Smart health monitoring systems: an overview of design and modeling

MM Baig, H Gholamhosseini - Journal of medical systems, 2013 - Springer
Health monitoring systems have rapidly evolved during the past two decades and have the
potential to change the way health care is currently delivered. Although smart health …

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 …

The elderly's independent living in smart homes: A characterization of activities and sensing infrastructure survey to facilitate services development

Q Ni, AB Garcia Hernando, IP De la Cruz - Sensors, 2015 - mdpi.com
Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …

Fall prediction and prevention systems: recent trends, challenges, and future research directions

R Rajagopalan, I Litvan, TP Jung - Sensors, 2017 - mdpi.com
Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …

Sensors-based wearable systems for monitoring of human movement and falls

T Shany, SJ Redmond, MR Narayanan… - IEEE Sensors …, 2011 - ieeexplore.ieee.org
The rapid aging of the world's population, along with an increase in the prevalence of
chronic illnesses and obesity, requires adaption and modification of current healthcare …

Role of body-worn movement monitor technology for balance and gait rehabilitation

F Horak, L King, M Mancini - Physical therapy, 2015 - academic.oup.com
This perspective article will discuss the potential role of body-worn movement monitors for
balance and gait assessment and treatment in rehabilitation. Recent advances in …

Optimal foot location for placing wearable IMU sensors and automatic feature extraction for gait analysis

AR Anwary, H Yu, M Vassallo - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Our aim is to maximize the interpretable information for gait analysis. To achieve this, it is
important to find the optimal sensor placement and the parameters that influence the …

How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review

G Vavasour, OM Giggins, J Doyle, D Kelly - Journal of neuroengineering …, 2021 - Springer
Background Globally the population of older adults is increasing. It is estimated that by 2050
the number of adults over the age of 60 will represent over 21% of the world's population …

Deep learning for fall risk assessment with inertial sensors: Utilizing domain knowledge in spatio-temporal gait parameters

C Tunca, G Salur, C Ersoy - IEEE journal of biomedical and …, 2019 - ieeexplore.ieee.org
Fall risk assessment is essential to predict and prevent falls in geriatric populations,
especially patients with life-long conditions like neurological disorders. Inertial sensor-based …

Reliability and validity of the Turkish version of the Falls Efficacy Scale International (FES-I) in community-dwelling older persons

Y Ulus, D Durmus, Y Akyol, Y Terzi, A Bilgici… - Archives of gerontology …, 2012 - Elsevier
The FES-I is a questionnaire which was developed to assess fear of falling. The aim of this
study was to evaluate validity and reliability of a Turkish language version of the FES-I in …