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Book
Towards New Promising Discoveries for Lung Cancer Patients: A Selection of Papers from the First Joint Meeting on Lung Cancer of the FHU OncoAge (Nice, France) and the MD Anderson Cancer Center (Houston, TX, USA)
Authors: --- ---
ISBN: 3039214527 3039214519 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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This Special Issue of Cancers (Basel) is mainly dedicated to selecting papers from the talks given during the first Joint Meeting on Lung Cancer (JMLC) between the MD Anderson Cancer Center (Houston, Texas USA) and the Hospital University Federation (HUF) OncoAge (University Côte d’Azur, Nice, France) (Nice, September 2018). The central theme of JMLC is to discuss new advances and exchange ideas regarding lung cancer. Notably, the talks covered different topics on new therapeutic strategies (targeted therapy and immuno-oncology), molecular and cellular biology, biomarkers, and the epidemiology of lung cancer. Special attention was also given to lung cancer in elderly patients. The articles published in this Special Issue covered subjects such as the assessment of new biomarkers and new approaches for the early detection of lung cancer, epidemiological data, and emphasized a place for the newly characterized cellular pathways in lung cancer, which opens room for therapeutic perspectives for lung cancer patients.


Book
Optimising Nutrition to Alleviate Age-Associated Functional Decline
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Appropriate nutrition is a cornerstone of preventive gerontology. This Special Issue of Nutrients provides new insights on nutritional assessment and potential modifications of nutritional behaviours and supplements to prevent age-associated disorders and to increase life expectancy in different populations of older subjects. It includes five original articles and four systematic reviews. This Special Issue presents several aspects of the assessment of nutritional status and the prevention and treatment of nutritional deficiencies in different populations of older adults. Undoubtedly, future research will deepen our knowledge on this crucial public health issue.


Book
Health Care for Older Adults
Authors: --- --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In recent decades, life expectancy has been increasing. This is a historical milestone in the history of humanity. We have never lived so long before. In these circumstances, giving the best care to older adults efficiently is one of the greatest challenges of developed countries. This book explores different initiatives that result in the improvement of health conditions of older adults, such as multicomponent physical exercise programs, interventions that try to avoid loneliness and social isolation, and multidisciplinary assessment, and the treatment of frailty and other geriatric syndromes, of the elderly in various settings such as the Emergency Unit, Orthogeriatrics, and Oncogeriatrics. This book offers different manuscripts to readers, each trying to improve life satisfaction, quality of life, and life expectancy in older adults in different scenarios. It is up to us to achieve these goals. We are sure that these interesting chapters will contribute to improving clinical practices. Following the completion of the Special Issue "Health Care for Older Adults" for the international Journal of Environmental Research and Public Health, the Guest Editors felt the satisfaction of having reached 18 published manuscripts and the possibility of transforming this volume into a book. This book was born from the need to show how health and social advances have increased human longevity as never before. We live longer, knowing more and more the epigenetic mechanisms of this longevity, as extended aging also coexists with the least favorable aging trajectories. Among them, a syndrome stands out from the gerontological and geriatric perspective: frailty. Due to the pandemic, a social problem has increased its presence in clinical practice: ageism. Older adults have found it difficult to access the necessary clinical resources due to the simple matter of age. However, at this moment, we are able to detect and to reverse frailty. In the same way, we should aim to prevent loneliness and social isolation, involved in social frailty. Geriatric syndromes are underdiagnosed and undertreated, but clinical and geriatric knowledge provide diagnostic tools and non-pharmacological approaches to prevent and to treat them. All health professionals working together in an interdisciplinary team could improve the clinical practices to develop a quality health care for older adults, improving their life satisfaction and quality of life perception too.

