Fall risk assessment in stroke survivors: a machine learning model using detailed motion data from common clinical tests and motor-cognitive dual-tasking

M Abdollahi, E Rashedi, S Jahangiri, PM Kuber… - Sensors, 2024 - mdpi.com
Background: Falls are common and dangerous for stroke survivors. Current fall risk
assessment methods rely on subjective scales. Objective sensor-based methods could …

Fall Risk Assessment Using Single IMU

I Hosseini, RF Rojas… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The development of fall risk assessment is essential as falls are prevalent among older
people. Despite this urgency, current assessment methods predominantly rely on subjective …

Enhancing Natural Language Processing Capabilities in Geriatric Patient Care: An Annotation Scheme and Guidelines

I Guellil, S Andres, B Guthrie, A Anand, H Zhang… - … on Applications of …, 2024 - Springer
Manual data annotation of information related to geriatric syndrome (GS), which includes
various conditions affecting older adults, is required to train machine learning (ML) models …

A Decision Support System for Matching Users and Fall Risk Detection Technology

M Caragiuli, A Brunzini, C Massera… - … Conference on Human …, 2025 - Springer
One of the most common issues among the older people is falling. Sensor technologies can
control the risk of people to fall and make them aware of their health status. Numerous …

[書籍][B] A Comprehensive Machine Learning Approach to Assess Fall Risk in Stroke Survivors: Integrating Common Clinical Tests, Motor-Cognitive Dual-Tasks …

M Abdollahi - 2023 - search.proquest.com
This PhD dissertation focuses on develo** improved methods for assessing and reducing
fall risk in stroke survivors. Falls are a major concern in this population as they occur more …