AIMC Topic: Arm

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Assessing the Effects of Deep Learning Reconstruction on Abdominal CT Without Arm Elevation.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
To evaluate the effects of deep learning reconstruction (DLR) on image quality of abdominal computed tomography (CT) in patients without arm elevation compared with hybrid-iterative reconstruction (Hybrid-IR) and filtered back projection (FBP). In ...

Gender classification from anthropometric measurement by boosting decision tree: A novel machine learning approach.

Journal of the National Medical Association
The decision tree used a generating set of rules based on various correlated variables for developing an algorithm from the target variable. Using the training dataset this paper used boosting tree algorithm for gender classification from twenty-five...

Preoperative planning of three axis intersection surgical laparoscopic arm system based on characteristic parameters.

International journal of computer assisted radiology and surgery
PURPOSE: The application of robotics in the field of minimally invasive surgery solves some shortcomings of traditional minimally invasive surgery. Preoperative planning is an important prerequisite for the successful completion of robot-assisted sur...

Restoring arm function with a soft robotic wearable for individuals with amyotrophic lateral sclerosis.

Science translational medicine
Despite promising results in the rehabilitation field, it remains unclear whether upper limb robotic wearables, e.g., for people with physical impairments resulting from neurodegenerative disease, can be made portable and suitable for everyday use. W...

The identification of interacting brain networks during robot-assisted training with multimodal stimulation.

Journal of neural engineering
Robot-assisted rehabilitation training is an effective way to assist rehabilitation therapy. So far, various robotic devices have been developed for automatic training of central nervous system following injury. Multimodal stimulation such as visual ...

An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living.

Sensors (Basel, Switzerland)
Most of the humanoid social robots currently diffused are designed only for verbal and animated interactions with users, and despite being equipped with two upper arms for interactive animation, they lack object manipulation capabilities. In this pap...

Adaptive Deformation Control of a Flexible Variable-Length Rotary Crane Arm With Asymmetric Input-Output Constraints.

IEEE transactions on cybernetics
This article constructs two adaptive control laws to achieve deformation reduction and attitude tracking for a rotary variable-length crane arm with system parameter uncertainties and asymmetric input-output constraints. Two auxiliary systems are giv...

Asynchronous Intermittent Regulation of Human Arm Movement with Markovian Jumping Parameters.

Computational intelligence and neuroscience
In this paper, the regulation stability problem of the human arm continuous movement is investigated based on Markovian jumping parameters. In particular, the intermittent control mechanism is adopted in the arm movement regulation procedure to model...

Humans modulate arm stiffness to facilitate motor communication during overground physical human-robot interaction.

Scientific reports
Humans can physically interact with other humans adeptly. Some overground interaction tasks, such as guiding a partner across a room, occur without visual and verbal communication, which suggests that the information exchanges occur through sensing m...

U-DAVIS-Deep Learning Based Arm Venous Image Segmentation Technique for Venipuncture.

Computational intelligence and neuroscience
Arm Venous Segmentation plays a crucial role in smart venipuncture. The difficulties faced in locating veins for intravenous procedures can be diminished using computer vision for vein imaging. To facilitate this, a high-resolution dataset consisting...