Keywords

neck stabilization exercise --- nonspecific neck pain --- salt pack --- thermotherapy --- anticholinergic drugs --- pneumonia --- elderly --- potentially inappropriate medication --- pharmacoepidemiology --- infrared thermography --- cutaneous temperature --- skin blood flow --- dementia --- body temperature --- thermal sensation --- thermal comfort --- imaging --- mapping --- environmental temperature --- frailty --- COVID-19 --- aging --- physical activity --- mental health --- social relationships --- social frailty --- older adults --- life satisfaction --- accidental falls --- research hotspot --- CiteSpace --- knowledge domain visualization --- geriatric syndromes --- healthy aging --- exercise --- histones --- DNA methylation --- non-coding RNA --- hip fractures --- geriatric assessment --- orthogeriatric care --- functional recovery --- mortality --- hip fracture surgery --- multidisciplinary care --- predictive model --- hip fracture --- gait recovery --- feasibility --- frailty index --- psychometrics --- reliability --- validity --- ageing --- qualitative research --- primary health care --- loneliness --- social capital --- colorectal cancer --- comprehensive geriatric assessment --- geriatric liaison --- multicomponent programs --- functional capacity --- n/a --- occupational therapy --- occupational function --- social network --- social isolation --- posterior occlusal support --- maximum occlusal force --- masticatory function --- standing motion --- removable prostheses --- Eichner index --- fracture fixation --- geriatric --- intertrochanteric fractures --- prognostic factors --- Thai --- aged people --- STOPP/START --- Beers criteria --- medical prescriptions for chronic pathologies --- inappropriate prescribing --- nursing --- delirium --- machine learning technique --- random forest


Book
Active ageing and solidarity between generations in Europe : first results from SHARE after the economic crisis
Authors: ---
ISBN: 3110295466 3110295458 Year: 2013 Publisher: De Gruyter

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SHARE is an international survey designed to answer the societal challenges that face us due to rapid population ageing. How do Europeans age? Under which circumstances do older people and their families live, how healthy and active are they, and how did the crisis affect them? The authors of this multidisciplinary book have taken a first step toward answering these questions based on the recent SHARE data including a new social networks module.


Book
Sensors for Gait, Posture, and Health Monitoring Volume 3
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance

