Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Une approche originale de l'anatomie qui privilégie la compréhension des structures anatomiques à leur seule mémorisation. Comprendre l'anatomie. La méthode d'approche compréhensive consiste, en premier lieu, à observer une fonction et à en identifier les problèmes techniques à résoudre pour sa réalisation et, en second lieu, à aller vers la solution anatomique pour la valider. Les déviations pathologiques doivent être bien comprises afin d'être traitées dans les meilleures conditions possibles. Cet ouvrage aborde donc les problèmes anatomiques dans une perspective biomécanique mettant l'accent sur la compréhension du fonctionnement des structures décrites. De nombreuses photographies. L'anatomie est une discipline rigoureuse qui nécessite de "voir" l'objet d'étude : notre corps. Ce livre contient un nombre important d'illustrations faites à partir de dissections ou de coupes anatomiques, permettant d'entrer progressivement dans la réalité anatomique. Le CD joint au livre donne la possibilité à l'étudiant de voir simultanément, d'une part l'illustration annotée et légendée dans le livre, et d'autre part la même image mais sans annotations. Pour l'étudiant, ceci favorise la compréhension optimale de la notion traitée. Pour l'enseignant, cela permet l'enseignement ou le contrôle des connaissances d'après un matériel de qualité.

Musculoskeletal System --- Biomechanics --- Musculoskeletal system --- Human locomotion --- Human anatomy --- Appareil locomoteur --- Locomotion humaine --- Anatomie humaine --- atlas --- Anatomy --- Physiology --- Atlases --- Anatomie --- Physiologie --- Atlas --- Movement --- Movement analysis of human body --- atlas. --- Biomechanical Phenomena. --- Anatomy - atlases

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents the latest advances in applications of continuous, objective, and automated sensing technologies and computer tools for sustainable and efficient poultry production, and it offers solutions to the poultry industry to address challenges in terms of poultry management, the environment, nutrition, automation and robotics, health, welfare assessment, behavior monitoring, waste management, etc. The reader will find original research papers that address, on a global scale, the sustainability and efficiency of the poultry industry and explore the above-mentioned areas through applications of PPF solutions in poultry meat and egg production

broiler --- activity index --- time interval --- age --- image processing --- poultry --- cage-free --- preening behavior --- mask R-CNN --- residual network --- broiler chicken --- machine vision --- image restoring --- precision poultry farming --- feeding system --- pecking force --- precision livestock farming --- poultry farming --- information management --- cloud database --- disease detection --- acoustic --- audio --- frequency --- behavior --- image analysis --- animal welfare --- movement analysis --- LED --- comfort index --- manure area --- manure coverage proportion --- environment control --- ammonia emission --- layer house --- laying hen --- daily behavior --- machine learning --- inertia sensor --- walking ability --- animal behavior --- precision livestock --- PLF --- precise feeding --- ideal protein --- animal health --- immune system --- productive parameters --- management

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Recent advances in electronics have led to sensors whose sizes and weights are such that they can be placed on living systems without impairing their natural motion and habits. They may be worn on the body as accessories or as part of the clothing and enable personalized mobile information processing. Wearable sensors open the way for a nonintrusive and continuous monitoring of body orientation, movements, and various physiological parameters during motor activities in real-life settings. Thus, they may become crucial tools not only for researchers, but also for clinicians, as they have the potential to improve diagnosis, better monitor disease development and thereby individualize treatment. Wearable sensors should obviously go unnoticed for the people wearing them and be intuitive in their installation. They should come with wireless connectivity and low-power consumption. Moreover, the electronics system should be self-calibrating and deliver correct information that is easy to interpret. Cross-platform interfaces that provide secure data storage and easy data analysis and visualization are needed.This book contains a selection of research papers presenting new results addressing the above challenges.

Medical equipment & techniques --- inertial measurement unit --- movement analysis --- long-track speed skating --- validity --- IMU --- principal component analysis --- wearable --- scoring --- carving --- balance assessment --- data augmentation --- gated recurrent unit --- human activity recognition --- one-dimensional convolutional neural network --- intermittent claudication --- vascular rehabilitation --- 6 min walking test --- functional walking --- TUG --- kinematics --- fall risk --- logistic regression --- elderly --- inertial sensor --- artificial intelligence --- supervised machine learning --- head rotation test --- neck pain --- cerebral palsy --- dystonia --- choreoathetosis --- machine learning --- home-based --- wearable device --- MLP --- gesture recognition --- flex sensor --- model search --- neural network --- inertial measurement unit—IMU --- movement complexity --- sample entropy --- trunk flexion --- low back pain --- lifting technique --- camera system --- ward clustering method --- K-means clustering method --- ensemble clustering method --- Bayesian neural network --- pain self-efficacy questionnaire --- n/a --- inertial measurement unit-IMU

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Quantitative movement analysis is widely used in clinical practice and research to investigate movement disorders objectively and in a complete way. Conventionally, body segment kinematic and kinetic parameters are measured in gait laboratories using marker-based optoelectronic systems, force plates, and electromyographic systems. Although movement analyses are considered accurate, the availability of specific laboratories, high costs, and dependency on trained users sometimes limit its use in clinical practice. A variety of compact wearable sensors are available today and have allowed researchers and clinicians to pursue applications in which individuals are monitored in their homes and in community settings within different fields of study, such movement analysis. Wearable sensors may thus contribute to the implementation of quantitative movement analyses even during out-patient use to reduce evaluation times and to provide objective, quantifiable data on the patients’ capabilities, unobtrusively and continuously, for clinical purposes.

