Automated step detection with 6-minute walk test smartphone sensors signals for fall risk classification in lower limb amputees.

Predictive models for fall risk classification are valuable for early identification and intervention. However, lower limb amputees are often neglected in fall risk research despite having increased fall risk compared to age-matched able-bodied individuals. A random forest model was previously shown to be effective for fall risk classification of lower limb amputees, however manual labelling of foot strikes was required.

Amputee Fall Risk Classification Using Machine Learning and Smartphone Sensor Data from 2-Minute and 6-Minute Walk Tests.

The 6-min walk test (6MWT) is commonly used to assess a person’s physical mobility and aerobic capacity. However, richer knowledge can be extracted from movement assessments using artificial intelligence (AI) models, such as fall risk status. The 2-min walk test (2MWT) is an alternate assessment for people with reduced mobility who cannot complete the full 6MWT, including some people with lower limb amputations; therefore, this research investigated automated foot strike (FS) detection and fall risk classification using data from a 2MWT.

Fall risk classification for people with lower extremity amputations using random forests and smartphone sensor features from a 6-minute walk test.

Fall-risk classification is a challenging but necessary task to enable the recommendation of preventative programs for individuals identified at risk for falling. Existing research has primarily focused on older adults, with no predictive fall-risk models for lower limb amputees, despite their greater likelihood of fall-risk than older adults. In this study, 89 amputees with varying degrees of lower limb amputation were asked if they had fallen in the past 6 months.

A new valid Walking Aid Scale better predicts distance walked by prosthesis users than Prosthetic Mobility Questionnaire 2.0 and Activities-Specific Balance Confidence Scale.

The availability of psychometrically-sound and parsimonious outcome measures is key for optimizing decision-making about prosthetic fitting and rehabilitation in lower limb prosthesis users. Despite the increasing clinical use of observational and self-reported scales for assessing mobility and balance, there is currently no scale that accounts for the use of assistive devices while walking under conditions of increasing difficulty. Therefore, the purpose of this study was to develop and validate a Walking Aid Scale (WAS) in a cross-sectional sample of 144 prosthesis users.

Sociodemographic predictors of pain in old people : Serbian population-based study.

Background: With the growing increase in the older proportion of the world population, there is also an increase in specific age-related chronic diseases and conditions, including pain. We aimed to evaluate the association of sociodemographic factors with the presence and different degrees of pain intensity in people aged 65 years and older.

Methods: The population-based study, conducted in 2013, included 3540 individuals from Serbia.

Validation of the Activities-Specific Balance Confidence Scale With 5-Option Response Format in Slovene Lower-Limb Prosthetic Users.

Objective: To examine the psychometric properties of the Activities-specific Balance Confidence (ABC) scale administered in the Slovene version with a simplified 5-option response format (ABC-5/SLO) using Rasch analysis.

Design: Methodological research on data gathered in a cross-sectional study.

Setting: Outpatient university rehabilitation clinic.

Fall-Risk Classification in Amputees Using Smartphone Sensor Based Features in Turns.

Identifying people at risk of falling can prevent life altering injury. Existing research has demonstrated fall-risk classifier effectiveness in older adults from accelerometer-based data. The amputee population should similarly benefit from these classification techniques; however, validation is still required.

The Prosthetic Mobility Questionnaire, a tool for assessing mobility in people with lower-limb amputation: validation of PMQ 2.0 in Slovenia.

The aim of this study was to examine the metric properties of the Prosthetic Mobility Questionnaire, an outcome measure of mobility following lower-limb amputation, in Slovene outpatients undergoing rehabilitation. The 12-item Prosthetic Mobility Questionnaire was administered to 148 Slovene adults (74% men) with unilateral lower-limb amputation since >12 months and regularly wearing a prosthesis. The psychometric analysis included classical test theory methods and Rasch models.