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Book
Recent Advances in Motion Analysis
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

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.

Keywords

Technology: general issues --- 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 --- 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


Book
Recent Advances in Motion Analysis
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

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.


Book
Recent Advances in Motion Analysis
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Export citation

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Bookmark

Abstract

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.


Book
Low Back Pain (LBP)
Authors: --- --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Low back pain (LBP) is a major public health problem, being the most commonly reported musculoskeletal disorder (MSD) and the leading cause of compromised quality of life and work absenteeism. Indeed, LBP is the leading worldwide cause of years lost to disability, and its burden is growing alongside the increasing and aging population. The etiology, pathogenesis, and occupational risk factors of LBP are still not fully understood. It is crucial to give a stronger focus to reducing the consequences of LBP, as well as preventing its onset. Primary prevention at the occupational level remains important for highly exposed groups. Therefore, it is essential to identify which treatment options and workplace-based intervention strategies are effective in increasing participation at work and encouraging early return-to-work to reduce the consequences of LBP. The present Special Issue offers a unique opportunity to update many of the recent advances and perspectives of this health problem. A number of topics will be covered in order to attract high-quality research papers, including the following major areas: prevalence and epidemiological data, etiology, prevention, assessment and treatment approaches, and health promotion strategies for LBP. We have received a wide range of submissions, including research on the physical, psychosocial, environmental, and occupational perspectives, also focused on workplace interventions.

Keywords

Technology: general issues --- Environmental science, engineering & technology --- low back pain (LBP) --- standing position --- musculoskeletal pain --- sedentary behaviour --- back pain --- Google Trends --- infodemiology --- seasonality --- Wikipedia --- back problems --- Low Back Pain Scale --- maximum voluntary isometric contraction --- postural stability --- unexpected external postural perturbations --- disability --- insurance --- low back pain --- lumbar decompression --- lumbar fusion --- musculoskeletal disorders --- occupational health --- pain --- return to work --- satisfaction --- manual therapy --- kinesiophobia --- fear of pain --- Australian method --- Neurac --- chronic --- underserved --- African American --- Latino --- older adults --- workload --- wearable assistive device --- occupational back-support exoskeleton --- EMG --- handling task --- lumbalgia --- physical activity --- prevention --- public health --- occupational safety and health --- risk assessment --- occupational disorder --- knowledge --- rehabilitation nurses --- patient care --- unemployment --- gender difference --- population attributable fraction --- cross-sectional studies --- orthopaedics --- artificial intelligence --- computer vision --- digital image processing --- deep learning --- decision support systems --- computer aided diagnosis --- sub-threshold lumbar instability --- non-radiological lumbar instability --- lumbar instability --- radiography --- lumbar translation --- lumbar rotation --- screening tool --- X-ray --- sensitivity --- specificity --- workplace interventions --- workers --- work ability --- systematic review --- meta-analysis --- cognitive behavioral therapy --- mindfulness-based stress reduction --- depression --- fear-avoidance beliefs --- absenteeism --- epidemiology --- workplace --- epidural steroid injections --- lumbosacral radicular pain --- disk herniation --- canal stenosis --- review --- pelvic incidence --- hip–knee line --- anthropometry --- ROC curve --- reliability --- MRI --- CT --- bone metastasis --- bone cancer --- lung cancer --- prostate cancer --- machine learning --- radiomics --- signature --- spinal load --- core stability --- ergonomics --- low-back pain --- lower extremity --- low back pain (LBP) --- standing position --- musculoskeletal pain --- sedentary behaviour --- back pain --- Google Trends --- infodemiology --- seasonality --- Wikipedia --- back problems --- Low Back Pain Scale --- maximum voluntary isometric contraction --- postural stability --- unexpected external postural perturbations --- disability --- insurance --- low back pain --- lumbar decompression --- lumbar fusion --- musculoskeletal disorders --- occupational health --- pain --- return to work --- satisfaction --- manual therapy --- kinesiophobia --- fear of pain --- Australian method --- Neurac --- chronic --- underserved --- African American --- Latino --- older adults --- workload --- wearable assistive device --- occupational back-support exoskeleton --- EMG --- handling task --- lumbalgia --- physical activity --- prevention --- public health --- occupational safety and health --- risk assessment --- occupational disorder --- knowledge --- rehabilitation nurses --- patient care --- unemployment --- gender difference --- population attributable fraction --- cross-sectional studies --- orthopaedics --- artificial intelligence --- computer vision --- digital image processing --- deep learning --- decision support systems --- computer aided diagnosis --- sub-threshold lumbar instability --- non-radiological lumbar instability --- lumbar instability --- radiography --- lumbar translation --- lumbar rotation --- screening tool --- X-ray --- sensitivity --- specificity --- workplace interventions --- workers --- work ability --- systematic review --- meta-analysis --- cognitive behavioral therapy --- mindfulness-based stress reduction --- depression --- fear-avoidance beliefs --- absenteeism --- epidemiology --- workplace --- epidural steroid injections --- lumbosacral radicular pain --- disk herniation --- canal stenosis --- review --- pelvic incidence --- hip–knee line --- anthropometry --- ROC curve --- reliability --- MRI --- CT --- bone metastasis --- bone cancer --- lung cancer --- prostate cancer --- machine learning --- radiomics --- signature --- spinal load --- core stability --- ergonomics --- low-back pain --- lower extremity