gait --- smoothness --- older adults --- accelerometer --- inertial measurement unit (IMU) --- upper extremity --- stroke --- biomechanical phenomena --- kinematics --- inertial measurement systems --- motion analysis --- wearable devices --- e-textile --- gait analysis --- m-health --- plantar pressure --- validation --- Internet of Things --- body sensor network --- inertial sensors --- ground reaction force --- spatio-temporal parameters --- wearable sensors --- decision trees --- foot drop stimulation --- symmetry --- inertial measurement sensor --- wearable inertial sensors --- marker-based optoelectronic system --- ACL --- rehabilitation --- motion capture validation --- upper limb --- Parkinson’s disease --- Box and Block test --- inertial sensors network --- biomechanics analysis --- kinematic data --- hand trajectories --- kinematic --- inertial measurement units --- angle-angle diagrams --- cyclograms --- obesity --- bradykinesia --- real-life --- naturalistic monitoring --- motor fluctuation --- wearable movement sensor --- IMU --- motion capture --- reliability --- clinical --- orthopedic --- sensory–motor gait disorders --- limb prosthesis --- spatial–temporal analysis --- symmetry index --- walking --- 6-min walking test --- wearable system --- inertial sensor --- RGB-D sensors --- optoelectronic system --- movement analysis --- hemiparesis --- n/a --- Parkinson's disease --- sensory-motor gait disorders --- spatial-temporal analysis

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The aging population and the increased prevalence of neurological diseases have raised the issue of gait and balance disorders as a major public concern worldwide. Indeed, gait and balance disorders are responsible for a high healthcare and economic burden on society, thus, requiring new solutions to prevent harmful consequences. Recently, wearable sensors have provided new challenges and opportunities to address this issue through innovative diagnostic and therapeutic strategies. Accordingly, the book “Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders” collects the most up-to-date information about the objective evaluation of gait and balance disorders, by means of wearable biosensors, in patients with various types of neurological diseases, including Parkinson’s disease, multiple sclerosis, stroke, traumatic brain injury, and cerebellar ataxia. By adopting wearable technologies, the sixteen original research articles and reviews included in this book offer an updated overview of the most recent approaches for the objective evaluation of gait and balance disorders.

History of engineering & technology --- inertial measurement units --- gait analysis --- biomedical signal processing --- pattern recognition --- step detection --- physiological signals --- Parkinson’s disease --- pathological gait --- turning analysis --- wearable sensors --- mobile gait analysis --- wearables --- inertial sensors --- traumatic brain injury --- dynamic balance --- gait disorders --- gait patterns --- head injury --- gait symmetry --- gait smoothness --- acceleration --- machine learning --- classification --- accelerometer --- GAITRite --- multi-regression normalization --- SVM --- random forest classifier --- balance --- gait --- transcranial direct current stimulation --- wearable electronics --- IMUs --- cueing --- posture --- rehabilitation --- cerebellar ataxia --- movement analysis --- personalized medicine --- stroke --- asymmetry --- trunk --- reliability --- validity --- aging --- reactive postural responses --- yaw perturbation --- kinematics --- postural stability --- dynamic posturography --- multiple sclerosis --- gait metrics --- test-retest reliability --- sampling frequency --- accelerometry --- autocorrelation --- harmonic ratio --- six-minute walk --- back school --- inertial sensor --- lower back pain --- stability --- timed up and go test --- gait assessment --- tri-axial accelerometer --- CV --- healthy subjects --- test-retest --- trajectory reconstruction --- stride segmentation --- dynamic time warping --- pedestrian dead-reckoning --- near falls --- loss of balance --- pre-impact fall detection --- activities of daily life --- bio-signals --- EEG --- EMG --- wireless sensors --- posturography --- Alzheimer’s disease --- vestibular syndrome --- diagnosis --- symptoms monitoring --- wearable --- home-monitoring --- inertial measurement units --- gait analysis --- biomedical signal processing --- pattern recognition --- step detection --- physiological signals --- Parkinson’s disease --- pathological gait --- turning analysis --- wearable sensors --- mobile gait analysis --- wearables --- inertial sensors --- traumatic brain injury --- dynamic balance --- gait disorders --- gait patterns --- head injury --- gait symmetry --- gait smoothness --- acceleration --- machine learning --- classification --- accelerometer --- GAITRite --- multi-regression normalization --- SVM --- random forest classifier --- balance --- gait --- transcranial direct current stimulation --- wearable electronics --- IMUs --- cueing --- posture --- rehabilitation --- cerebellar ataxia --- movement analysis --- personalized medicine --- stroke --- asymmetry --- trunk --- reliability --- validity --- aging --- reactive postural responses --- yaw perturbation --- kinematics --- postural stability --- dynamic posturography --- multiple sclerosis --- gait metrics --- test-retest reliability --- sampling frequency --- accelerometry --- autocorrelation --- harmonic ratio --- six-minute walk --- back school --- inertial sensor --- lower back pain --- stability --- timed up and go test --- gait assessment --- tri-axial accelerometer --- CV --- healthy subjects --- test-retest --- trajectory reconstruction --- stride segmentation --- dynamic time warping --- pedestrian dead-reckoning --- near falls --- loss of balance --- pre-impact fall detection --- activities of daily life --- bio-signals --- EEG --- EMG --- wireless sensors --- posturography --- Alzheimer’s disease --- vestibular syndrome --- diagnosis --- symptoms monitoring --- wearable --- home-monitoring