Narrow your search

Library

ULiège (9)

FARO (7)

KU Leuven (7)

LUCA School of Arts (7)

Odisee (7)

Thomas More Kempen (7)

Thomas More Mechelen (7)

UCLL (7)

ULB (7)

VIVES (7)

More...

Resource type

book (16)

dissertation (1)


Language

English (16)

German (1)


Year
From To Submit

2021 (9)

2020 (4)

2019 (2)

2008 (1)

1975 (1)

Listing 1 - 10 of 17 << page
of 2
>>
Sort by

Book
An intercomparison of open sea tidal pressure sensors : report of scor working group 27 : tides of the open sea
Author:
Year: 1975 Publisher: Paris : D. Reidel,

Loading...
Export citation

Choose an application

Bookmark

Abstract


Book
Hydrodynamic processes at the water-sediment interface of streambeds.
Author:
ISBN: 1000008267 3866442440 Year: 2008 Publisher: KIT Scientific Publishing,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Simultaneous 2D pressure and 2D velocity information at the rough water-sediment interface of streambeds were gained by a newly developed measurement setup. In the bed the pressure fluctuations decay exponentially within the first 1-2 equivalent sand roughnesses. Structural findings concerning coherent flow structures are consistent with models originally developed for smooth walls. A significant bed destabilizing flow-pressure pattern was identified for the first time.


Dissertation
Master's Thesis : Detection and de-noising of external pressure disturbances for body plethysmography using signal processing
Authors: --- --- --- ---
Year: 2020 Publisher: Liège Université de Liège (ULiège)

Loading...
Export citation

Choose an application

Bookmark

Abstract

The goal of this thesis is to try to build an algorithm that would automatically de-noise the box pressure signal of the body plethysmography ( Is a lung test performed to measure the compliance of the lungs by determining how much air the lungs can hold). The box pressure signal plays a significant role to measure the thoracic gas volume. Hence, a noisy box pressure signal gives an inaccurate thoracic gas volume measurement. Accordingly, three methods were proposed for de-noising the box pressure signal with the smallest risk possible.&#13;&#13;The first two methods are in combination with a signal decomposition method so-call empirical mode decomposition (EMD), the advantage of using this method is to decompose the signal into a series signals; from high-frequency to low-frequency oscillations in which highlight the random noises that are not visible in the original signal. The EMD will be in combination with two different kinds of filters. The first filter will be a FIR low pass filter; this so-called method EMD-LPF. The second filter is called Savitzky-Golay (smoothing filter), this so-called method EMD-SG. The third method based on wavelet analysis, the thresholding technique will be used with a discrete wavelet transform for de-noising the signal, this method so-called DWT-db6/ DWT-sym6; where the sym and db are the fundamental mother wavelets. &#13;&#13;The performance of these algorithms has been compared in term of SNR and PRD, on the one hand. Their performance has been validated by total lung capacity (TLC: is the maximum volume of air the lungs can accommodate) test and specific airway resistance (sRaw: Inverse slope of the plot of flow rate versus box pressure) test with noisy and normal data set, on the other hand.&#13;&#13;&#13;Each of the methods shows good results. More specifically, the EMD-SG shows reasonable TLC values, consistent sRaw values, maximum SNR and minimum PRD, with noisy and normal data set.


Book
Innovative Technologies and Services for Smart Cities
Authors: ---
ISBN: 303921182X 3039211811 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

A smart city is a modern technology-driven urban area which uses sensing devices, information, and communication technology connected to the internet of things (IoTs) for the optimum and efficient utilization of infrastructures and services with the goal of improving the living conditions of citizens. Increasing populations, lower budgets, limited resources, and compatibility of the upgraded technologies are some of the few problems affecting the implementation of smart cities. Hence, there is continuous advancement regarding technologies for the implementation of smart cities. The aim of this Special Issue is to report on the design and development of integrated/smart sensors, a universal interfacing platform, along with the IoT framework, extending it to next-generation communication networks for monitoring parameters of interest with the goal of achieving smart cities. The proposed universal interfacing platform with the IoT framework will solve many challenging issues and significantly boost the growth of IoT-related applications, not just in the environmental monitoring domain but in the other key areas, such as smart home, assistive technology for the elderly care, smart city with smart waste management, smart E-metering, smart water supply, intelligent traffic control, smart grid, remote healthcare applications, etc., signifying benefits for all countries.