Book
Low Back Pain (LBP)
Authors: --- --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Export citation

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Bookmark

Abstract

Low back pain (LBP) is a major public health problem, being the most commonly reported musculoskeletal disorder (MSD) and the leading cause of compromised quality of life and work absenteeism. Indeed, LBP is the leading worldwide cause of years lost to disability, and its burden is growing alongside the increasing and aging population. The etiology, pathogenesis, and occupational risk factors of LBP are still not fully understood. It is crucial to give a stronger focus to reducing the consequences of LBP, as well as preventing its onset. Primary prevention at the occupational level remains important for highly exposed groups. Therefore, it is essential to identify which treatment options and workplace-based intervention strategies are effective in increasing participation at work and encouraging early return-to-work to reduce the consequences of LBP. The present Special Issue offers a unique opportunity to update many of the recent advances and perspectives of this health problem. A number of topics will be covered in order to attract high-quality research papers, including the following major areas: prevalence and epidemiological data, etiology, prevention, assessment and treatment approaches, and health promotion strategies for LBP. We have received a wide range of submissions, including research on the physical, psychosocial, environmental, and occupational perspectives, also focused on workplace interventions.

Keywords

Technology: general issues --- Environmental science, engineering & technology --- low back pain (LBP) --- standing position --- musculoskeletal pain --- sedentary behaviour --- back pain --- Google Trends --- infodemiology --- seasonality --- Wikipedia --- back problems --- Low Back Pain Scale --- maximum voluntary isometric contraction --- postural stability --- unexpected external postural perturbations --- disability --- insurance --- low back pain --- lumbar decompression --- lumbar fusion --- musculoskeletal disorders --- occupational health --- pain --- return to work --- satisfaction --- manual therapy --- kinesiophobia --- fear of pain --- Australian method --- Neurac --- chronic --- underserved --- African American --- Latino --- older adults --- workload --- wearable assistive device --- occupational back-support exoskeleton --- EMG --- handling task --- lumbalgia --- physical activity --- prevention --- public health --- occupational safety and health --- risk assessment --- occupational disorder --- knowledge --- rehabilitation nurses --- patient care --- unemployment --- gender difference --- population attributable fraction --- cross-sectional studies --- orthopaedics --- artificial intelligence --- computer vision --- digital image processing --- deep learning --- decision support systems --- computer aided diagnosis --- sub-threshold lumbar instability --- non-radiological lumbar instability --- lumbar instability --- radiography --- lumbar translation --- lumbar rotation --- screening tool --- X-ray --- sensitivity --- specificity --- workplace interventions --- workers --- work ability --- systematic review --- meta-analysis --- cognitive behavioral therapy --- mindfulness-based stress reduction --- depression --- fear-avoidance beliefs --- absenteeism --- epidemiology --- workplace --- epidural steroid injections --- lumbosacral radicular pain --- disk herniation --- canal stenosis --- review --- pelvic incidence --- hip–knee line --- anthropometry --- ROC curve --- reliability --- MRI --- CT --- bone metastasis --- bone cancer --- lung cancer --- prostate cancer --- machine learning --- radiomics --- signature --- spinal load --- core stability --- ergonomics --- low-back pain --- lower extremity


