AIMC Topic: Torso

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Quantifying trunk neuromuscular control using seated balancing and stability threshold.

Journal of biomechanics Sep 9, 2020
Performance during seated balancing is often used to assess trunk neuromuscular control, including evaluating impairments in back pain populations. Balancing in less challenging environments allows for flexibility in control, which may not depend on ...
Robotics Postural Balance Body Weight Torso Humans Female Reproducibility of Results Posture
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Using a Motion Sensor to Categorize Nonspecific Low Back Pain Patients: A Machine Learning Approach.

Sensors (Basel, Switzerland) Jun 26, 2020
Nonspecific low back pain (NSLBP) constitutes a critical health challenge that impacts millions of people worldwide with devastating health and socioeconomic consequences. In today's clinical settings, practitioners continue to follow conventional gu...
Biomechanical Phenomena Middle Aged Low Back Pain Torso Humans Machine Learning Adult
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The detection of age groups by dynamic gait outcomes using machine learning approaches.

Scientific reports Mar 10, 2020
Prevalence of gait impairments increases with age and is associated with mobility decline, fall risk and loss of independence. For geriatric patients, the risk of having gait disorders is even higher. Consequently, gait assessment in the clinics has ...
Humans Neural Networks, Computer Machine Learning Adult Male Middle Aged Adolescent Algorithms Female Aged Young Adult Acceleration Walking Speed Torso Support Vector Machine Postural Balance Gait
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A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities.

Medical engineering & physics Feb 27, 2020
Prediction of ground reaction force (GRF) magnitudes during running-based sports has several important applications, including optimal load prescription and injury prevention in athletes. Existing methods typically require information from multiple b...
Torso Neural Networks, Computer Female Young Adult Biomechanical Phenomena Male Running Humans Acceleration Mechanical Phenomena
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Decentralized control with cross-coupled sensory feedback between body and limbs in sprawling locomotion.

Bioinspiration & biomimetics Sep 24, 2019
Quadrupeds achieve rapid and highly adaptive locomotion owing to the coordination between their legs and other body parts such as their trunk, head, and tail, i.e. body-limb coordination. Therefore, a better understanding of the mechanism underlying ...
Caudata Locomotion Extremities Feedback, Sensory Torso Neural Networks, Computer Biomechanical Phenomena Animals Models, Theoretical Robotics Equipment Design
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Automatically Evaluating Balance: A Machine Learning Approach.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 4, 2019
Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (PTs). In this paper, we analyze the feasibility of using trunk sway data and machine learning (ML) t...
Torso Vestibular Diseases Exercise Therapy Physical Therapy Modalities Physical Education and Training Self-Assessment Support Vector Machine Models, Statistical Postural Balance Humans Machine Learning Female Reproducibility of Results Aged Male Middle Aged Pilot Projects
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Wheelchair propulsion: Force orientation and amplitude prediction with Recurrent Neural Network.

Journal of biomechanics Jul 31, 2018
The aim of this study was to use Recurrent Neural Network (RNN) to predict the orientation and amplitude of the applied force during the push phase of manual wheelchair propulsion. Trunk and the right-upper limb kinematics data were assessed with an ...
Humans Neural Networks, Computer Female Adult Biomechanical Phenomena Male Equipment Design Motion Acceleration Arm Mechanical Phenomena Wheelchairs Torso
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Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning.

Journal of healthcare engineering Jul 16, 2018
This study aimed at elucidating the relationship between the number of computed tomography (CT) images, including data concerning the accuracy of models and contrast enhancement for classifying the images. We enrolled 1539 patients who underwent cont...
Deep Learning Image Processing, Computer-Assisted Torso Aged Adult Male Middle Aged Brain Humans Tomography, X-Ray Computed Databases, Factual Female
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Anticipatory detection of turning in humans for intuitive control of robotic mobility assistance.

Bioinspiration & biomimetics Sep 26, 2017
Many wearable lower-limb robots for walking assistance have been developed in recent years. However, it remains unclear how they can be commanded in an intuitive and efficient way by their user. In particular, providing robotic assistance to neurolog...
Robotics Pelvis Walking Prosthesis Design Humans Biomechanical Phenomena Torso Head Orientation Task Performance and Analysis Locomotion Orthotic Devices
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Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.

IEEE transactions on medical imaging Feb 3, 2016
In general image recognition problems, discriminative information often lies in local image patches. For example, most human identity information exists in the image patches containing human faces. The same situation stays in medical images as well. ...
Torso Middle Aged Aged Child Infant Humans Aged, 80 and over Neural Networks, Computer Image Interpretation, Computer-Assisted Adolescent Young Adult Tomography, X-Ray Computed Face Child, Preschool Adult Extremities
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