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This book collects recent research in the field of care for neurodevelopmental disorders, emphasizing transdisciplinary work in clinical, educational and family contexts. It presents an opportunity to learn about the impact of participation on children and adolescents with neurodevelopmental disorders. Mainly, new therapeutic approaches are presented in children and adolescents with autism spectrum disorder, attention-deficit/hyperactivity disorder, or motor coordination disorders.
hippotherapy --- cerebral palsy --- equine-assisted therapy --- physical therapy --- gross motor function --- family --- infantile hemiplegia --- modified Constraint-Induced Movement Therapy --- physical therapy modalities --- upper extremity --- neurodevelopmental disorders --- autism spectrum disorders --- attention deficit and hyperactivity disorder --- motor coordination disorder --- activities of daily living --- participation --- occupational therapy --- autism spectrum disorder (ASD) --- preschool teachers --- religious belief --- social beliefs --- personal beliefs --- Yemen --- autism --- diagnosis --- autoencoder --- convolution neural network --- machine learning --- sensory processing --- emotional regulation --- assessment --- play --- executive functions --- autism spectrum disorder --- specific language disorder --- virtual reality --- ADHD --- rehabilitation --- cognition --- attention --- impulsivity --- pain --- speech --- family impact --- healthcare satisfaction --- death concept --- school --- causality --- irreversibility --- universality --- non-functionality --- children --- scale development --- neurodevelopment --- grief --- inclusive education --- complex interventions development --- teachers --- health professionals --- qualitative --- co-production --- co-design --- n/a --- executive function --- child --- evaluation --- guideline --- neurodevelopmental --- pathway
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The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as wearables, inertial measurement units, ambient sensors, and cameras or depth sensors, have been adopted on a wide scale. Furthermore, computational intelligence (CI) methods, such as artificial neural networks, have recently emerged as promising tools for the development and application of intelligent systems in motion analysis. Thus, the synergy of classic instrumentation and novel smart devices and techniques has created unique capabilities in the continuous monitoring of motor behaviors in different fields, such as clinics, sports, and ergonomics. However, real-time sensing, signal processing, human activity recognition, and characterization and interpretation of motion metrics and behaviors from sensor data still representing a challenging problem not only in laboratories but also at home and in the community. This book addresses open research issues related to the improvement of classic approaches and the development of novel technologies and techniques in the domain of motion analysis in all the various fields of application.
falls --- slips --- trips --- postural perturbations --- wearables --- stretch-sensors --- ankle kinematics --- rowing --- technology --- inertial sensor --- accelerometer --- performance --- signal processing --- sEMG --- knee --- random forest --- principal component analysis --- back propagation --- estimation model --- knee angle --- deep learning --- neural networks --- gait-phase classification --- electrogoniometer --- EMG sensors --- walking --- gait-event detection --- automotive radar --- machine learning --- walking analysis --- seated posture --- cognitive engagement --- stress level --- load cells --- embedded systems --- sensorized seat --- flexion-relaxation phenomenon --- surface electromyography --- wearable device --- WBSN --- automatic detection of the FRP --- Internet of Things (IoT) --- human activity recognition (HAR) --- motion analysis --- wearable sensors --- cerebral palsy --- hemiplegia --- motor disorders --- gait variability --- coefficient of variation --- surface EMG --- statistical gait analysis --- activation patterns --- co-activation --- Parkinson’s disease --- activity recognition --- rate invariance --- Lie group
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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.
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
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