Sensors, Signal and Image Processing in Biomedicine and Assisted Living
This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic syste...
Saved in:
Other Authors: | |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_69253 | ||
005 | 20210501 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20210501s2020 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-03943-419-0 | ||
020 | |a 9783039434183 | ||
020 | |a 9783039434190 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.3390/books978-3-03943-419-0 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a KNTX |2 bicssc | |
100 | 1 | |a Iakovidis, Dimitris |4 edt | |
700 | 1 | |a Iakovidis, Dimitris |4 oth | |
245 | 1 | 0 | |a Sensors, Signal and Image Processing in Biomedicine and Assisted Living |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 electronic resource (312 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Information technology industries |2 bicssc | |
653 | |a high efficiency video coding | ||
653 | |a low complexity | ||
653 | |a hardware friendly | ||
653 | |a vehicular ad-hoc networks | ||
653 | |a color vision deficiency | ||
653 | |a image re-coloring | ||
653 | |a visual assistance | ||
653 | |a video pletysmography | ||
653 | |a image processing | ||
653 | |a heart rate estimation | ||
653 | |a human-computer interaction | ||
653 | |a biomedicine | ||
653 | |a healthcare | ||
653 | |a assisted living | ||
653 | |a action classification | ||
653 | |a human motor behavior | ||
653 | |a computer vision | ||
653 | |a deep learning | ||
653 | |a pose tracking | ||
653 | |a Brain-Computer Interface | ||
653 | |a Blind Source Separation | ||
653 | |a Movement Related Independent Component | ||
653 | |a Wavelet Transform | ||
653 | |a Convolutional Neural Network | ||
653 | |a brain cancer | ||
653 | |a hyperspectral imaging | ||
653 | |a intraoperative imaging | ||
653 | |a feature selection | ||
653 | |a image-guided surgery | ||
653 | |a genetic algorithm | ||
653 | |a particle swarm optimization | ||
653 | |a ant colony optimization | ||
653 | |a support vector machine | ||
653 | |a machine learning | ||
653 | |a visual perception | ||
653 | |a electrocardiogram (ECG) coder | ||
653 | |a non-uniform sampling | ||
653 | |a telecardiology | ||
653 | |a compressed sensing | ||
653 | |a strain gauge | ||
653 | |a tremor quantification | ||
653 | |a Parkinson's disease | ||
653 | |a action tremors | ||
653 | |a wearables | ||
653 | |a biosensors | ||
653 | |a sleep | ||
653 | |a Fitbit | ||
653 | |a Oura | ||
653 | |a Hexoskin | ||
653 | |a Withings | ||
653 | |a cognition | ||
653 | |a medical optics and biotechnology | ||
653 | |a optical pathology | ||
653 | |a convolutional neural networks | ||
653 | |a tissue diagnostics | ||
653 | |a tissue characterization | ||
653 | |a glioblastoma | ||
653 | |a contactless measurement | ||
653 | |a vital signs | ||
653 | |a RGB-thermal image processing | ||
653 | |a infection diseases | ||
653 | |a artificial neural network | ||
653 | |a Doppler radar | ||
653 | |a heart rate | ||
653 | |a real-time processing | ||
653 | |a visually challenged | ||
653 | |a navigation | ||
653 | |a image analysis | ||
653 | |a fuzzy sets | ||
653 | |a convolutional neural networks (CNNs) | ||
653 | |a eye tracking | ||
653 | |a motorized wheelchair | ||
653 | |a ultrasonic proximity sensors | ||
653 | |a laryngeal cancer | ||
653 | |a contact endoscopy | ||
653 | |a narrow band imaging | ||
653 | |a automatic classification | ||
653 | |a feature extraction | ||
653 | |a Barrett neoplasia | ||
653 | |a tissue detection | ||
653 | |a recurrent neural networks | ||
653 | |a upper GI tract | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3041 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69253 |7 0 |z DOAB: description of the publication |