Timed up and go and six-minute walking tests with wearable inertial sensor: one step further for the prediction of the risk of fall in elderly nursing home people

F Buisseret, L Catinus, R Grenard, L Jojczyk, D Fievez… - Sensors, 2020 - mdpi.com
Assessing the risk of fall in elderly people is a difficult challenge for clinicians. Since falls
represent one of the first causes of death in such people, numerous clinical tests have been …

Sensors vs. experts-a performance comparison of sensor-based fall risk assessment vs. conventional assessment in a sample of geriatric patients

M Marschollek, A Rehwald, KH Wolf, M Gietzelt… - BMC medical informatics …, 2011 - Springer
Background Fall events contribute significantly to mortality, morbidity and costs in our ageing
population. In order to identify persons at risk and to target preventive measures, many …

[HTML][HTML] Wearable inertial sensors to measure gait and posture characteristic differences in older adult fallers and non-fallers: A scoping review

M Patel, A Pavic, VA Goodwin - Gait & posture, 2020 - Elsevier
Background Wearable inertial sensors have grown in popularity as a means of objectively
assessing fall risk. This review aimed to identify gait and posture differences among older …

Application of wearable inertial sensors and a new test battery for distinguishing retrospective fallers from non-fallers among community-dwelling older people

H Qiu, RZU Rehman, X Yu, S Xiong - Scientific reports, 2018 - nature.com
Considering the challenge of population ageing and the substantial health problem among
the elderly population from falls, the purpose of this study was to verify whether it is possible …

A pilot study to validate a wearable inertial sensor for gait assessment in older adults with falls

G García-Villamil, M Neira-Álvarez, E Huertas-Hoyas… - Sensors, 2021 - mdpi.com
The high prevalence of falls and the enormous impact they have on the elderly population is
a cause for concern. We aimed to develop a walking-monitor gait pattern (G-STRIDE) for …

Sensor-based fall risk assessment–an expert 'to go'

M Marschollek, A Rehwald, KH Wolf… - … of information in …, 2011 - thieme-connect.com
Background: Falls are a predominant problem in our aging society, often leading to severe
somatic and psychological consequences, and having an incidence of about 30% in the …

Prediction of fall risk among community-dwelling older adults using a wearable system

TE Lockhart, R Soangra, H Yoon, T Wu, CW Frames… - Scientific reports, 2021 - nature.com
Falls are among the most common cause of decreased mobility and independence in older
adults and rank as one of the most severe public health problems with frequent fatal …

Machine learning prediction of fall risk in older adults using timed up and go test kinematics

V Roshdibenam, GJ Jogerst, NR Butler, S Baek - Sensors, 2021 - mdpi.com
Falls among the elderly population cause detrimental physical, mental, financial problems
and, in the worst case, death. The increasing number of people entering the higher risk age …

Novel sensing technology in fall risk assessment in older adults: a systematic review

R Sun, JJ Sosnoff - BMC geriatrics, 2018 - Springer
Background Falls are a major health problem for older adults with significant physical and
psychological consequences. A first step of successful fall prevention is to identify those at …

Review of fall risk assessment in geriatric populations using inertial sensors

J Howcroft, J Kofman, ED Lemaire - Journal of neuroengineering and …, 2013 - Springer
Background Falls are a prevalent issue in the geriatric population and can result in
damaging physical and psychological consequences. Fall risk assessment can provide …