Keywords

step detection --- machine learning --- outlier detection --- transition matrices --- autoencoders --- ground reaction force (GRF) --- micro electro mechanical systems (MEMS) --- gait --- walk --- bipedal locomotion --- 3-axis force sensor --- shoe --- force distribution --- multi-sensor gait classification --- distributed compressed sensing --- joint sparse representation classification --- telemonitoring of gait --- operating range --- accelerometer --- stride length --- peak tibial acceleration --- running velocity --- wearable sensors --- feedback technology --- rehabilitation --- motor control --- cerebral palsy --- inertial sensors --- gait events --- spatiotemporal parameters --- postural control --- falls in the elderly --- fall risk assessment --- low-cost instrumented insoles --- foot plantar center of pressure --- flexible sensor --- gait recognition --- piezoelectric material --- wearable --- adaptability --- force sensitive resistors --- self-tuning triple threshold algorithm --- sweat sensor --- sweat rate --- dehydration --- IoT --- PDMS --- surface electromyography --- handgrip force --- force-varying muscle contraction --- nonlinear analysis --- wavelet scale selection --- inertial measurement unit --- gyroscope --- asymmetry --- feature extraction --- gait analysis --- lower limb prosthesis --- trans-femoral amputee --- MR damper --- knee damping control --- inertial measurement units --- motion analysis --- kinematics --- functional activity --- repeatability --- reliability --- biomechanics --- cognitive frailty --- cognitive–motor impairment --- Alzheimer’s disease --- motor planning error --- instrumented trail-making task --- ankle reaching task --- dual task walking --- nondestructive --- joint moment --- partial weight loading --- muscle contributions --- sit-to-stand training --- motion parameters --- step length --- self-adaptation --- Parkinson’s disease (PD) --- tremor dominant (TD) --- postural instability and gait difficulty (PIGD) --- center of pressure (COP) --- fast Fourier transform (FFT) --- wavelet transform (WT) --- fall detection system --- smartphones --- accelerometers --- machine learning algorithms --- supervised learning --- ANOVA analysis --- Step-detection --- ActiGraph --- Pedometer --- acceleration --- physical activity --- physical function --- physical performance test --- chair stand --- sit to stand transfer --- wearables --- gyroscopes --- e-Health application --- physical rehabilitation --- shear and plantar pressure sensor --- biaxial optical fiber sensor --- multiplexed fiber Bragg gratings --- frailty --- pre-frail --- wearable sensor --- sedentary behavior --- moderate-to-vigorous activity --- steps --- fall detection --- elderly people monitoring --- telerehabilitation --- virtual therapy --- Kinect --- eHealth --- telemedicine --- insole --- injury prevention --- biomechanical gait variable estimation --- inertial gait variable --- total knee arthroplasty --- falls in healthy elderly --- fall prevention --- biometrics --- human gait recognition --- ground reaction forces --- Microsoft Kinect --- high heels --- fusion data --- ensemble classifiers --- accidental falls --- older adults --- neural networks --- convolutional neural network --- long short-term memory --- accelerometry --- obesity --- nonlinear --- electrostatic field sensing --- gait measurement --- temporal parameters --- artificial neural network --- propulsion --- aging --- walking --- smart footwear --- frailty prediction --- fall risk --- smartphone based assessments --- adverse post-operative outcome --- intelligent surveillance systems --- human fall detection --- health and well-being --- safety and security --- n/a --- movement control --- anterior cruciate ligament --- kinetics --- real-time feedback --- biomechanical gait features --- impaired gait classification --- pattern recognition --- sensors --- clinical --- knee --- osteoarthritis --- shear stress --- callus --- woman --- TUG --- IMU --- geriatric assessment --- semi-unsupervised --- self-assessment --- domestic environment --- functional decline --- symmetry --- trunk movement --- autocorrelation --- gait rehabilitation --- wearable device --- IMU sensors --- gait classification --- stroke patients --- neurological disorders --- scanning laser rangefinders (SLR), GAITRite --- cadence --- velocity and stride-length --- power --- angular velocity --- human motion measurement --- sensor fusion --- complementary filter --- fuzzy logic --- inertial and magnetic sensors --- ESOQ-2 --- Parkinson’s disease --- UPDRS --- movement disorders --- human computer interface --- RGB-Depth --- hand tracking --- automated assessment --- at-home monitoring --- Parkinson’s Diseases --- motorized walker --- haptic cue --- gait pattern --- statistics study --- walk detection --- step counting --- signal processing --- plantar pressure --- flat foot --- insoles --- force sensors --- arch index --- sports analytics --- deep learning --- classification --- inertial sensor --- cross-country skiing --- classical style --- skating style --- batteryless strain sensor --- wireless strain sensor --- resonant frequency modulation --- Ecoflex --- human activity recognition --- smartphone --- human daily activity --- ensemble method --- running --- velocity --- smart shoe --- concussion --- inertial motion units (IMUs) --- vestibular exercises --- validation --- motion capture --- user intent recognition --- transfemoral prosthesis --- multi-objective optimization --- biogeography-based optimization --- smart cane --- weight-bearing --- health monitoring --- wearable/inertial sensors --- regularity --- variability --- human --- motion --- locomotion --- UPDRS tasks --- posture --- postural stability --- center of mass --- RGB-depth --- neurorehabilitation --- hallux abductus valgus --- high heel --- proximal phalanx of the hallux --- abduction --- valgus --- ultrasonography --- Achilles tendon --- diagnostic --- imaging --- tendinopathy --- foot insoles --- electromyography --- joint instability --- muscle contractions --- motorcycling --- wearable electronic devices --- validity --- relative movement --- lower limb prosthetics --- biomechanic measurement tasks --- quantifying socket fit --- rehabilitation exercise --- dynamic time warping --- automatic coaching --- exergame --- fine-wire intramuscular EMG electrode --- non-human primate model --- traumatic spinal cord injury --- wavelet transform --- relative power --- linear mixed model --- VO2 --- calibration --- MET --- VO2net --- speed --- equivalent speed --- free-living --- children --- adolescents --- adults --- gait event detection --- hemiplegic gait --- appropriate mother wavelet --- acceleration signal --- wavelet-selection criteria --- conductive textile --- stroke --- hemiparetic --- real-time monitoring --- lower limb locomotion activity --- triplet Markov model --- semi-Markov model --- on-line EM algorithm --- human kinematics --- phase difference angle --- cognitive-motor impairment --- Alzheimer's disease --- Parkinson's disease (PD) --- Parkinson's disease --- Parkinson's Diseases


Book
Sensors for Gait, Posture, and Health Monitoring Volume 2
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance

Keywords

step detection --- machine learning --- outlier detection --- transition matrices --- autoencoders --- ground reaction force (GRF) --- micro electro mechanical systems (MEMS) --- gait --- walk --- bipedal locomotion --- 3-axis force sensor --- shoe --- force distribution --- multi-sensor gait classification --- distributed compressed sensing --- joint sparse representation classification --- telemonitoring of gait --- operating range --- accelerometer --- stride length --- peak tibial acceleration --- running velocity --- wearable sensors --- feedback technology --- rehabilitation --- motor control --- cerebral palsy --- inertial sensors --- gait events --- spatiotemporal parameters --- postural control --- falls in the elderly --- fall risk assessment --- low-cost instrumented insoles --- foot plantar center of pressure --- flexible sensor --- gait recognition --- piezoelectric material --- wearable --- adaptability --- force sensitive resistors --- self-tuning triple threshold algorithm --- sweat sensor --- sweat rate --- dehydration --- IoT --- PDMS --- surface electromyography --- handgrip force --- force-varying muscle contraction --- nonlinear analysis --- wavelet scale selection --- inertial measurement unit --- gyroscope --- asymmetry --- feature extraction --- gait analysis --- lower limb prosthesis --- trans-femoral amputee --- MR damper --- knee damping control --- inertial measurement units --- motion analysis --- kinematics --- functional activity --- repeatability --- reliability --- biomechanics --- cognitive frailty --- cognitive–motor impairment --- Alzheimer’s disease --- motor planning error --- instrumented trail-making task --- ankle reaching task --- dual task walking --- nondestructive --- joint moment --- partial weight loading --- muscle contributions --- sit-to-stand training --- motion parameters --- step length --- self-adaptation --- Parkinson’s disease (PD) --- tremor dominant (TD) --- postural instability and gait difficulty (PIGD) --- center of pressure (COP) --- fast Fourier transform (FFT) --- wavelet transform (WT) --- fall detection system --- smartphones --- accelerometers --- machine learning algorithms --- supervised learning --- ANOVA analysis --- Step-detection --- ActiGraph --- Pedometer --- acceleration --- physical activity --- physical function --- physical performance test --- chair stand --- sit to stand transfer --- wearables --- gyroscopes --- e-Health application --- physical rehabilitation --- shear and plantar pressure sensor --- biaxial optical fiber sensor --- multiplexed fiber Bragg gratings --- frailty --- pre-frail --- wearable sensor --- sedentary behavior --- moderate-to-vigorous activity --- steps --- fall detection --- elderly people monitoring --- telerehabilitation --- virtual therapy --- Kinect --- eHealth --- telemedicine --- insole --- injury prevention --- biomechanical gait variable estimation --- inertial gait variable --- total knee arthroplasty --- falls in healthy elderly --- fall prevention --- biometrics --- human gait recognition --- ground reaction forces --- Microsoft Kinect --- high heels --- fusion data --- ensemble classifiers --- accidental falls --- older adults --- neural networks --- convolutional neural network --- long short-term memory --- accelerometry --- obesity --- nonlinear --- electrostatic field sensing --- gait measurement --- temporal parameters --- artificial neural network --- propulsion --- aging --- walking --- smart footwear --- frailty prediction --- fall risk --- smartphone based assessments --- adverse post-operative outcome --- intelligent surveillance systems --- human fall detection --- health and well-being --- safety and security --- n/a --- movement control --- anterior cruciate ligament --- kinetics --- real-time feedback --- biomechanical gait features --- impaired gait classification --- pattern recognition --- sensors --- clinical --- knee --- osteoarthritis --- shear stress --- callus --- woman --- TUG --- IMU --- geriatric assessment --- semi-unsupervised --- self-assessment --- domestic environment --- functional decline --- symmetry --- trunk movement --- autocorrelation --- gait rehabilitation --- wearable device --- IMU sensors --- gait classification --- stroke patients --- neurological disorders --- scanning laser rangefinders (SLR), GAITRite --- cadence --- velocity and stride-length --- power --- angular velocity --- human motion measurement --- sensor fusion --- complementary filter --- fuzzy logic --- inertial and magnetic sensors --- ESOQ-2 --- Parkinson’s disease --- UPDRS --- movement disorders --- human computer interface --- RGB-Depth --- hand tracking --- automated assessment --- at-home monitoring --- Parkinson’s Diseases --- motorized walker --- haptic cue --- gait pattern --- statistics study --- walk detection --- step counting --- signal processing --- plantar pressure --- flat foot --- insoles --- force sensors --- arch index --- sports analytics --- deep learning --- classification --- inertial sensor --- cross-country skiing --- classical style --- skating style --- batteryless strain sensor --- wireless strain sensor --- resonant frequency modulation --- Ecoflex --- human activity recognition --- smartphone --- human daily activity --- ensemble method --- running --- velocity --- smart shoe --- concussion --- inertial motion units (IMUs) --- vestibular exercises --- validation --- motion capture --- user intent recognition --- transfemoral prosthesis --- multi-objective optimization --- biogeography-based optimization --- smart cane --- weight-bearing --- health monitoring --- wearable/inertial sensors --- regularity --- variability --- human --- motion --- locomotion --- UPDRS tasks --- posture --- postural stability --- center of mass --- RGB-depth --- neurorehabilitation --- hallux abductus valgus --- high heel --- proximal phalanx of the hallux --- abduction --- valgus --- ultrasonography --- Achilles tendon --- diagnostic --- imaging --- tendinopathy --- foot insoles --- electromyography --- joint instability --- muscle contractions --- motorcycling --- wearable electronic devices --- validity --- relative movement --- lower limb prosthetics --- biomechanic measurement tasks --- quantifying socket fit --- rehabilitation exercise --- dynamic time warping --- automatic coaching --- exergame --- fine-wire intramuscular EMG electrode --- non-human primate model --- traumatic spinal cord injury --- wavelet transform --- relative power --- linear mixed model --- VO2 --- calibration --- MET --- VO2net --- speed --- equivalent speed --- free-living --- children --- adolescents --- adults --- gait event detection --- hemiplegic gait --- appropriate mother wavelet --- acceleration signal --- wavelet-selection criteria --- conductive textile --- stroke --- hemiparetic --- real-time monitoring --- lower limb locomotion activity --- triplet Markov model --- semi-Markov model --- on-line EM algorithm --- human kinematics --- phase difference angle --- cognitive-motor impairment --- Alzheimer's disease --- Parkinson's disease (PD) --- Parkinson's disease --- Parkinson's Diseases