Book
Low Back Pain (LBP)
Authors: --- --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Low back pain (LBP) is a major public health problem, being the most commonly reported musculoskeletal disorder (MSD) and the leading cause of compromised quality of life and work absenteeism. Indeed, LBP is the leading worldwide cause of years lost to disability, and its burden is growing alongside the increasing and aging population. The etiology, pathogenesis, and occupational risk factors of LBP are still not fully understood. It is crucial to give a stronger focus to reducing the consequences of LBP, as well as preventing its onset. Primary prevention at the occupational level remains important for highly exposed groups. Therefore, it is essential to identify which treatment options and workplace-based intervention strategies are effective in increasing participation at work and encouraging early return-to-work to reduce the consequences of LBP. The present Special Issue offers a unique opportunity to update many of the recent advances and perspectives of this health problem. A number of topics will be covered in order to attract high-quality research papers, including the following major areas: prevalence and epidemiological data, etiology, prevention, assessment and treatment approaches, and health promotion strategies for LBP. We have received a wide range of submissions, including research on the physical, psychosocial, environmental, and occupational perspectives, also focused on workplace interventions.

Keywords

low back pain (LBP) --- standing position --- musculoskeletal pain --- sedentary behaviour --- back pain --- Google Trends --- infodemiology --- seasonality --- Wikipedia --- back problems --- Low Back Pain Scale --- maximum voluntary isometric contraction --- postural stability --- unexpected external postural perturbations --- disability --- insurance --- low back pain --- lumbar decompression --- lumbar fusion --- musculoskeletal disorders --- occupational health --- pain --- return to work --- satisfaction --- manual therapy --- kinesiophobia --- fear of pain --- Australian method --- Neurac --- chronic --- underserved --- African American --- Latino --- older adults --- workload --- wearable assistive device --- occupational back-support exoskeleton --- EMG --- handling task --- lumbalgia --- physical activity --- prevention --- public health --- occupational safety and health --- risk assessment --- occupational disorder --- knowledge --- rehabilitation nurses --- patient care --- unemployment --- gender difference --- population attributable fraction --- cross-sectional studies --- orthopaedics --- artificial intelligence --- computer vision --- digital image processing --- deep learning --- decision support systems --- computer aided diagnosis --- sub-threshold lumbar instability --- non-radiological lumbar instability --- lumbar instability --- radiography --- lumbar translation --- lumbar rotation --- screening tool --- X-ray --- sensitivity --- specificity --- workplace interventions --- workers --- work ability --- systematic review --- meta-analysis --- cognitive behavioral therapy --- mindfulness-based stress reduction --- depression --- fear-avoidance beliefs --- absenteeism --- epidemiology --- workplace --- epidural steroid injections --- lumbosacral radicular pain --- disk herniation --- canal stenosis --- review --- pelvic incidence --- hip–knee line --- anthropometry --- ROC curve --- reliability --- MRI --- CT --- bone metastasis --- bone cancer --- lung cancer --- prostate cancer --- machine learning --- radiomics --- signature --- spinal load --- core stability --- ergonomics --- low-back pain --- lower extremity

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