TY - BOOK ID - 136382222 TI - Sensing and Signal Processing in Smart Healthcare AU - Zhao, Wenbing AU - Sampalli, Srinivas PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - smart homes KW - Internet of Things (IoT) KW - Wi-Fi KW - human monitoring KW - behavioral analysis KW - ambient assisted living KW - intelligent luminaires KW - wireless sensor network KW - indoor localisation KW - indoor monitoring KW - Graphics Processing Units (GPUs) KW - CUDA KW - OpenMP KW - OpenCL KW - K-means KW - brain cancer detection KW - hyperspectral imaging KW - unsupervised clustering KW - impaired sensor KW - Structural Health Monitoring KW - Time of Flight KW - subharmonics KW - Cascaded-Integrator-Comb (CIC) filter KW - FPGA KW - fixed point math KW - data adaptive demodulator KW - motion estimation KW - inertial sensors KW - simulation KW - spline function KW - Kalman filter KW - eHealth KW - software engineering KW - gesture recognition KW - Dynamic Time Warping KW - Hidden Markov Model KW - usability KW - Cramér–Rao lower bound (CRLB) KW - human motion KW - Inertial Measurement Unit (IMU) KW - Time of Arrival (TOA) KW - wearable sensors KW - endothelial dysfunction KW - photoplethysmography KW - machine learning KW - computer-assisted screening KW - sleep pose recognition KW - keypoints feature matching KW - Bayesian inference KW - near-infrared images KW - scale invariant feature transform KW - heartbeat classification KW - arrhythmia KW - denoising autoencoder KW - autoencoder KW - deep learning KW - auditory perception KW - biometrics KW - computer vision KW - web control access KW - web security KW - human–computer interaction KW - n/a KW - Cramér-Rao lower bound (CRLB) KW - human-computer interaction UR - https://www.unicat.be/uniCat?func=search&query=sysid:136382222 AB - In 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. ER -