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Robots in healthcare: a sco** review
Abstract Purpose of Review Robots are increasingly being adopted in healthcare to carry
out various tasks that enhance patient care. This sco** review aims to establish the types …
out various tasks that enhance patient care. This sco** review aims to establish the types …
Effectiveness of platform-based robot-assisted rehabilitation for musculoskeletal or neurologic injuries: a systematic review
During the last ten years the use of robotic-assisted rehabilitation has increased
significantly. Compared with traditional care, robotic rehabilitation has several potential …
significantly. Compared with traditional care, robotic rehabilitation has several potential …
Evaluation of a novel technology-supported fall prevention intervention–study protocol of a multi-centre randomised controlled trial in older adults at increased risk of …
T Morat, M Snyders, P Kroeber, A De Luca, V Squeri… - BMC geriatrics, 2023 - Springer
Background Increasing number of falls and fall-related injuries in an aging society give rise
to the need for effective fall prevention and rehabilitation strategies. Besides traditional …
to the need for effective fall prevention and rehabilitation strategies. Besides traditional …
Testing dynamic balance in people with multiple sclerosis: a Correlational Study between Standard Posturography and robotic-assistive device
Background: Robotic devices are known to provide pivotal parameters to assess motor
functions in Multiple Sclerosis (MS) as dynamic balance. However, there is still a lack of …
functions in Multiple Sclerosis (MS) as dynamic balance. However, there is still a lack of …
Comparing machine learning methods to improve fall risk detection in elderly with osteoporosis from balance data
Falls are a multifactorial cause of injuries for older people. Subjects with osteoporosis are
particularly vulnerable to falls. We study the performance of different computational methods …
particularly vulnerable to falls. We study the performance of different computational methods …
Biomechanical analysis of limits of stability using computerized posturography: correlations with functional mobility in elderly individuals with hip osteoarthritis–a cross …
KA Alahmari, RS Reddy - Frontiers in Bioengineering and …, 2024 - frontiersin.org
Background Hip osteoarthritis (OA) is a degenerative joint disease that predominantly affects
the elderly, causing significant morbidity due to joint pain, stiffness, and loss of function. This …
the elderly, causing significant morbidity due to joint pain, stiffness, and loss of function. This …
Balance and visual reliance in post-COVID syndrome patients assessed with a robotic system: a multi-sensory integration deficit
The symptoms of SARS-CoV-2 infection are not limited to the acute phase, with vertigo,
peripheral neuropathies, headache, fatigue, memory loss, and depression being the most …
peripheral neuropathies, headache, fatigue, memory loss, and depression being the most …
A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on …
Background Prediction models can identify fall-prone individuals. Prediction models can be
based on either data from research cohorts (cohort-based) or routinely collected data (RCD …
based on either data from research cohorts (cohort-based) or routinely collected data (RCD …
Long-term trajectories of depressive symptoms and machine learning techniques for fall prediction in older adults: Evidence from the China Health and Retirement …
X Chen, S Lin, Y Zheng, L He, Y Fang - Archives of Gerontology and …, 2023 - Elsevier
Background Falls are the most common adverse outcome of depression in older adults, yet
a accurate risk prediction model for falls stratified by distinct long-term trajectories of …
a accurate risk prediction model for falls stratified by distinct long-term trajectories of …
Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach
Background Falls are a major problem associated with ageing. Yet, fall-risk classification
models identifying older adults at risk are lacking. Current screening tools show limited …
models identifying older adults at risk are lacking. Current screening tools show limited …