A systematic review of wearable sensor-based technologies for fall risk assessment in older adults

M Chen, H Wang, L Yu, EHK Yeung, J Luo, KL Tsui… - Sensors, 2022 - mdpi.com
Falls have been recognized as the major cause of accidental death and injury in people
aged 65 and above. The timely prediction of fall risks can help identify older adults prone to …

Predictability of fall risk assessments in community-dwelling older adults: a scoping review

NFJ Waterval, CM Claassen, FCT van der Helm… - Sensors, 2023 - mdpi.com
Fall risk increases with age, and one-third of adults over 65 years old experience a fall
annually. Due to the aging population, the number of falls and related medical costs will …

[HTML][HTML] Comparison of different field tests to assess the physical capacity of post-COVID-19 patients

R Peroy-Badal, A Sevillano-Castaño, R Torres-Castro… - Pulmonology, 2022 - Elsevier
Background In coronavirus disease (COVID-19), physical capacity is one of the most
impaired sequelae. Due to their simplicity and low cost, field tests such as the six-minute …

Mortality, falls and slow walking speed are predicted by different muscle strength and physical performance measures in women and men

J Zanker, D Scott, D Alajlouni, B Kirk, S Bird… - Archives of gerontology …, 2023 - Elsevier
Background Different measures of muscle strength, physical performance and body
size/composition are used in various sarcopenia definitions. This study investigated which …

Assessment of exercise capacity in post-COVID-19 patients: how is the appropriate test chosen?

R Torres-Castro, R Núñez-Cortés, S Larrateguy… - Life, 2023 - mdpi.com
There is a wide range of sequelae affecting COVID-19 survivors, including impaired physical
capacity. These sequelae can affect the quality of life and return to work of the active …

Predicting Axial Impairment in Parkinson's Disease through a Single Inertial Sensor

L Borzì, I Mazzetta, A Zampogna, A Suppa, F Irrera… - Sensors, 2022 - mdpi.com
Background: Current telemedicine approaches lack standardised procedures for the remote
assessment of axial impairment in Parkinson's disease (PD). Unobtrusive wearable sensors …

Fall-risk assessment of aged workers using wearable inertial measurement units based on machine learning

J Kou, X Xu, X Ni, S Ma, L Guo - Safety Science, 2024 - Elsevier
Falls are the major cause of fatal and nonfatal incidents among aged workers. Estimating
individual fall risk is crucial for occupational protection and public health. This study aimed to …

Application of wearable sensors in constructing a fall risk prediction model for community-dwelling older adults: a scoping review

B Wang, Y Liu, A Lu, C Wang - Archives of Gerontology and Geriatrics, 2024 - Elsevier
Background Falls are a particularly important public health problem among older people.
Early identification of risk factors is crucial for reducing the risk of falls in older adults. Studies …

Sensor-Based Multifaceted Feature Extraction and Ensemble Elastic Net Approach for Assessing Fall Risk in Community-Dwelling Older Adults

X Wang, L Yu, H Wang, KL Tsui… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Accurate identification of community-dwelling older adults at high fall risk can facilitate timely
intervention and significantly reduce fall incidents. Analyzing gait and balance capabilities …

Relationship between Acceleration in a Sit-To-Stand Movement and Physical Function in Older Adults

K Tateoka, T Tsuji, T Shoji, S Tokunaga, T Okura - Geriatrics, 2023 - mdpi.com
Acceleration parameters in sit-to-stand (STS) movements are useful for measuring lower-
limb function in older adults. The purpose of this study was to examine the relationship …