Sensing and Signal Processing in Smart Healthcare

• Eará dahkkit: Zhao, Wenbing (Doaimmaheaddji), Sampalli, Srinivas (Doaimmaheaddji)
• Materiálatiipa: Elektrovnnalaš Girjji oassi
• Giella: eaŋgalasgiella
• Almmustuhtton: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Fáttát: Language; English language teaching (ELT); smart homes; Internet of Things (IoT); Wi-Fi; human monitoring; behavioral analysis; ambient assisted living; intelligent luminaires; wireless sensor network; indoor localisation; indoor monitoring; Graphics Processing Units (GPUs); CUDA; OpenMP; OpenCL; K-means; brain cancer detection; hyperspectral imaging; unsupervised clustering; impaired sensor; Structural Health Monitoring; Time of Flight; subharmonics; Cascaded-Integrator-Comb (CIC) filter; FPGA; fixed point math; data adaptive demodulator; motion estimation; inertial sensors; simulation; spline function; Kalman filter; eHealth; software engineering; gesture recognition; Dynamic Time Warping; Hidden Markov Model; usability; Cramér-Rao lower bound (CRLB); human motion; Inertial Measurement Unit (IMU); Time of Arrival (TOA); wearable sensors; endothelial dysfunction; photoplethysmography; machine learning; computer-assisted screening; sleep pose recognition; keypoints feature matching; Bayesian inference; near-infrared images; scale invariant feature transform; heartbeat classification; arrhythmia; denoising autoencoder; autoencoder; deep learning; auditory perception; biometrics; computer vision; web control access; web security; human-computer interaction; n/a
• Liŋkkat: DOAB: download the publication; DOAB: description of the publication

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...