Book
Sensors for Gait, Posture, and Health Monitoring Volume 1
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance

Keywords

step detection --- machine learning --- outlier detection --- transition matrices --- autoencoders --- ground reaction force (GRF) --- micro electro mechanical systems (MEMS) --- gait --- walk --- bipedal locomotion --- 3-axis force sensor --- shoe --- force distribution --- multi-sensor gait classification --- distributed compressed sensing --- joint sparse representation classification --- telemonitoring of gait --- operating range --- accelerometer --- stride length --- peak tibial acceleration --- running velocity --- wearable sensors --- feedback technology --- rehabilitation --- motor control --- cerebral palsy --- inertial sensors --- gait events --- spatiotemporal parameters --- postural control --- falls in the elderly --- fall risk assessment --- low-cost instrumented insoles --- foot plantar center of pressure --- flexible sensor --- gait recognition --- piezoelectric material --- wearable --- adaptability --- force sensitive resistors --- self-tuning triple threshold algorithm --- sweat sensor --- sweat rate --- dehydration --- IoT --- PDMS --- surface electromyography --- handgrip force --- force-varying muscle contraction --- nonlinear analysis --- wavelet scale selection --- inertial measurement unit --- gyroscope --- asymmetry --- feature extraction --- gait analysis --- lower limb prosthesis --- trans-femoral amputee --- MR damper --- knee damping control --- inertial measurement units --- motion analysis --- kinematics --- functional activity --- repeatability --- reliability --- biomechanics --- cognitive frailty --- cognitive–motor impairment --- Alzheimer’s disease --- motor planning error --- instrumented trail-making task --- ankle reaching task --- dual task walking --- nondestructive --- joint moment --- partial weight loading --- muscle contributions --- sit-to-stand training --- motion parameters --- step length --- self-adaptation --- Parkinson’s disease (PD) --- tremor dominant (TD) --- postural instability and gait difficulty (PIGD) --- center of pressure (COP) --- fast Fourier transform (FFT) --- wavelet transform (WT) --- fall detection system --- smartphones --- accelerometers --- machine learning algorithms --- supervised learning --- ANOVA analysis --- Step-detection --- ActiGraph --- Pedometer --- acceleration --- physical activity --- physical function --- physical performance test --- chair stand --- sit to stand transfer --- wearables --- gyroscopes --- e-Health application --- physical rehabilitation --- shear and plantar pressure sensor --- biaxial optical fiber sensor --- multiplexed fiber Bragg gratings --- frailty --- pre-frail --- wearable sensor --- sedentary behavior --- moderate-to-vigorous activity --- steps --- fall detection --- elderly people monitoring --- telerehabilitation --- virtual therapy --- Kinect --- eHealth --- telemedicine --- insole --- injury prevention --- biomechanical gait variable estimation --- inertial gait variable --- total knee arthroplasty --- falls in healthy elderly --- fall prevention --- biometrics --- human gait recognition --- ground reaction forces --- Microsoft Kinect --- high heels --- fusion data --- ensemble classifiers --- accidental falls --- older adults --- neural networks --- convolutional neural network --- long short-term memory --- accelerometry --- obesity --- nonlinear --- electrostatic field sensing --- gait measurement --- temporal parameters --- artificial neural network --- propulsion --- aging --- walking --- smart footwear --- frailty prediction --- fall risk --- smartphone based assessments --- adverse post-operative outcome --- intelligent surveillance systems --- human fall detection --- health and well-being --- safety and security --- n/a --- movement control --- anterior cruciate ligament --- kinetics --- real-time feedback --- biomechanical gait features --- impaired gait classification --- pattern recognition --- sensors --- clinical --- knee --- osteoarthritis --- shear stress --- callus --- woman --- TUG --- IMU --- geriatric assessment --- semi-unsupervised --- self-assessment --- domestic environment --- functional decline --- symmetry --- trunk movement --- autocorrelation --- gait rehabilitation --- wearable device --- IMU sensors --- gait classification --- stroke patients --- neurological disorders --- scanning laser rangefinders (SLR), GAITRite --- cadence --- velocity and stride-length --- power --- angular velocity --- human motion measurement --- sensor fusion --- complementary filter --- fuzzy logic --- inertial and magnetic sensors --- ESOQ-2 --- Parkinson’s disease --- UPDRS --- movement disorders --- human computer interface --- RGB-Depth --- hand tracking --- automated assessment --- at-home monitoring --- Parkinson’s Diseases --- motorized walker --- haptic cue --- gait pattern --- statistics study --- walk detection --- step counting --- signal processing --- plantar pressure --- flat foot --- insoles --- force sensors --- arch index --- sports analytics --- deep learning --- classification --- inertial sensor --- cross-country skiing --- classical style --- skating style --- batteryless strain sensor --- wireless strain sensor --- resonant frequency modulation --- Ecoflex --- human activity recognition --- smartphone --- human daily activity --- ensemble method --- running --- velocity --- smart shoe --- concussion --- inertial motion units (IMUs) --- vestibular exercises --- validation --- motion capture --- user intent recognition --- transfemoral prosthesis --- multi-objective optimization --- biogeography-based optimization --- smart cane --- weight-bearing --- health monitoring --- wearable/inertial sensors --- regularity --- variability --- human --- motion --- locomotion --- UPDRS tasks --- posture --- postural stability --- center of mass --- RGB-depth --- neurorehabilitation --- hallux abductus valgus --- high heel --- proximal phalanx of the hallux --- abduction --- valgus --- ultrasonography --- Achilles tendon --- diagnostic --- imaging --- tendinopathy --- foot insoles --- electromyography --- joint instability --- muscle contractions --- motorcycling --- wearable electronic devices --- validity --- relative movement --- lower limb prosthetics --- biomechanic measurement tasks --- quantifying socket fit --- rehabilitation exercise --- dynamic time warping --- automatic coaching --- exergame --- fine-wire intramuscular EMG electrode --- non-human primate model --- traumatic spinal cord injury --- wavelet transform --- relative power --- linear mixed model --- VO2 --- calibration --- MET --- VO2net --- speed --- equivalent speed --- free-living --- children --- adolescents --- adults --- gait event detection --- hemiplegic gait --- appropriate mother wavelet --- acceleration signal --- wavelet-selection criteria --- conductive textile --- stroke --- hemiparetic --- real-time monitoring --- lower limb locomotion activity --- triplet Markov model --- semi-Markov model --- on-line EM algorithm --- human kinematics --- phase difference angle --- cognitive-motor impairment --- Alzheimer's disease --- Parkinson's disease (PD) --- Parkinson's disease --- Parkinson's Diseases

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