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NCT Number: NCT07437664

A Computer-Aided Design Approach for Customized Soft Transradial Prosthetic Sockets Using 3D Scanning

The purpose of this research is to create an intelligent robotic hand for people who have lost a limb below their elbow. By using artificial intelligence to adaptively grasp different types of objects, this will improve both the accuracy and flexibility of robotic prosthetic control. In addition, the project will integrate mechanical design and artificial intelligence based controls in order to produce a more functional and user-friendly prosthetic solution.

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This study is active but is not currently recruiting participants.

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Key information

Conditions

Transradial Amputation Upper Limb Amputation Upper Limb Amputation Below Elbow

Age range

18 year–60 year

Sex eligibility

Male

Study type

Interventional

Phase

Not applicable

Primary location

Al-Nahrain University, College of Engineering

Baghdad, Baghdad Governorate, 10070, Iraq

About this study

This research develops a low-cost, AI-powered prosthetic system for individuals with transradial amputations. The process begins with a 3D scan of the participant's residual limb to design customized, 3D-printed sockets and robotic hands. The core of the system integrates Artificial Intelligence to classify surface Electromyography (EMG) signals captured from the limb's muscles. This AI-driven pattern recognition allows for adaptive grasping of various objects. The study's primary objective is to compare this AI control system against traditional rule-based EMG programming. Both systems will be evaluated based on their effectiveness, adaptability, and response efficiency while the participant performs real-world grasping activities.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Participants with unilateral transradial amputation.
  • Age between 18 and 60 years.
  • Sufficient muscle activity in the residual limb to generate detectable EMG signals.
  • Stable physical and mental health condition to undergo the testing.

Exclusion criteria

  • History of severe skin diseases or open wounds at the site of EMG electrode placement.
  • Cognitive impairments that prevent the participant from understanding or following instructions.
  • Participation in other clinical trials that might interfere with the current study outcomes.

Treatment and study plan

AI-Powered Robotic Hand

Device

A low-cost, 3D-printed prosthetic hand and customized socket. The device uses AI algorithms to identify objects and adapt grasping patterns, which will be compared against standard rule-based programming.

Other names: Intelligent Prosthetic Hand

Primary outcomes

  1. Feasibility and Technical Performance of the AI-driven Prosthetic System.

    Time frame: During the experimental testing sessions (approximately 1 day).

    To evaluate the feasibility of the integrated prosthetic system (3D-printed socket and AI-controlled hand). Feasibility will be assessed by the successful execution of grasp commands using EMG signal classification and the mechanical stability of the 3D-printed components during real-world tasks. This includes the system's ability to maintain functional operation throughout the testing session without hardware or software failure."

Secondary outcomes

  1. Real-time AI Classification Latency

    Time frame: During the real-time control evaluation

    Measurement of the time delay (in milliseconds) required by the AI algorithm to process raw EMG data and identify the intended grasp pattern

Sponsors and collaborators

Lead sponsor

Al-Nahrain University

Other

Registry information

Official study title

Design and Fabrication of an Intelligent Robotic Hand for Grasping Various Objects Using Artificial Intelligence

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Feb 27, 2026
Registry last updated
Feb 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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