Advanced Sensing and Image Processing Techniques for Healthcare Applications |
Autore | Abolghasemi Vahid |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (258 p.) |
Soggetto topico |
Information technology industries
Computer science |
Soggetto non controllato |
tremor
essential tremor ataxia finger–nose–finger test H&E decellularization liver tissue engineering semantic segmentation convolutional neural networks segmentation lung CT image U-Net ResNet-34 BConvLSTM magnetic resonance images brain tissue segmentation multi-scale feature learning multi-branch pooling multi-branch dense prediction multi-branch output delay-and-sum (DAS) delay-multiply-and-sum (DMAS) signal coherence power doppler detection plane-wave (PW) imaging complementary subset transmit (CST) coherent plane-wave compounding (CPWC) robotic cell manipulation mechanical properties elasticity measurement viscosity measurement cell mechanics hemoglobin sensor bladder irrigation monitor absorption near infrared artificial intelligence bubble detection exercise EEG EMG ECG brain activity age exercise habit tinnitus auditory discrimination therapy EEG evaluation event-related synchronization event-related desynchronization convolutional neural network image registration cycle constraint multimodal features self-supervision rigid alignment magnetic resonance fingerprinting echo-planar imaging T1 and T2* relaxation times denoising convolutional neural network self-attention feature pyramid network image processing object detection blind braille system 3D body shapes body weights and measures postpartum period pregnancy period anthropometry machine learning vital sign invasive blood pressure feature engineering hypotension arterial hypotension |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566486403321 |
Abolghasemi Vahid
![]() |
||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Using Information and Communication Technologies (ICT) for Mental Health Prevention and Treatment |
Autore | Fonseca Ana |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (312 p.) |
Soggetto topico | Psychology |
Soggetto non controllato |
information and communication technologies
outcome monitoring therapist feedback measurement-based care mental health pregnancy personality depression adjustment social support dating apps Tinder Grindr Big Five Dark Core university students nonprofessional caregiver prevention cognitive behavioral telephone app web-based intervention be a mom randomized controlled trial positive mental health flourishing postpartum period usability speech interfaces cognitive impairment ICT elderly cognitive decline emotional disorders transdiagnostic online group format unified protocol bariatric surgery obesity therapeutic alliance online interventions therapeutic outcomes satisfaction with the treatment chronic pain smartphone app telemonitoring ecological momentary assessment digital information and communication technologies psychological counseling therapy COVID-19 coronavirus SARS-CoV-2 digital literacy web-based interventions internalizing symptoms depressive symptoms adolescents primary care internet-based intervention positive affect iUP-A i-CBT AMTE anxiety online therapy postpartum depression cognitive-behavioral therapy blended treatment Be a Mom study protocol psychological capital intervention online self-learning job satisfaction turnover intention job embeddedness cost-effectiveness maternal depression referral recruitment mobile intervention clinical trials |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Using Information and Communication Technologies |
Record Nr. | UNINA-9910557117003321 |
Fonseca Ana
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|