Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders

Fall definitions, faller classifications and outcomes used in falls research among people with multiple sclerosis: a systematic review

(2020) Nicola O’Malley et al.   DISABILITY AND REHABILITATION

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

(2020) Alessandro Zampogna et al.   SENSORS

Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device

(2020) Yuhan Zhou et al.   SENSORS

Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson’s Disease

(2020) Rana Zia Ur Rehman et al.   SENSORS

Using path signatures to predict a diagnosis of Alzheimer’s disease

(2019) P. J. Moore et al.   PLoS One

Fall detection and fall risk assessment in older person using wearable sensors: A systematic review

(2019) Patricia Bet et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson’s Disease

(2019) Rana Zia Ur Rehman et al.   SENSORS

Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition

(2018) Zecheng Xie et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automatic recognition of gait patterns in human motor disorders using machine learning: A review

(2018) Joana Figueiredo et al.   MEDICAL ENGINEERING & PHYSICS

Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease

(2018) Chao Gao et al.   Scientific Reports

Natural turn measures predict recurrent falls in community-dwelling older adults: a longitudinal cohort study

(2018) Julia M. Leach et al.   Scientific Reports

Wearables for gait and balance assessment in the neurological ward - study design and first results of a prospective cross-sectional feasibility study with 384 inpatients

(2018) Felix P. Bernhard et al.   BMC Neurology

Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities

(2018) Eni Halilaj et al.   JOURNAL OF BIOMECHANICS

Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders

(2018) Wei-Chun Hsu et al.   SENSORS

Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People

(2018) Hai Qiu et al.   Scientific Reports

A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder

(2018) Imanol Perez Arribas et al.   Translational Psychiatry

Linear classifier design under heteroscedasticity in Linear Discriminant Analysis

(2017) Kojo Sarfo Gyamfi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Analysis of Free-Living Gait in Older Adults With and Without Parkinson’s Disease and With and Without a History of Falls: Identifying Generic and Disease-Specific Characteristics

(2017) Silvia Del Din et al.   JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES

Gait dynamics to optimize fall risk assessment in geriatric patients admitted to an outpatient diagnostic clinic

(2017) Lisette H. J. Kikkert et al.   PLoS One

Validity and reliability of a portable gait analysis system for measuring spatiotemporal gait characteristics: comparison to an instrumented treadmill

(2016) Lars Donath et al.   Journal of NeuroEngineering and Rehabilitation

Free-living gait characteristics in ageing and Parkinson’s disease: impact of environment and ambulatory bout length

(2016) Silvia Del Din et al.   Journal of NeuroEngineering and Rehabilitation

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Discretely sampled signals and the rough Hoff process

(2016) Guy Flint et al.   STOCHASTIC PROCESSES AND THEIR APPLICATIONS

Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use

(2016) Silvia Del Din et al.   IEEE Journal of Biomedical and Health Informatics

The relationship between real world ambulatory activity and falls in incident Parkinson's disease: Influence of classification scheme

(2015) Karen Mactier et al.   PARKINSONISM & RELATED DISORDERS

Feature Selection and Predictors of Falls with Foot Force Sensors Using KNN-Based Algorithms

(2015) Shengyun Liang et al.   SENSORS

Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features

(2015) Ferdous Wahid et al.   IEEE Journal of Biomedical and Health Informatics

Identification of functional parameters for the classification of older female fallers and prediction of 'first-time' fallers

(2014) N. Konig et al.   Journal of the Royal Society Interface

Associations of drug burden index with falls, general practitioner visits, and mortality in older people

(2014) Prasad S. Nishtala et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis

(2014) Emma Barry et al.   BMC Geriatrics

The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study

(2013) Takehiko Doi et al.   Journal of NeuroEngineering and Rehabilitation

Risk factors for falls among older adults: A review of the literature

(2013) Anne Felicia Ambrose et al.   MATURITAS

Moving forward on gait measurement: Toward a more refined approach

(2013) Sue Lord et al.   MOVEMENT DISORDERS

Three simple clinical tests to accurately predict falls in people with Parkinson's disease

(2013) Serene S. Paul et al.   MOVEMENT DISORDERS

Kinematic measures for assessing gait stability in elderly individuals: a systematic review

(2011) D. Hamacher et al.   Journal of the Royal Society Interface

Risk Factors for Falls in Community-dwelling Older People

(2010) Silvia Deandrea et al.   EPIDEMIOLOGY

The Patient Who Falls

(2010) Mary E. Tinetti et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Predictors of future falls in Parkinson disease

(2010) G. K. Kerr et al.   NEUROLOGY

Increased Risk for Falling Associated with Subtle Cognitive Impairment: Secondary Analysis of a Randomized Clinical Trial

(2009) Carey E. Gleason et al.   DEMENTIA AND GERIATRIC COGNITIVE DISORDERS

Differentiation of young and older adult stair climbing gait using principal component analysis

(2009) Samantha M. Reid et al.   GAIT & POSTURE

Comparison of Logistic Regression and Artificial Neural Network Models in Breast Cancer Risk Estimation

(2009) Turgay Ayer et al.   RADIOGRAPHICS