AIMC Topic: Walking

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Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms.

Scientific reports Dec 10, 2020
The nature of the recovery process of posttraumatic stress disorder (PTSD) symptoms is multifactorial. The Massive Parallel Limitless-Arity Multiple-testing Procedure (MP-LAMP), which was developed to detect significant combinational risk factors com...
Humans Adult Male Middle Aged Severity of Illness Index Machine Learning Female Risk Factors Aged Walking Rest Risk Emergency Shelter Stress Disorders, Post-Traumatic Unemployment Predictive Value of Tests
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Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture.

Computer methods in biomechanics and biomedical engineering Dec 8, 2020
We aimed to determine whether artificial intelligence (AI)-assisted markerless motion capture software is useful in the clinical medicine and rehabilitation fields. Currently, it is unclear whether the AI-assisted markerless method can be applied to ...
Range of Motion, Articular Ankle Joint Foot Gait Disorders, Neurologic Gait Motion Healthy Volunteers Foot Orthoses Humans Artificial Intelligence Biomechanical Phenomena Male Exercise Test Knee Joint Walking
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Deep Neural Network for Slip Detection on Ice Surface.

Sensors (Basel, Switzerland) Dec 2, 2020
Slip-induced falls are among the most common causes of major occupational injuries and economic loss in Canada. Identifying the risk factors associated with slip events is key to developing preventive solutions to reduce falls. One factor is the slip...
Canada Walking Ice Shoes Humans Neural Networks, Computer Accidental Falls
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Accelerometer-Based Human Activity Recognition for Patient Monitoring Using a Deep Neural Network.

Sensors (Basel, Switzerland) Nov 10, 2020
The objective of this study was to investigate the accuracy of a Deep Neural Network (DNN) in recognizing activities typical for hospitalized patients. A data collection study was conducted with 20 healthy volunteers (10 males and 10 females, age = 4...
Supine Position Stair Climbing Walking Accelerometry Human Activities Female Humans Hospitalization Neural Networks, Computer Adult Male Middle Aged Support Vector Machine Monitoring, Physiologic Posture
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Machine Learning Approaches for Activity Recognition and/or Activity Prediction in Locomotion Assistive Devices-A Systematic Review.

Sensors (Basel, Switzerland) Nov 6, 2020
Locomotion assistive devices equipped with a microprocessor can potentially automatically adapt their behavior when the user is transitioning from one locomotion mode to another. Many developments in the field have come from machine learning driven c...
Algorithms Walking Locomotion Self-Help Devices Humans Machine Learning
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Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum.

Sensors (Basel, Switzerland) Nov 4, 2020
Kinetics data such as ground reaction forces (GRFs) are commonly used as indicators for rehabilitation and sports performance; however, they are difficult to measure with convenient wearable devices. Therefore, researchers have attempted to estimate ...
Walking Gait Analysis Sacrum Wearable Electronic Devices Lower Extremity Kinetics Humans Machine Learning Biomechanical Phenomena
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Effects of selectively assisting impaired subtasks of walking in chronic stroke survivors.

Journal of neuroengineering and rehabilitation Oct 28, 2020
BACKGROUND: Recently developed controllers for robot-assisted gait training allow for the adjustment of assistance for specific subtasks (i.e. specific joints and intervals of the gait cycle that are related to common impairments after stroke). Howev...
Humans Walking Female Exoskeleton Device Adult Gait Disorders, Neurologic Survivors Male Stroke Rehabilitation Middle Aged Robotics
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Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach.

Gait & posture Oct 27, 2020
BACKGROUND: Inertial measurement units (IMUs) are promising tools for collecting human movement data. Model-based filtering approaches (e.g. Extended Kalman Filter) have been proposed to estimate joint angles from IMUs data but little is known about ...
Walking Running Male Deep Learning Wearable Electronic Devices Humans Female Adult Biomechanical Phenomena
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Electromechanical-assisted training for walking after stroke.

The Cochrane database of systematic reviews Oct 22, 2020
BACKGROUND: Electromechanical- and robot-assisted gait-training devices are used in rehabilitation and might help to improve walking after stroke. This is an update of a Cochrane Review first published in 2007 and previously updated in 2017.
Equipment Design Cause of Death Walking Electric Stimulation Therapy Gait Stroke Rehabilitation Combined Modality Therapy Exercise Therapy Middle Aged Confidence Intervals Odds Ratio Randomized Controlled Trials as Topic Humans Walking Speed Robotics Aged Orthotic Devices Bias
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Spiking neural state machine for gait frequency entrainment in a flexible modular robot.

PloS one Oct 21, 2020
We propose a modular architecture for neuromorphic closed-loop control based on bistable relaxation oscillator modules consisting of three spiking neurons each. Like its biological prototypes, this basic component is robust to parameter variation but...
Gait Neurons Animals Locomotion Humans Neural Networks, Computer Models, Neurological Algorithms Robotics Walking
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