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Field: Balance, Gait, and Falls Prevention

A Global Gait Asymmetry Index

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Sílvia Cabral, Renan Alves Resende, Adam Clansey, Kevin J. Deluzio et al.

Journal: Journal of Applied Biomechanics
Year: 2015
Citations: 40

High levels of gait asymmetry are associated with many pathologies. Our long-term goal is to improve gait symmetry through real-time biofeedback of a symmetry index. Symmetry is often reported as a single metric or a collective signature of multiple discrete measures. While this is useful for assess...

Physical SciencesEngineeringBiomedical Engineering
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Kinematic and Kinetic Evaluation of the Stance Phase of Stair Ambulation in Persons with Stroke and Healthy Adults: A Pilot Study

Verified

Alison C. Novak, Brenda Brouwer

Journal: Journal of Applied BiomechanicsYear: 2013Citations: 39

This study describes and contrasts the kinematics and kinetics of stair ambulation in people with chronic stroke and healthy control subjects. Three-dimensional motion data were collected from 10 persons with stroke (7 males) and 10 sex and age-matched older adults as they ascended and descended an ...

Health SciencesMedicineRehabilitation
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Fall prevention interventions in primary care to reduce fractures and falls in people aged 70 years and over: the PreFIT three-arm cluster RCT

Verified

Julie Bruce, Anower Hossain, Ranjit Lall, Emma Withers et al.

Journal: Health Technology AssessmentYear: 2021Citations: 35

BACKGROUND: Falls and fractures are a major problem. OBJECTIVES: To investigate the clinical effectiveness and cost-effectiveness of alternative falls prevention interventions. DESIGN: Three-arm, pragmatic, cluster randomised controlled trial with parallel economic analysis. The unit of randomisatio...

Health SciencesHealth ProfessionsPhysical Therapy, Sports Therapy and RehabilitationOpen Access
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NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern

Verified

Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, Shona Pedersen et al.

Journal: Applied IntelligenceYear: 2023Citations: 34
Physical SciencesEngineeringBiomedical Engineering
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An Enhanced Ensemble Deep Neural Network Approach for Elderly Fall Detection System Based on Wearable Sensors

Verified

Zabir Mohammad, Arif Reza Anwary, M. F. Mridha, Md Sakib Hossain Shovon et al.

Journal: SensorsYear: 2023Citations: 34

Fatal injuries and hospitalizations caused by accidental falls are significant problems among the elderly. Detecting falls in real-time is challenging, as many falls occur in a short period. Developing an automated monitoring system that can predict falls before they happen, provide safeguards durin...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Acute Effects of Whole-Body Vibration on the Motor Function of Patients with Stroke

Verified

Adriana Teresa Silva, Miqueline Pivoto Faria Dias, Ruanito Calixto, Antonio Luis Carone et al.

Journal: American Journal of Physical Medicine & RehabilitationYear: 2014Citations: 33

OBJECTIVE: The aim of this study was to investigate the acute effects of whole-body vibration on the motor function of patients with stroke. DESIGN: The present investigation was a randomized clinical trial studying 43 individuals with hemiparesis after stroke, with 33 subjects allocated to the inte...

Health SciencesMedicineOrthopedics and Sports Medicine
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A Machine Learning Based Fall Detection for Elderly People with Neurodegenerative Disorders

Verified

Nazmun Nahar, Mohammad Shahadat Hossain, Karl Andersson

Journal: Lecture notes in computer scienceYear: 2020Citations: 30
Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Automatic Fall Detection System of Unsupervised Elderly People Using Smartphone

Verified

Zishan Zahidul Islam, Syed Mahir Tazwar, Md. Zahidul Islam, Seiichi Serikawa et al.

Year: 2017Citations: 28

With the increasing elderly population around us, complications in ensuring their proper welfare are also on a rise. Among these, unsupervised falling or collapsing is one of the main problems we face regarding elderly people. Though the prevention of fall should unarguably be the main focus but pra...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Effect of high-intensity interval training in physiotherapy primary care for patients with inflammatory arthritis: the ExeHeart randomised controlled trial

Verified

Kristine Røren Nordén, Anne Grete Semb, Hanne Dagfinrud, Jonny Hisdal et al.

