04597nam 2201033z- 450 991055761170332120231214132927.0(CKB)5400000000045285(oapen)https://directory.doabooks.org/handle/20.500.12854/79582(EXLCZ)99540000000004528520202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierWearable and BAN Sensors for Physical Rehabilitation and eHealth ArchitecturesBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (204 p.)3-0365-2812-1 3-0365-2813-X 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.Technology: general issuesbicsscHistory of engineering & technologybicsscfog computingcloud computinge-healthhealthcareInternet of Thingspaddle stroke analysismotion reconstructioninertial sensordata fusionbody sensor networkgait analysisgyroscopeinformation fusionhidden Markov modelhuman activity recognitionout of distributionanomaly detectionopen set classificationphysiotherapyinertial sensorssmart watchrehabilitationmachine learningCOPDwearable sensorsSenseWear Armbandphysical activityweekday-to-weekendenergy expenditurestresswearable deviceheart rate variabilityelectrocardiogramscapula neuromuscular activity and controlrotator cuff related pain syndromeanterior shoulder instabilityscapular dyskinesiselectromyographic biofeedbackcardio-respiratory monitoringwearable systemsmart textileIMUrespiratory rateheart rateaccelerometersBland-Altman plotsgait speedinterclass correlation coefficientlow frequency extension filterStepwatchsmart walkerobstacle detectionagingTechnology: general issuesHistory of engineering & technologyde Fátima Domingues Mariaedt1304467Sciarrone AndreaedtRadwan Aymanedtde Fátima Domingues MariaothSciarrone AndreaothRadwan AymanothBOOK9910557611703321Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures3027449UNINA