recognition
dc.subject.otherout of distribution
dc.subject.otheranomaly detection
dc.subject.otheropen set classification
dc.subject.otherphysiotherapy
dc.subject.otherinertial sensors
dc.subject.othersmart watch
dc.subject.otherrehabilitation
dc.subject.othermachine learning
dc.subject.otherCOPD
dc.subject.otherwearable sensors
dc.subject.otherSenseWear Armband
dc.subject.otherphysical activity
dc.subject.otherweekday-to-weekend
dc.subject.otherenergy expenditure
dc.subject.otherstress
dc.subject.otherwearable device
dc.subject.otherheart rate variability
dc.subject.otherelectrocardiogram
dc.subject.otherscapula neuromuscular activity and control
dc.subject.otherrotator cuff related pain syndrome
dc.subject.otheranterior shoulder instability
dc.subject.otherscapular dyskinesis
dc.subject.otherelectromyographic biofeedback
dc.subject.othercardio-respiratory monitoring
dc.subject.otherwearable system
dc.subject.othersmart textile
dc.subject.otherIMU
dc.subject.otherrespiratory rate
dc.subject.otherheart rate
dc.subject.otheraccelerometers
dc.subject.otherBland–Altman plots
dc.subject.othergait speed
dc.subject.otherinterclass correlation coefficient
dc.subject.otherlow frequency extension filter
dc.subject.otherStepwatch
dc.subject.othersmart walker
dc.subject.otherobstacle detection
dc.subject.otheraging
dc.subject.othern/a
dc.titleWearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-2813-7
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036528120
oapen.relation.isbn9783036528137
oapen.pages204
oapen.place.publicationBasel


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