Book
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This Special Issue shows a range of potential opportunities for the application of wearable movement sensors in motor rehabilitation. However, the papers surely do not cover the whole field of physical behavior monitoring in motor rehabilitation. Most studies in this Special Issue focused on the technical validation of wearable sensors and the development of algorithms. Clinical validation studies, studies applying wearable sensors for the monitoring of physical behavior in daily life conditions, and papers about the implementation of wearable sensors in motor rehabilitation are under-represented in this Special Issue. Studies investigating the usability and feasibility of wearable movement sensors in clinical populations were lacking. We encourage researchers to investigate the usability, acceptance, feasibility, reliability, and clinical validity of wearable sensors in clinical populations to facilitate the application of wearable movement sensors in motor rehabilitation.

Keywords

Technology: general issues --- accelerometers --- wearable sensors --- exercise --- measurement --- GMFCS level --- relative orientation estimation --- IMU --- magnetometer-free --- gait analysis --- machine learning --- inertial measurement units --- neurological disorders --- falls --- validity --- 3-D motion analysis --- single leg squat --- motion capture --- clinical --- rehabilitation --- motor function --- outcomes --- implementation --- locomotion --- assistive devices --- embedded sensors --- accelerometry --- physical activity --- Fourier transform --- functional linear model --- walking distance --- lower limb amputation --- gait --- Lie group --- constrained extended Kalman filter --- pose estimation --- wearable devices --- distance measurement --- gait planning --- stride length --- center of pressure --- human–machine interaction --- perinatal stroke --- kinematics --- upper extremity --- cerebral palsy --- hemiplegia --- constraint --- inertial measurement unit --- wireless sensors network --- motion tracking --- range of motion --- shoulder --- goniometer --- spinal cord injury --- tetraplegia --- clinical setting --- circadian motor behavior --- body-worn sensors --- older adults --- physically active workers --- low back pain --- inertial motion units --- wearable sensor --- real-time gait detection --- insole pressure sensors --- pathological gait --- gait rehabilitation --- assistive device --- wearable technology --- stroke --- physical therapy --- arm use --- upper limb performance --- accelerometer --- sensor --- walking --- n/a --- human-machine interaction


Book
Carbon-Based Nanomaterials for (Bio)Sensors Development
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Carbon-based nanomaterials have been increasingly used in sensors and biosensors design due to their advantageous intrinsic properties, which include, but are not limited to, high electrical and thermal conductivity, chemical stability, optical properties, large specific surface, biocompatibility, and easy functionalization. The most commonly applied carbonaceous nanomaterials are carbon nanotubes (single- or multi-walled nanotubes) and graphene, but promising data have been also reported for (bio)sensors based on carbon quantum dots and nanocomposites, among others. The incorporation of carbon-based nanomaterials, independent of the detection scheme and developed platform type (optical, chemical, and biological, etc.), has a major beneficial effect on the (bio)sensor sensitivity, specificity, and overall performance. As a consequence, carbon-based nanomaterials have been promoting a revolution in the field of (bio)sensors with the development of increasingly sensitive devices. This Special Issue presents original research data and review articles that focus on (experimental or theoretical) advances, challenges, and outlooks concerning the preparation, characterization, and application of carbon-based nanomaterials for (bio)sensor development.


Book
Carbon-Based Nanomaterials for (Bio)Sensors Development
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Carbon-based nanomaterials have been increasingly used in sensors and biosensors design due to their advantageous intrinsic properties, which include, but are not limited to, high electrical and thermal conductivity, chemical stability, optical properties, large specific surface, biocompatibility, and easy functionalization. The most commonly applied carbonaceous nanomaterials are carbon nanotubes (single- or multi-walled nanotubes) and graphene, but promising data have been also reported for (bio)sensors based on carbon quantum dots and nanocomposites, among others. The incorporation of carbon-based nanomaterials, independent of the detection scheme and developed platform type (optical, chemical, and biological, etc.), has a major beneficial effect on the (bio)sensor sensitivity, specificity, and overall performance. As a consequence, carbon-based nanomaterials have been promoting a revolution in the field of (bio)sensors with the development of increasingly sensitive devices. This Special Issue presents original research data and review articles that focus on (experimental or theoretical) advances, challenges, and outlooks concerning the preparation, characterization, and application of carbon-based nanomaterials for (bio)sensor development.


Book
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This Special Issue shows a range of potential opportunities for the application of wearable movement sensors in motor rehabilitation. However, the papers surely do not cover the whole field of physical behavior monitoring in motor rehabilitation. Most studies in this Special Issue focused on the technical validation of wearable sensors and the development of algorithms. Clinical validation studies, studies applying wearable sensors for the monitoring of physical behavior in daily life conditions, and papers about the implementation of wearable sensors in motor rehabilitation are under-represented in this Special Issue. Studies investigating the usability and feasibility of wearable movement sensors in clinical populations were lacking. We encourage researchers to investigate the usability, acceptance, feasibility, reliability, and clinical validity of wearable sensors in clinical populations to facilitate the application of wearable movement sensors in motor rehabilitation.

