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Related Concept Videos

Veins of Upper Limbs01:17

Veins of Upper Limbs

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The human circulatory system, a marvel of biological engineering, is a complex network of vessels that transport blood throughout the body. Among these, the veins responsible for carrying blood from the upper limbs are divided into two categories: deep and superficial.
The deep venous system is primarily composed of the ulnar and radial veins. The ulnar vein, which drains the fingers through the superficial palmar venous arches, and the radial vein, which serves the palms via the deep palmar...
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Arteries of the Upper Limbs01:12

Arteries of the Upper Limbs

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The subclavian artery transitions into the axillary artery as it exits the chest and enters the axillary region. This artery is critical for supplying blood to the shoulder area, including the head of the humerus, through the humeral circumflex arteries. As the vessel continues into the upper arm or brachium, it becomes the brachial artery. This artery plays a key role in vascularizing the brachial region and bifurcates at the elbow into several branches. These branches include the deep...
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Bones of the Upper Limb: Ulna01:15

Bones of the Upper Limb: Ulna

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The ulna and radius are parallel bones of the antebrachium or the forearm. The ulna lies medially and consists of a bony tip called the olecranon process at its proximal end. This hook-like projection articulates with the olecranon fossa of the humerus and forms the "hinged" ulnohumeral part of the elbow joint. This joint facilitates forearm extension and flexion while preventing its hyperextension. Similarly, the coronoid process, another bony projection on the proximal/anterior side...
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Bones of the Upper Limb: Radius01:09

Bones of the Upper Limb: Radius

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The radius is longer of the two bones that make up the human antebrachium or forearm. At the proximal end, the radius articulates with the capitulum of the humerus and the radial notch of the ulna to form the elbow joint. At the distal end, the radius articulates with the ulna via the ulnar notch, forming the distal radioulnar joint. Distally, the radius also attaches to the carpal wrist bones (scaphoid and lunate) to form the radiocarpal joint.
The radius has a nail-shaped head, and a...
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Bones of the Upper Limb: Humerus01:19

Bones of the Upper Limb: Humerus

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The upper limb consists of the arm, forearm, wrist, and hand bones. The humerus is the single bone of the upper arm region. Proximally, it has a large, spherical, smooth head that articulates with the glenoid cavity of the scapula to form the glenohumeral or shoulder joint. The margin of the head is the anatomical neck, a residual epiphyseal plate. Laterally it extends to form bony projections called the greater tubercle and the lesser tubercle. Next to the tubercles is the surgical neck, a...
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Exercise and Muscle Performance01:27

Exercise and Muscle Performance

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Exercise induces a range of adaptations in muscle tissue, depending on the type and duration of activity. Such physical training can be broadly categorized into two types: endurance exercises and resistance exercises.
Endurance exercises
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Related Experiment Video

Updated: Jan 26, 2026

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
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Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

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Kinect-Assisted Performance-Sensitive Upper Limb Exercise Platform for Post-stroke Survivors.

Adyasha Dash1, Anand Yadav1, Anand Chauhan1

  • 1Department of Electrical Engineering, Indian Institute of Technology Gandhinagar, Gandhinagar, India.

Frontiers in Neuroscience
|April 11, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a Kinect-assisted system for upper limb rehabilitation after stroke. The adaptive technology helps improve task performance and offers a potential solution for accessible, engaging stroke recovery.

Keywords:
adaptive designcomputer-based-taskphysiologystrokeupper limb

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Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
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Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
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Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

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Related Experiment Videos

Last Updated: Jan 26, 2026

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
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Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
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Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
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Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Science
  • Human-Computer Interaction

Background:

  • Upper limb dysfunction after stroke significantly impacts daily living and community participation.
  • Conventional one-on-one therapy is often limited by high patient-to-therapist ratios, especially in developing countries.
  • Existing marker-based rehabilitation systems can be expensive, lack portability, and require dedicated lab space.

Purpose of the Study:

  • To develop and evaluate a Kinect-assisted computer-based system for upper limb rehabilitation.
  • To assess the system's usability and effectiveness in improving task performance for post-stroke patients.
  • To explore the system's potential as an adaptive rehabilitation platform using Human Computer Interaction (HCI) tasks.

Main Methods:

  • Developed a Kinect-assisted system with adaptive Human Computer Interaction (HCI) tasks targeting upper limb reaching and coordination.
  • Tested system usability with 15 healthy participants.
  • Evaluated the system with seven post-stroke patients over two weeks, monitoring task performance and mean tonic activity.

Main Results:

  • The Kinect-assisted system demonstrated potential for improving task performance in post-stroke patients.
  • The system adapted to individual residual movement abilities, offering individualized rehabilitation.
  • Mean tonic activity correlated with HCI task performance, suggesting its utility as a recovery indicator.

Conclusions:

  • Kinect-assisted computer-based systems offer a promising, accessible tool for upper limb stroke rehabilitation.
  • The developed system shows potential for enhancing functional recovery and task performance in post-stroke individuals.
  • Adaptive HCI tasks can provide engaging and effective rehabilitation, complementing traditional therapies.