Gait analysis in neurological populations: Progression in the use of wearables

Y Celik, S Stuart, WL Woo, A Godfrey - Medical Engineering & Physics, 2021 - Elsevier
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

[HTML][HTML] Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review

J Qi, P Yang, A Waraich, Z Deng, Y Zhao… - Journal of biomedical …, 2018 - Elsevier
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …

Validation of an accelerometer to quantify a comprehensive battery of gait characteristics in healthy older adults and Parkinson's disease: toward clinical and at home …

S Del Din, A Godfrey… - IEEE journal of biomedical …, 2015 - ieeexplore.ieee.org
Measurement of gait is becoming important as a tool to identify disease and disease
progression, yet to date its application is limited largely to specialist centers. Wearable …

Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems

L Gao, AK Bourke, J Nelson - Medical engineering & physics, 2014 - Elsevier
Physical activity has a positive impact on people's well-being and it had been shown to
decrease the occurrence of chronic diseases in the older adult population. To date, a …

Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit

K Yang, CR Ahn, MC Vuran, SS Aria - Automation in construction, 2016 - Elsevier
Accidental falls (slips, trips, and falls from height) are the leading cause of occupational
death and injury in construction. As a proactive accident prevention measure, near miss can …

Fall detection devices and their use with older adults: a systematic review

S Chaudhuri, H Thompson… - Journal of geriatric physical …, 2014 - journals.lww.com
Background: Falls represent a significant threat to the health and independence of adults
aged 65 years and older. As a wide variety and large number of passive monitoring systems …

Physical activity recognition from smartphone accelerometer data for user context awareness sensing

J Wannenburg, R Malekian - IEEE Transactions on Systems …, 2016 - ieeexplore.ieee.org
Physical activity recognition of everyday activities such as sitting, standing, laying, walking,
and jogging was performed, through the use of smartphone accelerometer data. Activity …

Literature review on monitoring technologies and their outcomes in independently living elderly people

KKB Peetoom, MAS Lexis, M Joore… - Disability and …, 2015 - Taylor & Francis
Purpose: To obtain insight into what kind of monitoring technologies exist to monitor activity
in-home, what the characteristics and aims of applying these technologies are, what kind of …

Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different

MAD Brodie, MJM Coppens, SR Lord… - Medical & biological …, 2016 - Springer
Morbidity and falls are problematic for older people. Wearable devices are increasingly used
to monitor daily activities. However, sensors often require rigid attachment to specific …

Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis

A Hickey, S Del Din, L Rochester… - Physiological …, 2016 - iopscience.iop.org
Research suggests wearables and not instrumented walkways are better suited to quantify
gait outcomes in clinic and free-living environments, providing a more comprehensive …