Lower limb kinematics trajectory prediction using long short-term memory neural networks

A Zaroug, DTH Lai, K Mudie, R Begg - Frontiers in Bioengineering …, 2020 - frontiersin.org
This study determined whether the kinematics of lower limb trajectories during walking could
be extrapolated using long short-term memory (LSTM) neural networks. It was hypothesised …

Accelerometry applications and methods to assess standing balance in older adults and mobility-limited patient populations: A narrative review

K Bohlke, MS Redfern, AL Rosso, E Sejdic - Aging Clinical and …, 2023 - Springer
Accelerometers provide an opportunity to expand standing balance assessments outside of
the laboratory. The purpose of this narrative review is to show that accelerometers are …

Quantitative description of the lie-to-sit-to-stand-to-walk transfer by a single body-fixed sensor

F Bagala, J Klenk, A Cappello, L Chiari… - … on Neural Systems …, 2012 - ieeexplore.ieee.org
Sufficient capacity and quality of performance of complex movement patterns during daily
activity, such as standing up from a bed, is a prerequisite for independent living and also …

Quasi-real time estimation of angular kinematics using single-axis accelerometers

A Caroselli, F Bagalà, A Cappello - Sensors, 2013 - mdpi.com
In human movement modeling, the problem of multi-link kinematics estimation by means of
inertial measurement units has been investigated by several authors through efficient sensor …

Toward interpretable digital biomarkers of walking and reaching in Parkinson's disease

J Ryu, E Torres - Wearable technologies, 2022 - cambridge.org
Multimodal digital data registered with wearable biosensors have emerged as highly
complementary of clinical pencil-and-paper criteria, offering new insights in ways to detect …

Estimating center of mass kinematics during perturbed human standing using accelerometers

SK Hnat, ML Audu, RJ Triolo… - Journal of Applied …, 2021 - journals.humankinetics.com
Estimating center of mass (COM) through sensor measurements is done to maintain walking
and standing stability with exoskeletons. The authors present a method for estimating COM …

Stability Measurements of Overhead Tasks in Combination with Prismatic Glasses Using IMU Mocap System: Presenting an Experiment Protocol

S Zelck, S Verwulgen, L Denteneer, M Dillen… - … Conference on Applied …, 2021 - Springer
Although overhead work is closely related to musculoskeletal disorders, it is difficult to avoid
the postures introduced by overhead work for heavy load professions. Prismatic glasses can …

Valoración del equilibrio postural en bipedestación-sedestación en sujetos sanos mediante acelerometría. Estudio piloto

A Caña-Pino, MD Apolo-Arenas, J Moral-Blanco… - Fisioterapia, 2015 - Elsevier
Introducción La valoración del control postural y el equilibrio es de relevancia para orientar
las intervenciones terapéuticas, al ser los aspectos más afectados que limitan a las …

Machine Learning Model for the Prediction of Human Movement Biomechanics

A Zaroug - 2021 - vuir.vu.edu.au
An increasingly useful application of machine learning (ML) is in predicting features of
human actions. If it can be shown that algorithm inputs related to actual movement …

Frailty detection using the instrumented version of the 30-s chair stand test

N Millor, P Lecumberri, M Gómez… - … Repair, Restore, Relieve …, 2014 - Springer
Frailty syndrome is regarded as a major predictor of co-morbidities and mortality in older
populations. Performance test such as the 30-s chair stand one (30-s CST) are a …