Strategies to Control Robotic Hand Prosthesis Via HD-sEMG and to Restore Sensory Feedback Via TENS
Development of Innovative Strategies for the Control of Robotic Hand Prostheses Based on High-density Electromyography and Restitution of Sensory Feedback Via Trans-cutaneous Electrical Stimulation
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Emanuele Gruppioni, PhD
- Phone Number: +390516936609
- Email: e.gruppioni@inail.it
Study Locations
-
-
BO
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Budrio, BO, Italy, 40054
- Recruiting
- Centro Protesi Inail
-
Contact:
- Emanuele Gruppioni, PhD
- Phone Number: +390516936609
- Email: e.gruppioni@inail.it
-
Contact:
- Email: e.gruppioni@inail.it
-
Principal Investigator:
- Emanuele Gruppioni, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Upper limb amputation;
- Stable clinical condition;
- Skin integrity of the stump;
- Age between 18 and 65 years;
- High level of motivation to participate in the study and acceptance of the purpose of the study;
- Signed informed consent document.
Exclusion Criteria:
- Clinical instability;
- Dehiscence of the amputation wound;
- Failure to complete the informed consent;
- State of pregnancy;
- Implanted devices that can interfere with TENS stimulation (e.g. pacemakers);
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: All participants
|
Measurement of muscle electrical signal with HD-sEMG sensors, training of a pattern recognition classifier for hand gesture recognition, verification and comparison with state of the art.
Application of TENS by means of non-invasive superifical electrodes on the stump skin of the participants to restore multimodal somatotopical sensations of mechanoception, nociception and thermoception.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Improve gestures decoding by means of HD-sEMG decoding algorithms
Time Frame: through study completion, an average of 2 year through study completion, an average of 2 year
|
The performance of HD-sEMG classifiers with variable number of classes will be evaluated in the offline phase in terms of accuracy of classification and F1-Score.
|
through study completion, an average of 2 year through study completion, an average of 2 year
|
|
Elicit somatic sensations in amputees
Time Frame: through study completion, an average of 2 year through study completion, an average of 2 year
|
The performance of the stimulation strategy will be evaluated in terms of stimulus discrimination accuracy, a parameter that identifies the number of times the subject correctly reports the type of sensation elicited by the experimenter compared to the total number of stimulations performed.
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through study completion, an average of 2 year through study completion, an average of 2 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Increase the number of hand grasps to be classfiied
Time Frame: through study completion, an average of 2 year through study completion, an average of 2 year
|
To explore the possibility of increasing the number of gestures that can be classified by the developed classification system, compared to the number of gestures that can be reproduced by prosthetic control solutions traditional and to evaluate the intuitiveness in using classifiers to control a polyarticulated prosthesis.
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through study completion, an average of 2 year through study completion, an average of 2 year
|
|
Development of encoding strategies
Time Frame: through study completion, an average of 2 year through study completion, an average of 2 year
|
Develop new algorithms for decoding motor intention from the myoelectric signal and new encoding algorithms for the sensory restitution by non-invasive stimulation and to evaluate the intuitiveness of the developed strategies.
|
through study completion, an average of 2 year through study completion, an average of 2 year
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- CP-PAS-01-23
- 528-2023 (Other Identifier: Ethics Committee)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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