AI Medical Compendium Topic:
Muscle, Skeletal

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Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Restorative neurology and neuroscience
BACKGROUND: Robotic rehabilitation is a highly promising approach to recover lost functions after stroke or other neurological disorders. Unfortunately, robotic rehabilitation currently suffers from "motor slacking", a phenomenon in which the human m...

Muscle Segmentation for Orthopedic Interventions.

Advances in experimental medicine and biology
Skeletal muscle segmentation techniques can help orthopedic interventions in various scenes. In this chapter, we describe two methods of skeletal muscle segmentation on 3D CT images. The first method is based on a computational anatomical model, and ...

A wearable resistive robot facilitates locomotor adaptations during gait.

Restorative neurology and neuroscience
BACKGROUND: Robotic-resisted treadmill walking is a form of task-specific training that has been used to improve gait function in individuals with neurological injury, such as stroke, spinal cord injury, or cerebral palsy. Traditionally, these device...

Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis.

Journal of digital imaging
Pretreatment risk stratification is key for personalized medicine. While many physicians rely on an "eyeball test" to assess whether patients will tolerate major surgery or chemotherapy, "eyeballing" is inherently subjective and difficult to quantify...

Inverse estimation of multiple muscle activations based on linear logistic regression.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This study deals with a technology to estimate the muscle activity from the movement data using a statistical model. A linear regression (LR) model and artificial neural networks (ANN) have been known as statistical models for such use. Although ANN ...

Effect of human-robot interaction on muscular synergies on healthy people and post-stroke chronic patients.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robot-assisted training is a widely used technique to promote motor re-learning on post-stroke patients that suffer from motor impairment. While it is commonly accepted that robot-based therapies are potentially helpful, strong insights about their e...

Biomechanical effects of robot assisted walking on knee joint kinematics and muscle activation pattern.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Since manual rehabilitation therapy can be taxing for both the patient and the physiotherapist, a gait rehabilitation robot has been built to reduce the physical strain and increase the efficacy of the rehabilitation therapy. The prototype of the gai...

The effect of haptic interaction between balance assessment robot and pelvis on muscle activation of leg muscles.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Admittance control is considered as a promising paradigm in rehabilitation that provides us with means to establish well controlled and adjustable interaction and cooperation between rehabilitation devices and patients. Recently we developed balance ...

A novel method for muscle fatigue assessment during robot-based tracking tasks.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this work we propose a novel method based on sEMG signals, easy and fast to perform, administered with a robotic device to maximize repeatability and objectivity. Muscle fatigue, which is frequently experienced by healthy subjects, can be a highly...