LEADER 04929nam 2201189z- 450 001 9910557483503321 005 20210501 035 $a(CKB)5400000000042997 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68355 035 $a(oapen)doab68355 035 $a(EXLCZ)995400000000042997 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSensing and Signal Processing in Smart Healthcare 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (198 p.) 311 08$a3-0365-0026-X 311 08$a3-0365-0027-8 330 $aIn the last decade, we have witnessed the rapid development of electronic technologies that are transforming our daily lives. Such technologies are often integrated with various sensors that facilitate the collection of human motion and physiological data and are equipped with wireless communication modules such as Bluetooth, radio frequency identification, and near-field communication. In smart healthcare applications, designing ergonomic and intuitive human-computer interfaces is crucial because a system that is not easy to use will create a huge obstacle to adoption and may significantly reduce the efficacy of the solution. Signal and data processing is another important consideration in smart healthcare applications because it must ensure high accuracy with a high level of confidence in order for the applications to be useful for clinicians in making diagnosis and treatment decisions. This Special Issue is a collection of 10 articles selected from a total of 26 contributions. These contributions span the areas of signal processing and smart healthcare systems mostly contributed by authors from Europe, including Italy, Spain, France, Portugal, Romania, Sweden, and Netherlands. Authors from China, Korea, Taiwan, Indonesia, and Ecuador are also included. 606 $aEnglish$2bicssc 606 $aFor ELT / ESL learning, courses, examinations and certificates$2bicssc 606 $aLanguage and Linguistics$2bicssc 606 $aLanguage teaching and learning$2bicssc 610 $aambient assisted living 610 $aarrhythmia 610 $aauditory perception 610 $aautoencoder 610 $aBayesian inference 610 $abehavioral analysis 610 $abiometrics 610 $abrain cancer detection 610 $aCascaded-Integrator-Comb (CIC) filter 610 $acomputer vision 610 $acomputer-assisted screening 610 $aCrame?r-Rao lower bound (CRLB) 610 $aCUDA 610 $adata adaptive demodulator 610 $adeep learning 610 $adenoising autoencoder 610 $aDynamic Time Warping 610 $aeHealth 610 $aendothelial dysfunction 610 $afixed point math 610 $aFPGA 610 $agesture recognition 610 $aGraphics Processing Units (GPUs) 610 $aheartbeat classification 610 $aHidden Markov Model 610 $ahuman monitoring 610 $ahuman motion 610 $ahuman-computer interaction 610 $ahyperspectral imaging 610 $aimpaired sensor 610 $aindoor localisation 610 $aindoor monitoring 610 $aInertial Measurement Unit (IMU) 610 $ainertial sensors 610 $aintelligent luminaires 610 $aInternet of Things (IoT) 610 $aK-means 610 $aKalman filter 610 $akeypoints feature matching 610 $amachine learning 610 $amotion estimation 610 $an/a 610 $anear-infrared images 610 $aOpenCL 610 $aOpenMP 610 $aphotoplethysmography 610 $ascale invariant feature transform 610 $asimulation 610 $asleep pose recognition 610 $asmart homes 610 $asoftware engineering 610 $aspline function 610 $aStructural Health Monitoring 610 $asubharmonics 610 $aTime of Arrival (TOA) 610 $aTime of Flight 610 $aunsupervised clustering 610 $ausability 610 $awearable sensors 610 $aweb control access 610 $aweb security 610 $aWi-Fi 610 $awireless sensor network 615 7$aEnglish 615 7$aFor ELT / ESL learning, courses, examinations and certificates 615 7$aLanguage and Linguistics 615 7$aLanguage teaching and learning 700 $aZhao$b Wenbing$4edt$0960425 702 $aSampalli$b Srinivas$4edt 702 $aZhao$b Wenbing$4oth 702 $aSampalli$b Srinivas$4oth 906 $aBOOK 912 $a9910557483503321 996 $aSensing and Signal Processing in Smart Healthcare$93030620 997 $aUNINA