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 …
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …
Recent use of deep learning techniques in clinical applications based on gait: a survey
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …
and medicine. In particular, clinical gait analysis has played a significant role in improving …
Human gait activity recognition machine learning methods
Human gait activity recognition is an emerging field of motion analysis that can be applied in
various application domains. One of the most attractive applications includes monitoring of …
various application domains. One of the most attractive applications includes monitoring of …
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 …
robotic devices, such as exoskeletons. In order for a powered exoskeleton with phase-based …
Smart footwear insole for recognition of foot pronation and supination using neural networks
MJ Domínguez-Morales, F Luna-Perejón… - Applied Sciences, 2019 - mdpi.com
Featured Application This work has direct applications to the fields of physiotherapy and
chiropody in terms of preventing and correcting deficiencies in the gait. Abstract Abnormal …
chiropody in terms of preventing and correcting deficiencies in the gait. Abstract Abnormal …
Predicting vertical ground reaction forces from 3D accelerometry using reservoir computers leads to accurate gait event detection
Accelerometers are low-cost measurement devices that can readily be used outside the lab.
However, determining isolated gait events from accelerometer signals, especially foot-off …
However, determining isolated gait events from accelerometer signals, especially foot-off …
Prediction of gait cycle percentage using instrumented shoes with artificial neural networks
Gait training is widely used to treat gait abnormalities. Traditional gait measurement systems
are limited to instrumented laboratories. Even though gait measurements can be made in …
are limited to instrumented laboratories. Even though gait measurements can be made in …
Effects of timed frontal plane pelvic moments during overground walking with a mobile TPAD system
Robotic gait training may improve overground ambulation for individuals with poor control
over pelvic motion. However, there is a need for an overground gait training robotic device …
over pelvic motion. However, there is a need for an overground gait training robotic device …
[HTML][HTML] Gait phase detection by using a portable system and artificial neural network
SH Yan, YC Liu, W Li, K Zhang - Medicine in Novel Technology and …, 2021 - Elsevier
Gait phases are important to evaluate the walking function and to identify the characteristics
of pathological gaits. However, it is difficult to differentiate gait phases outside gait …
of pathological gaits. However, it is difficult to differentiate gait phases outside gait …
Just find it: The Mymo approach to recommend running shoes
Wearing inappropriate running shoes may lead to unnecessary injury through continued
strain upon the lower extremities; potentially damaging a runner's performance. Many …
strain upon the lower extremities; potentially damaging a runner's performance. Many …