A review of gait phase detection algorithms for lower limb prostheses

HTT Vu, D Dong, HL Cao, T Verstraten, D Lefeber… - Sensors, 2020 - mdpi.com
Fast and accurate gait phase detection is essential to achieve effective powered lower-limb
prostheses and exoskeletons. As the versatility but also the complexity of these robotic …

Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness

J de Miguel-Fernández, J Lobo-Prat, E Prinsen… - … of neuroengineering and …, 2023 - Springer
Background In the past decade, there has been substantial progress in the development of
robotic controllers that specify how lower-limb exoskeletons should interact with brain …

Doppler radar for the extraction of biomechanical parameters in gait analysis

AK Seifert, M Grimmer, AM Zoubir - IEEE Journal of Biomedical …, 2020 - ieeexplore.ieee.org
The applicability of Doppler radar for gait analysis is investigated by quantitatively
comparing the measured biomechanical parameters to those obtained using motion …

Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment

SR Donahue, ME Hahn - Scientific Reports, 2023 - nature.com
Wearable sensors and machine learning algorithms are becoming a viable alternative for
biomechanical analysis outside of the laboratory. The purpose of this work was to estimate …

Gait phase recognition using deep convolutional neural network with inertial measurement units

B Su, C Smith, E Gutierrez Farewik - Biosensors, 2020 - mdpi.com
Gait phase recognition is of great importance in the development of assistance-as-needed
robotic devices, such as exoskeletons. In order for a powered exoskeleton with phase-based …

Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation

FL Haufe, AM Kober, P Wolf, R Riener… - … of neuroengineering and …, 2021 - Springer
Background Wearable robots have been shown to improve the efficiency of walking in
diverse scenarios. However, it is unclear how much practice is needed to fully adapt to …

Self-powered flexible wearable wireless sensing for outdoor work heatstroke prevention and health monitoring

X Chen, Z Wan, R Zhang, L Ma, Z Yang… - Chemical Engineering …, 2024 - Elsevier
Outdoor workers are susceptible to heatstroke in hot weather. Currently, there are no
wearable devices on the market to assess the risk of heatstroke. This paper proposes a self …

Gait trajectory and gait phase prediction based on an LSTM network

B Su, EM Gutierrez-Farewik - Sensors, 2020 - mdpi.com
Lower body segment trajectory and gait phase prediction is crucial for the control of
assistance-as-needed robotic devices, such as exoskeletons. In order for a powered …

Lower limb joint biomechanics-based identification of gait transitions in between level walking and stair ambulation

M Grimmer, J Zeiss, F Weigand, G Zhao, S Lamm… - Plos One, 2020 - journals.plos.org
Lower limb exoskeletons and lower limb prostheses have the potential to reduce gait
limitations during stair ambulation. To develop robotic assistance devices, the biomechanics …

Gait trajectory prediction on an embedded microcontroller using deep learning

M Karakish, MA Fouz, A ELsawaf - Sensors, 2022 - mdpi.com
Achieving a normal gait trajectory for an amputee's active prosthesis is challenging due to its
kinematic complexity. Accordingly, lower limb gait trajectory kinematics and gait phase …