Toward pervasive gait analysis with wearable sensors: A systematic review
After decades of evolution, measuring instruments for quantitative gait analysis have
become an important clinical tool for assessing pathologies manifested by gait …
become an important clinical tool for assessing pathologies manifested by gait …
Prevalence and diagnosis of neurological disorders using different deep learning techniques: a meta-analysis
This paper dispenses an exhaustive review on deep learning techniques used in the
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
[HTML][HTML] Wearable sensor technologies to assess motor functions in people with multiple sclerosis: systematic scoping review and perspective
Background Wearable sensor technologies have the potential to improve monitoring in
people with multiple sclerosis (MS) and inform timely disease management decisions …
people with multiple sclerosis (MS) and inform timely disease management decisions …
A systematic review of wearable sensors for monitoring physical activity
A Kristoffersson, M Lindén - Sensors, 2022 - mdpi.com
This article reviews the use of wearable sensors for the monitoring of physical activity (PA)
for different purposes, including assessment of gait and balance, prevention and/or …
for different purposes, including assessment of gait and balance, prevention and/or …
A systematic review on the use of wearable body sensors for health monitoring: a qualitative synthesis
A Kristoffersson, M Lindén - Sensors, 2020 - mdpi.com
The use of wearable body sensors for health monitoring is a quickly growing field with the
potential of offering a reliable means for clinical and remote health management. This …
potential of offering a reliable means for clinical and remote health management. This …
Deepmotion: A deep convolutional neural network on inertial body sensors for gait assessment in multiple sclerosis
Walking impairment resulted by various chronic diseases, disorders and injuries have been
investigated using recent emerging wearable technology, for instance, gait assessment …
investigated using recent emerging wearable technology, for instance, gait assessment …
Causality analysis of inertial body sensors for multiple sclerosis diagnostic enhancement
Inertial body sensors have emerged in recent years as an effective tool for evaluating
mobility impairment resulting from various diseases, disorders, and injuries. For example …
mobility impairment resulting from various diseases, disorders, and injuries. For example …
Gait analysis by causal decomposition
Recent studies have investigated bilateral gaits based on the causality analysis of kinetic (or
kinematic) signals recorded using both feet. However, these approaches have not …
kinematic) signals recorded using both feet. However, these approaches have not …
Relationship between gait variables and domains of neurologic dysfunction in multiple sclerosis using six-minute walk test
A Qureshi, M Brandt-Pearce… - 2016 38th Annual …, 2016 - ieeexplore.ieee.org
Most multiple sclerosis (MS) patients eventually suffer from mobility impairment, and thus it is
critical that walking disability in MS be accurately assessed. The six-minute walk test …
critical that walking disability in MS be accurately assessed. The six-minute walk test …
Machine Learning Technique to Monitor Heartbeat using Amalgamated Data of Multi-Sensor Stream
The use of wearable devices in healthcare has become increasingly prevalent, with a focus
on monitoring chronic diseases such as heart rate. Researchers have employed various …
on monitoring chronic diseases such as heart rate. Researchers have employed various …