Journal: RMD OpenYear: 2024Citations: 25

Objectives To assess the effect of high-intensity interval training (HIIT) delivered in physiotherapy primary care on the primary outcome of cardiorespiratory fitness (CRF) in patients with inflammatory arthritis (IA). Additionally, to explore the effects of HIIT on secondary outcomes, including car...

Health SciencesMedicineRheumatologyOpen Access
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Profile of stroke patients treated at a rehabilitation centre in Bangladesh

Verified

Firoz Ahmed Mamin, Muhammad Shahidul Islam, Farjana Sharmin Rumana, Farhana Faruqui

Journal: BMC Research NotesYear: 2017Citations: 23

OBJECTIVE: Stroke is the leading cause of death and disability in Bangladesh. Rehabilitation services have not yet been integrated into the Bangladesh health system. Only a few non-governmental organisations provide rehabilitation for stroke patients. The demographic profile of these patients has no...

Health SciencesMedicineRehabilitationOpen Access
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Effects of Exergaming on Physical and Cognitive Outcomes of Older Adults Living in Long-Term Care Homes: A Systematic Review

Verified

Charlene H. Chu, Amanda My Linh Quan, Allison Souter, Archanaa Krisnagopal et al.

Journal: GerontologyYear: 2022Citations: 20

BACKGROUND: Aging is often associated with increasing functional decline as measured by deterioration in mobility and activities of daily living. Older adults (OAs) living in residential long-term care (LTC) homes in particular may not engage in regular physical exercise, significantly increasing th...

Health SciencesHealth ProfessionsPhysical Therapy, Sports Therapy and RehabilitationOpen Access
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Decline in Gait Performance Detected by an Electronic Walkway System in 907 Older Adults of the Population-Based KORA-Age Study

Verified

Christine S. Autenrieth, Stefan Karrasch, Margit Heier, Lukas Gorzelniak et al.

Journal: GerontologyYear: 2012Citations: 20

BACKGROUND: Gait changes at older ages are a strong predictor of a decline in lower extremity functions. However, large population-based studies assessing gait parameters in various gait tasks are lacking. OBJECTIVE: We investigated the relationship of age, the use of mobility aids and being fitted ...

Health SciencesHealth ProfessionsPhysical Therapy, Sports Therapy and RehabilitationOpen Access
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Tailored implementation of national recommendations on fall prevention among older adults in municipalities in Norway (FALLPREVENT trial): a study protocol for a cluster-randomised trial

Verified

Maria Bjerk, Signe Flottorp, Are Hugo Pripp, Henning Øien et al.

Journal: Implementation ScienceYear: 2024Citations: 18

BACKGROUND: Despite substantial research evidence indicating the effectiveness of a range of interventions to prevent falls, uptake into routine clinical practice has been limited by several implementation challenges. The complexity of fall prevention in municipality health care underlines the impor...

Health SciencesHealth ProfessionsPhysical Therapy, Sports Therapy and RehabilitationOpen Access
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Beyond the ‘tick and flick’: facilitating best practice falls prevention through an action research approach

Verified

Emma Lea, Sharon Andrews, Keith Hill, Terry Haines et al.

Journal: Journal of Clinical NursingYear: 2012Citations: 18

AIMS AND OBJECTIVES: To examine residential aged care facility staff views on using falls risk assessment tools and the implications for developing falls prevention practices in the context of an action research project. BACKGROUND: Falls risk assessments play an important role in care planning by i...

Health SciencesHealth ProfessionsPhysical Therapy, Sports Therapy and RehabilitationOpen Access
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Tracking amyotrophic lateral sclerosis disease progression using passively collected smartphone sensor data

Verified

Marta Karas, Julia Olsen, Marcin Strączkiewicz, Stephen A. Johnson et al.

Journal: Annals of Clinical and Translational NeurologyYear: 2024Citations: 17

BACKGROUND: Passively collected smartphone sensor data provide an opportunity to study physical activity and mobility unobtrusively over long periods of time and may enable disease monitoring in people with amyotrophic lateral sclerosis (PALS). METHODS: We enrolled 63 PALS who used Beiwe mobile appl...

Health SciencesMedicineNeurologyOpen Access
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