Sensing and Signal Processing in Smart Healthcare
Sensing and Signal Processing in Smart Healthcare
English[eng]
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
English[eng]
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