[HTML][HTML] Gait metrics analysis utilizing single-point inertial measurement units: A systematic review

RJ Mobbs, J Perring, SM Raj, M Maharaj, NKM Yoong… - Mhealth, 2022 - ncbi.nlm.nih.gov
Background Wearable sensors, particularly accelerometers alone or combined with
gyroscopes and magnetometers in an inertial measurement unit (IMU), are a logical …

Recent advances in quantitative gait analysis using wearable sensors: a review

Y Hutabarat, D Owaki, M Hayashibe - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The current gold standard for gait analysis involves performing the gait experiments in a
laboratory environment with a constrained space. However, there is growing interest in …

A comparison of machine learning models' accuracy in predicting lower-limb joints' kinematics, kinetics, and muscle forces from wearable sensors

SM Moghadam, T Yeung, J Choisne - Scientific reports, 2023 - nature.com
A combination of wearable sensors' data and Machine Learning (ML) techniques has been
used in many studies to predict specific joint angles and moments. The aim of this study was …

Towards inertial sensor based mobile gait analysis: Event-detection and spatio-temporal parameters

W Teufl, M Lorenz, M Miezal, B Taetz, M Fröhlich… - Sensors, 2018 - mdpi.com
The aim of this study was to assess the validity and test-retest reliability of an inertial
measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a …

Surface electromyography applied to gait analysis: How to improve its impact in clinics?

V Agostini, M Ghislieri, S Rosati, G Balestra… - Frontiers in …, 2020 - frontiersin.org
Surface electromyography (sEMG) is the main non-invasive tool used to record the electrical
activity of muscles during dynamic tasks. In clinical gait analysis, a number of techniques …

Human Activity Recognition by Wearable Sensors: Comparison of different classifiers for real-time applications

G De Leonardis, S Rosati, G Balestra… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
In recent years, there is a growing interest in Human Activity Recognition (HAR) systems
applied in healthcare. A HAR system is essentially made of a wearable device equipped …

Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively impaired and …

M Bertoli, A Cereatti, D Trojaniello, L Avanzino… - Biomedical engineering …, 2018 - Springer
Background The use of miniaturized magneto-inertial measurement units (MIMUs) allows for
an objective evaluation of gait and a quantitative assessment of clinical outcomes. Spatial …

Segmentation of gait sequences in sensor-based movement analysis: a comparison of methods in Parkinson's disease

N Haji Ghassemi, J Hannink, CF Martindale, H Gaßner… - Sensors, 2018 - mdpi.com
Robust gait segmentation is the basis for mobile gait analysis. A range of methods have
been applied and evaluated for gait segmentation of healthy and pathological gait bouts …

Technological Solutions for Human Movement Analysis in Obese Subjects: A Systematic Review

R Monfrini, G Rossetto, E Scalona, M Galli, V Cimolin… - Sensors, 2023 - mdpi.com
Obesity has a critical impact on musculoskeletal systems, and excessive weight directly
affects the ability of subjects to realize movements. It is important to monitor the activities of …

Real-time detection of seven phases of gait in children with cerebral palsy using two gyroscopes

A Behboodi, N Zahradka, H Wright, J Alesi, SCK Lee - Sensors, 2019 - mdpi.com
A recently designed gait phase detection (GPD) system, with the ability to detect all seven
phases of gait in healthy adults, was modified for GPD in children with cerebral palsy (CP). A …