LEADER 05938nam 2201429z- 450 001 9910580203203321 005 20220706 035 $a(CKB)5690000000012058 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/87511 035 $a(oapen)doab87511 035 $a(EXLCZ)995690000000012058 100 $a20202207d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIntelligent Biosignal Processing in Wearable and Implantable Sensors 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (318 p.) 311 08$a3-0365-4601-4 311 08$a3-0365-4602-2 330 $aThis reprint provides a collection of papers illustrating the state-of-the-art of smart processing of data coming from wearable, implantable or portable sensors. Each paper presents the design, databases used, methodological background, obtained results, and their interpretation for biomedical applications. Revealing examples are brain-machine interfaces for medical rehabilitation, the evaluation of sympathetic nerve activity, a novel automated diagnostic tool based on ECG data to diagnose COVID-19, machine learning-based hypertension risk assessment by means of photoplethysmography and electrocardiography signals, Parkinsonian gait assessment using machine learning tools, thorough analysis of compressive sensing of ECG signals, development of a nanotechnology application for decoding vagus-nerve activity, detection of liver dysfunction using a wearable electronic nose system, prosthetic hand control using surface electromyography, epileptic seizure detection using a CNN, and premature ventricular contraction detection using deep metric learning. Thus, this reprint presents significant clinical applications as well as valuable new research issues, providing current illustrations of this new field of research by addressing the promises, challenges, and hurdles associated with the synergy of biosignal processing and AI through 16 different pertinent studies. Covering a wide range of research and application areas, this book is an excellent resource for researchers, physicians, academics, and PhD or master students working on (bio)signal and image processing, AI, biomaterials, biomechanics, and biotechnology with applications in medicine. 606 $aHistory of engineering and technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aaccelerometer 610 $aannotations 610 $aartificial intelligence 610 $aatrial fibrillation 610 $abeta rebound 610 $abiomedical monitoring 610 $abrain-machine interface 610 $acalibration 610 $acarbon nanotube 610 $acardiac time interval 610 $acell signal enhancement 610 $acell-line analysis 610 $acirrhosis 610 $aclassification models 610 $aclassifications 610 $acompressed sensing 610 $aconvolutional neural network 610 $aconvolutional neural networks 610 $aConvolutional Neural Networks (CNN) 610 $acorrelation 610 $aCOVID-19 610 $adecoding 610 $adeep learning 610 $adeep metric learning 610 $adimensionality reduction 610 $adisease management 610 $adynamic time warping 610 $aECG signal 610 $aECG trace image 610 $aEEG 610 $aEEG classification 610 $aelectrocardiogram 610 $aelectrocardiogram (ECG) 610 $aelectrocardiography 610 $aelectrodes 610 $aelectromyography 610 $aelectronic nose 610 $aepileptic seizure detection 610 $afeature extraction 610 $afeature selection 610 $afiducial point detection 610 $agait analysis 610 $agrasp classification 610 $agrasp phases analysis 610 $aheart failure 610 $aheart rate variability 610 $ahigh blood pressure 610 $ahypertension 610 $aIMU 610 $aintrafascicular 610 $aintraneural 610 $ak-nearest neighbors classifier 610 $aLaplacian eigenmaps 610 $alens-free shadow imaging technique 610 $aliver dysfunction 610 $alocality preserving projections 610 $amachine learning 610 $amotor execution 610 $amotor imagery 610 $amyoelectric prosthesis 610 $an/a 610 $aosteopenia 610 $aParkinson's disease 610 $aphotoplethysmography 610 $aprediction 610 $apremature ventricular contraction 610 $apressure sensor 610 $aprojection matrices 610 $arandom forest 610 $areconstruction dictionaries 610 $arecording 610 $aRISC-V 610 $asarcopenia 610 $aseismocardiography 610 $asEMG 610 $asemiconductor metal oxide gas sensor 610 $asensors 610 $asepsis 610 $aSHAP 610 $asignal classifications 610 $askin sympathetic nerve activity (SKNA) 610 $asympathetic activity (SNA) 610 $atransfer learning 610 $aultra-low-power 610 $avagus nerve 610 $awearable electroencephalography 610 $aXAI 615 7$aHistory of engineering and technology 615 7$aTechnology: general issues 700 $aCostin$b Hariton-Nicolae$4edt$01297581 702 $aSanei$b Saeid$4edt 702 $aCostin$b Hariton-Nicolae$4oth 702 $aSanei$b Saeid$4oth 906 $aBOOK 912 $a9910580203203321 996 $aIntelligent Biosignal Processing in Wearable and Implantable Sensors$93024573 997 $aUNINA