Sensing and Signal Processing in Smart Healthcare

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...

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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (198 p.)
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spelling Zhao, Wenbing edt
Sensing and Signal Processing in Smart Healthcare
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (198 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
Language bicssc
English language teaching (ELT) bicssc
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
3-0365-0026-X
3-0365-0027-8
Sampalli, Srinivas edt
Zhao, Wenbing oth
Sampalli, Srinivas oth
language English
format eBook
author2 Sampalli, Srinivas
Zhao, Wenbing
Sampalli, Srinivas
author_facet Sampalli, Srinivas
Zhao, Wenbing
Sampalli, Srinivas
author2_variant w z wz
s s ss
author2_role HerausgeberIn
Sonstige
Sonstige
title Sensing and Signal Processing in Smart Healthcare
spellingShingle Sensing and Signal Processing in Smart Healthcare
title_full Sensing and Signal Processing in Smart Healthcare
title_fullStr Sensing and Signal Processing in Smart Healthcare
title_full_unstemmed Sensing and Signal Processing in Smart Healthcare
title_auth Sensing and Signal Processing in Smart Healthcare
title_new Sensing and Signal Processing in Smart Healthcare
title_sort sensing and signal processing in smart healthcare
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (198 p.)
isbn 3-0365-0026-X
3-0365-0027-8
illustrated Not Illustrated
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