Advanced Sensing and Image Processing Techniques for Healthcare Applications
Abolghasemi, Vahid (editor)
Anisi, Hossein (editor)
Ferdowsi, Saideh (editor)
This Special Issue aims to attract the latest research and findings in the design, development and experimentation of healthcare-related technologies. This includes, but is not limited to, using novel sensing, imaging, data processing, machine learning, and artificially intelligent devices and algorithms to assist/monitor the elderly, patients, and the disabled population.
Keywordstremor; 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
Webshop linkhttps://mdpi.com/books/pdfview ...
Publication date and placeBasel, 2022
Information technology industries