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

February 24, 2026 updated by: Amjed Abdulameer Hussein, Al-Nahrain University

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

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.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Detailed Description

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.

Study Type

Interventional

Enrollment (Actual)

1

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Iraq
    • Baghdad Governorate
      • Baghdad, Baghdad Governorate, Iraq, 10070
        • Al-Nahrain University, College of Engineering

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

No

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Device Feasibility
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Experimental Arm.
A single participant with a transradial amputation who will use the 3D-printed robotic hand to perform grasping tasks. The study evaluates the performance of the device using both AI-based control and traditional programming to compare grasping accuracy and efficiency for this individual.
Device: AI-Powered Robotic Hand
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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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."
During the experimental testing sessions (approximately 1 day).

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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
During the real-time control evaluation

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Al-Nahrain University

Investigators

  • Study Director: Wajdi Sadik Aboud, Prof. Dr., Al-Nahrain University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

  • Al-Musawi, A. A., & Aboud, W. S. (2025). Literature review on the design and fabrication of an intelligent robotic hand for grasping various objects using artificial intelligence. Journal of Engineering and Applied Science, 72(1). https://doi.org/10.1186/s44147-025-00773-y

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 12, 2026

Primary Completion (Estimated)

June 1, 2026

Study Completion (Estimated)

September 1, 2026

Study Registration Dates

First Submitted

February 20, 2026

First Submitted That Met QC Criteria

February 24, 2026

First Posted (Actual)

February 27, 2026

Study Record Updates

Last Update Posted (Actual)

February 27, 2026

Last Update Submitted That Met QC Criteria

February 24, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • NUBME-2/2026

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data will not be shared to protect the privacy and confidentiality of the single participant involved in this case study, as the data includes sensitive EMG signals and physical scanning information that could potentially identify the individual.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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