LEADER 04211nam 22006495 450 001 9910544860703321 005 20230223202551.0 010 $a3-030-91181-0 024 7 $a10.1007/978-3-030-91181-2 035 $a(MiAaPQ)EBC6885924 035 $a(Au-PeEL)EBL6885924 035 $a(CKB)21167811300041 035 $a(DE-He213)978-3-030-91181-2 035 $a(PPN)260827886 035 $a(EXLCZ)9921167811300041 100 $a20220210d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntegrating Artificial Intelligence and IoT for Advanced Health Informatics $eAI in the Healthcare Sector /$fedited by Carmela Comito, Agostino Forestiero, Ester Zumpano 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (188 pages) 225 1 $aInternet of Things, Technology, Communications and Computing,$x2199-1081 311 08$aPrint version: Comito, Carmela Integrating Artificial Intelligence and IoT for Advanced Health Informatics Cham : Springer International Publishing AG,c2022 9783030911805 327 $a1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data. 330 $aThe book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing. 410 0$aInternet of Things, Technology, Communications and Computing,$x2199-1081 606 $aTelecommunication 606 $aCooperating objects (Computer systems) 606 $aMedical informatics 606 $aBiomedical engineering 606 $aCommunications Engineering, Networks 606 $aCyber-Physical Systems 606 $aHealth Informatics 606 $aBiomedical Engineering and Bioengineering 615 0$aTelecommunication. 615 0$aCooperating objects (Computer systems) 615 0$aMedical informatics. 615 0$aBiomedical engineering. 615 14$aCommunications Engineering, Networks. 615 24$aCyber-Physical Systems. 615 24$aHealth Informatics. 615 24$aBiomedical Engineering and Bioengineering. 676 $a610.28563 702 $aComito$b Carmela 702 $aForestiero$b Agostino 702 $aZumpano$b Ester 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910544860703321 996 $aIntegrating artificial intelligence and IoT for advanced health informatics$92919041 997 $aUNINA