Smart wearable insoles in industrial environments: A systematic review

M Abdollahi, Q Zhou, W Yuan - Applied Ergonomics, 2024 - Elsevier
Abstract Background and Purpose Industrial environments present unique challenges in
ensuring worker safety and optimizing productivity. The emergence of smart wearable …

Effects of dual-task resistance exercise on cognition, mood, depression, functional fitness, and activities of daily living in older adults with cognitive impairment: a …

JE Baek, SJ Hyeon, M Kim, H Cho, SC Hahm - BMC geriatrics, 2024 - Springer
Background Regular exercise is emphasized for the improvement of functional capacity and
independence of older adults. This study aimed to compare the effects of a dual-task …

Effect and optimal exercise prescription of robot-assisted gait training on lower extremity motor function in stroke patients: a network meta-analysis

H Huang, X Su, B Zheng, M Cao, Y Zhang… - Neurological Sciences, 2024 - Springer
Objective This study aimed to evaluate the effectiveness of robot-assisted gait training
(RAGT) and explore the optimal exercise prescription using a network meta-analysis …

In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study

JH Choi, ES Choi, D Park - BMC medical informatics and decision making, 2023 - Springer
Background Falls are one of the most common accidents in medical institutions, which can
threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed …

Dual tasking affects the outcomes of instrumented timed up and go, sit-to-stand, balance, and 10-meter walk tests in stroke survivors

M Abdollahi, PM Kuber, E Rashedi - Sensors, 2024 - mdpi.com
Stroke can impair mobility, with deficits more pronounced while simultaneously performing
multiple activities. In this study, common clinical tests were instrumented with wearable …

[HTML][HTML] An inpatient fall risk assessment tool: Application of machine learning models on intrinsic and extrinsic risk factors

S Jahangiri, M Abdollahi, R Patil, E Rashedi… - Machine Learning with …, 2024 - Elsevier
Background This study aimed to identify the most impactful set of intrinsic and extrinsic fall
risk factors and develop a data-driven inpatient fall risk assessment tool (FRAT). Methods …

Motor-cognitive dual-task paradigm affects timed up & go (TUG) test outcomes in stroke survivors

M Abdollahi, PM Kuber, M Pierce… - 2023 11th …, 2023 - ieeexplore.ieee.org
Stroke impacts the neuromusculoskeletal systems of the human body, which can lead to
alterations while performing tasks. One of the most common tests to identify such alterations …

Post-Stroke Functional Changes: In-Depth Analysis of Clinical Tests and Motor-Cognitive Dual-Tasking Using Wearable Sensors

M Abdollahi, E Rashedi, PM Kuber, S Jahangiri… - Bioengineering, 2024 - mdpi.com
Clinical tests like Timed Up and Go (TUG) facilitate the assessment of post-stroke mobility,
but they lack detailed measures. In this study, 21 stroke survivors and 20 control participants …

Fallers after stroke: a retrospective study to investigate the combination of postural sway measures and clinical information in faller's identification

J Jonsdottir, FG Mestanza Mattos, A Torchio… - Frontiers in …, 2023 - frontiersin.org
Background Falls can have devastating effects on quality of life. No clear relationships have
been identified between clinical and stabilometric postural measures and falling in persons …