AIMC Topic: Biomechanical Phenomena

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Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound.

Journal of visualized experiments : JoVE
With the potential for high precision, dexterity, and repeatability, a self-tracked robotic system can be employed to assist the acquisition of real-time ultrasound. However, limited numbers of robots designed for extra-corporeal ultrasound have been...

Shape memory alloy reinforced 5 mm ultra-thin rigid link surgical instrument with force-feedback.

Journal of medical engineering & technology
We report the development of a rigid link surgical instrument for surgical robotics. The device is only 5 mm in diameter and equipped with a shape memory alloy for better gripping, which avoids the use of mechanical gears. This ultra-thin instrument ...

Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.

Biomedical engineering online
BACKGROUND: A direct blow to the knee is one way to injure the anterior cruciate ligament (ACL), e.g., during a football or traffic accident. Robot-assisted therapy (RAT) rehabilitation, simulating regular walking, improves walking and balance abilit...

A Deep Neural Network-based method for estimation of 3D lifting motions.

Journal of biomechanics
The aim of this study is developing and validating a Deep Neural Network (DNN) based method for 3D pose estimation during lifting. The proposed DNN based method addresses problems associated with marker-based motion capture systems like excessive pre...

Sensorimotor Robotic Measures of tDCS- and HD-tDCS-Enhanced Motor Learning in Children.

Neural plasticity
Transcranial direct-current stimulation (tDCS) enhances motor learning in adults. We have demonstrated that anodal tDCS and high-definition (HD) tDCS of the motor cortex can enhance motor skill acquisition in children, but behavioral mechanisms remai...

A hypothetical neural network model for generation of human precision grip.

Neural networks : the official journal of the International Neural Network Society
Humans can stably hold and skillfully manipulate an object by coordinated control of a complex, redundant musculoskeletal system. However, how the human central nervous system actually accomplishes precision grip tasks by coordinated control of finge...

From deep learning to transfer learning for the prediction of skeletal muscle forces.

Medical & biological engineering & computing
Skeletal muscle forces may be estimated using rigid musculoskeletal models and neural networks. Neural network (NN) approach has the advantages of real-time estimation ability and promising prediction accuracy. However, most of the developed NN model...

Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning.

Journal of sports sciences
Fast bowlers are at a high risk of overuse injuries. There are specific bowling frequency ranges known to have negative or protective effects on fast bowlers. Inertial measurement units (IMUs) can classify movements in sports, however, some commercia...

Toward Standardizing the Classification of Robotic Gait Rehabilitation Systems.

IEEE reviews in biomedical engineering
With the existence of numerous rehabilitation systems, classification and comparison becomes difficult, especially due to the many factors involved. Moreover, most current reviews are descriptive and do not provide systematic methods for the visual c...

Maneuvering and stabilization control of a bipedal robot with a universal-spatial robotic tail.

Bioinspiration & biomimetics
This paper analyzes control methodologies to implement maneuvering and stabilization behaviors in a bipedal robot using a bioinspired robotic tail. Looking to nature, numerous animals augment their legs' functionality using a tail nature, numerous an...