NCT07437664

Brief Summary

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.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1

participants targeted

Target at below P25 for not_applicable

Timeline
1mo left

Started Feb 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress85%
Feb 2026Sep 2026

Study Start

First participant enrolled

February 12, 2026

Completed
8 days until next milestone

First Submitted

Initial submission to the registry

February 20, 2026

Completed
7 days until next milestone

First Posted

Study publicly available on registry

February 27, 2026

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2026

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2026

Expected
Last Updated

February 27, 2026

Status Verified

February 1, 2026

Enrollment Period

4 months

First QC Date

February 20, 2026

Last Update Submit

February 24, 2026

Conditions

Transradial AmputationUpper Limb Amputation Below ElbowUpper Limb Amputation

Keywords

Robotic HandArtificial Intelligence3D Scanning3D PrintingLow-cost ProstheticsAdaptive GraspingEMG

Outcome Measures

Primary Outcomes (1)

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

    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 Outcomes (1)

  • Real-time AI Classification Latency

    During the real-time control evaluation

Study Arms (1)

Experimental Arm.

EXPERIMENTAL

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

Interventions

AI-Powered Robotic HandDEVICE

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.

Also known as: Intelligent Prosthetic Hand
Experimental Arm.

Eligibility Criteria

Age18 Years - 60 Years
Sexmale
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • 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.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Al-Nahrain University, College of Engineering

Baghdad, Baghdad Governorate, 10070, Iraq

Location

Related Publications (1)

  • 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

    BACKGROUND

Study Officials

  • Wajdi Sadik Aboud, Prof. Dr.

    Al-Nahrain University

    STUDY DIRECTOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
DEVICE FEASIBILITY
Intervention Model
SINGLE GROUP
Model Details: A single-arm feasibility study to compare AI-based grasping control versus traditional rule-based programming in a 3D-printed prosthetic hand.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Master's Student

Study Record Dates

First Submitted

February 20, 2026

First Posted

February 27, 2026

Study Start

February 12, 2026

Primary Completion

June 1, 2026

Study Completion (Estimated)

September 1, 2026

Last Updated

February 27, 2026

Record last verified: 2026-02

Data Sharing

IPD Sharing
Will not share

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.

Locations

IR(1)