Assessment methods of post-stroke gait: A scoping review of technology-driven approaches to gait characterization and analysis

DM Mohan, AH Khandoker, SA Wasti… - Frontiers in …, 2021 - frontiersin.org
Background: Gait dysfunction or impairment is considered one of the most common and
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …

Gait analysis for post-stroke hemiparetic patient by multi-features fusion method

M Li, S Tian, L Sun, X Chen - Sensors, 2019 - mdpi.com
Walking is a basic requirement for participating in daily activities. Neurological diseases
such as stroke can significantly affect one's gait and thereby restrict one's activities that are a …

State-of-the-art wearable sensors and possibilities for radar in fall prevention

JG Argañarás, YT Wong, R Begg, NC Karmakar - Sensors, 2021 - mdpi.com
Radar technology is constantly evolving, and new applications are arising, particularly for
the millimeter wave bands. A novel application for radar is gait monitoring for fall prevention …

Quantifying workers' gait patterns to identify safety hazards in construction using a wearable insole pressure system

MF Antwi-Afari, H Li, S Anwer, SK Yevu, Z Wu… - Safety science, 2020 - Elsevier
Safety hazard identification is an essential method for mitigating non-fatal fall injuries and
improving construction workers' safety performance. Current safety hazard identification …

[HTML][HTML] Biomechanical gait analysis using a smartphone-based motion capture system (opencap) in patients with neurological disorders

YS Min, TD Jung, YS Lee, Y Kwon, HJ Kim, HC Kim… - Bioengineering, 2024 - mdpi.com
This study evaluates the utility of OpenCap (v0. 3), a smartphone-based motion capture
system, for performing gait analysis in patients with neurological disorders. We compared …

An infrared sensor-based instrumented shoe for gait events detection on different terrains and transitions

A Tiwari, D Joshi - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
This paper presents a low-cost wireless gait event detection system that incorporates infra-
red range sensors mounted laterally at a specific anatomical location on the shoe. This …

An sEMG-Based Human-Exoskeleton Interface Fusing Convolutional Neural Networks With Hand-Crafted Features

X Yang, Z Fu, B Li, J Liu - Frontiers in Neurorobotics, 2022 - frontiersin.org
In recent years, the human-robot interfaces (HRIs) based on surface electromyography
(sEMG) have been widely used in lower-limb exoskeleton robots for movement prediction …

Investigating the feasibility of cerebellar transcranial direct current stimulation to facilitate post-stroke overground gait performance in chronic stroke: a partial least …

D Solanki, Z Rezaee, A Dutta, U Lahiri - Journal of NeuroEngineering and …, 2021 - Springer
Background Investigation of lobule-specific electric field effects of cerebellar transcranial
direct current stimulation (ctDCS) on overground gait performance has not been performed …

The implication of pathway turn and task condition on gait quantified using SmartWalk: Changes with age and Parkinson's disease with relevance to postural strategy …

P Pallavi, N Jariwala, N Patel, M Kanetkar… - Frontiers in …, 2022 - frontiersin.org
One's gait can be affected by aging, pathway with turns, task demands, etc., causing
changes in gait-related indices and knee flexion (influencing posture). Walking on pathways …

A Survey of Wearable Sensors and Machine Learning Algorithms for Automated Stroke Rehabilitation

N Sengupta, AS Rao, B Yan, M Palaniswami - IEEE Access, 2024 - ieeexplore.ieee.org
Stroke is one of the leading causes of disability among the elderly population and is a
significant public health problem worldwide. The main impact of stroke is functional …