Keywords

accelerometers --- wearable sensors --- exercise --- measurement --- GMFCS level --- relative orientation estimation --- IMU --- magnetometer-free --- gait analysis --- machine learning --- inertial measurement units --- neurological disorders --- falls --- validity --- 3-D motion analysis --- single leg squat --- motion capture --- clinical --- rehabilitation --- motor function --- outcomes --- implementation --- locomotion --- assistive devices --- embedded sensors --- accelerometry --- physical activity --- Fourier transform --- functional linear model --- walking distance --- lower limb amputation --- gait --- Lie group --- constrained extended Kalman filter --- pose estimation --- wearable devices --- distance measurement --- gait planning --- stride length --- center of pressure --- human–machine interaction --- perinatal stroke --- kinematics --- upper extremity --- cerebral palsy --- hemiplegia --- constraint --- inertial measurement unit --- wireless sensors network --- motion tracking --- range of motion --- shoulder --- goniometer --- spinal cord injury --- tetraplegia --- clinical setting --- circadian motor behavior --- body-worn sensors --- older adults --- physically active workers --- low back pain --- inertial motion units --- wearable sensor --- real-time gait detection --- insole pressure sensors --- pathological gait --- gait rehabilitation --- assistive device --- wearable technology --- stroke --- physical therapy --- arm use --- upper limb performance --- accelerometer --- sensor --- walking --- n/a --- human-machine interaction


Book
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This Special Issue shows a range of potential opportunities for the application of wearable movement sensors in motor rehabilitation. However, the papers surely do not cover the whole field of physical behavior monitoring in motor rehabilitation. Most studies in this Special Issue focused on the technical validation of wearable sensors and the development of algorithms. Clinical validation studies, studies applying wearable sensors for the monitoring of physical behavior in daily life conditions, and papers about the implementation of wearable sensors in motor rehabilitation are under-represented in this Special Issue. Studies investigating the usability and feasibility of wearable movement sensors in clinical populations were lacking. We encourage researchers to investigate the usability, acceptance, feasibility, reliability, and clinical validity of wearable sensors in clinical populations to facilitate the application of wearable movement sensors in motor rehabilitation.

Keywords

Technology: general issues --- accelerometers --- wearable sensors --- exercise --- measurement --- GMFCS level --- relative orientation estimation --- IMU --- magnetometer-free --- gait analysis --- machine learning --- inertial measurement units --- neurological disorders --- falls --- validity --- 3-D motion analysis --- single leg squat --- motion capture --- clinical --- rehabilitation --- motor function --- outcomes --- implementation --- locomotion --- assistive devices --- embedded sensors --- accelerometry --- physical activity --- Fourier transform --- functional linear model --- walking distance --- lower limb amputation --- gait --- Lie group --- constrained extended Kalman filter --- pose estimation --- wearable devices --- distance measurement --- gait planning --- stride length --- center of pressure --- human-machine interaction --- perinatal stroke --- kinematics --- upper extremity --- cerebral palsy --- hemiplegia --- constraint --- inertial measurement unit --- wireless sensors network --- motion tracking --- range of motion --- shoulder --- goniometer --- spinal cord injury --- tetraplegia --- clinical setting --- circadian motor behavior --- body-worn sensors --- older adults --- physically active workers --- low back pain --- inertial motion units --- wearable sensor --- real-time gait detection --- insole pressure sensors --- pathological gait --- gait rehabilitation --- assistive device --- wearable technology --- stroke --- physical therapy --- arm use --- upper limb performance --- accelerometer --- sensor --- walking


Book
Carbon-Based Nanomaterials for (Bio)Sensors Development
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Carbon-based nanomaterials have been increasingly used in sensors and biosensors design due to their advantageous intrinsic properties, which include, but are not limited to, high electrical and thermal conductivity, chemical stability, optical properties, large specific surface, biocompatibility, and easy functionalization. The most commonly applied carbonaceous nanomaterials are carbon nanotubes (single- or multi-walled nanotubes) and graphene, but promising data have been also reported for (bio)sensors based on carbon quantum dots and nanocomposites, among others. The incorporation of carbon-based nanomaterials, independent of the detection scheme and developed platform type (optical, chemical, and biological, etc.), has a major beneficial effect on the (bio)sensor sensitivity, specificity, and overall performance. As a consequence, carbon-based nanomaterials have been promoting a revolution in the field of (bio)sensors with the development of increasingly sensitive devices. This Special Issue presents original research data and review articles that focus on (experimental or theoretical) advances, challenges, and outlooks concerning the preparation, characterization, and application of carbon-based nanomaterials for (bio)sensor development.

Listing 1 - 10 of 17 << page
of 2
>>
Sort by