Transradial AmputationNCT07437664
A Computer-Aided Design Approach for Customized Soft Transradial Prosthetic Sockets Using 3D Scanning
A study testing AI-Powered Robotic Hand in people with Transradial Amputation and Upper Limb Amputation Below Elbow, run by Al-Nahrain University at 1 site in Iraq.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 60 years, men only
- Conditions the study is for
- Transradial Amputation, Upper Limb Amputation Below Elbow, Upper Limb Amputation
- What is being tested?
- AI-Powered Robotic Hand
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 1 participants
- Where
- 1 siteIraq
- Study dates
- 12 Feb 2026to 1 Sep 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 60 years
- Men only
- No healthy volunteers
- Adult
Who may be able to join
- 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.
Who cannot join
- 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.
Trial locations and contacts
1 site in 1 country.
Iraq1 site
Al-Nahrain University, College of Engineering
Baghdad, Baghdad Governorate, 10070
About this study
Official title: 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.
Read the 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.
- Being tested
- AI-Powered Robotic Hand
- Keywords
- Robotic Hand, Artificial Intelligence, 3D Scanning, 3D Printing, Low-cost Prosthetics, Adaptive Grasping, EMG
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-Powered Robotic HandDevice
Also called Intelligent Prosthetic 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.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Device: AI-Powered Robotic Hand |
What is being measured
The primary outcome is the main question the study is designed to answer.
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."
Measured: During the experimental testing sessions (approximately 1 day).
Secondary outcomes (1)
Real-time AI Classification Latency
Measurement of the time delay (in milliseconds) required by the AI algorithm to process raw EMG data and identify the intended grasp pattern
Measured: During the real-time control evaluation
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Feb 2026
- Study start12 Feb 2026
- Primary completion1 Jun 2026 (estimated)
- Study completion1 Sep 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Transradial AmputationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Device feasibility
- Allocation
- Not applicable
- Intervention model
- Single group
- Model description
- A single-arm feasibility study to compare AI-based grasping control versus traditional rule-based programming in a 3D-printed prosthetic hand.
- Masking
- None (open label)
- Enrolment
- 1 participants (actual)
Sponsor and investigators
- Lead sponsor
- Al-Nahrain University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Amjed Abdulameer Hussein, Al-Nahrain University
- Investigators
- Wajdi Sadik Aboud, Prof. Dr., Study director, Al-Nahrain University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07437664
- Sponsor's protocol ID
- NUBME-2/2026
- Status last verified
- Feb 2026
- First submitted
- 20 Feb 2026
- Last updated
- 27 Feb 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: 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.
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 at a glance
From the registry record, last updated by the sponsor on 27 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Design and Fabrication of an Intelligent Robotic Hand for Grasping Various Objects Using Artificial Intelligence
- ClinicalTrials.gov ID
- NCT07437664
- Acronym / sponsor ID
- NUBME-2/2026
- Keywords
- Robotic Hand, Artificial Intelligence, 3D Scanning, 3D Printing, Low-cost Prosthetics, Adaptive Grasping, EMG
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 1 participants (actual)
- Lead sponsor
- Al-Nahrain UniversityUniversity, hospital or other
- Study start
- 12 Feb 2026 (actual)
- Primary completion
- 1 Jun 2026 (estimated)
- Study completion
- 1 Sep 2026 (estimated)
- First posted
- 27 Feb 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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 design
- Primary purpose
- Device feasibility
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
- Model description
- A single-arm feasibility study to compare AI-based grasping control versus traditional rule-based programming in a 3D-printed prosthetic hand.
| Arm | Type | Receives |
|---|---|---|
| Experimental Arm. | Experimental | Device: AI-Powered Robotic HandA 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. |
Who may qualify
- Ages
- 18 to 60 years
- Sex
- Male only
- Healthy volunteers
- Not accepted
- Age groups
- Adult
Key inclusion criteria (4 listed)
- 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.
Key exclusion criteria (3 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-Powered Robotic HandAlso: Intelligent Prosthetic HandA 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. | Device | Experimental Arm. |
Primary outcome
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."
1 secondary outcome
Real-time AI Classification Latency
Time frame: During the real-time control evaluation
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Feb 2026.
- BackgroundAl-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
- Individual participant dataSharing planned: No. 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.
Related trials for Transradial Amputation
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Improving Prosthetic Arms for Amputee: A Better Fit and More Functionality
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Recruiting
Evaluation of the Phantom X Implantable EMG Sensor System for Myoelectric Prosthesis Control
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Wajdi Sadik Aboud, Prof. Dr. study director
Al-Nahrain University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-Powered Robotic Hand in people with Transradial Amputation and Upper Limb Amputation Below Elbow, run by Al-Nahrain University at 1 site in Iraq.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 27 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Iraq. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Feasibility and Technical Performance of the AI-driven Prosthetic System. (time frame: During the experimental testing sessions (approximately 1 day).). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07437664, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Feb 2026.