Myoelectrically Controlled Augmented Reality and Gaming for the Treatment of Phantom Limb Pain
NCT ID: NCT02281539
Last Updated: 2016-05-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
14 participants
INTERVENTIONAL
2014-09-30
2016-01-31
Brief Summary
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Detailed Description
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The medical device is non-invasive and based on surface electromyography, a standard and widely used clinical and research tool. The surface electrodes are a standard disposable electrodes widely used in clinics and hospitals for EMG and/or ECG.
* Myoelectric amplifiers (battery operated and isolated from the power grid)
* Data acquisition electronics
* Personal computer
* Standard webcam
* Myoelectric pattern recognition (MPR) software
* Virtual Reality (VR)
* Augmented Reality (AR)
* Computer game
The clinical investigation period consists of 12 sessions per patient including 3 short follow-up assessments. Length of the session: 1.5 hours (the first sessions can take longer time due to learning/familiarization). The centers participating in this study can choose between the following treatment administrations:
* 2 times per week (advised)
* 1 time per week
* Daily (5 times per week)
Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Treatment using myoelectric signals
Virtual- and augmented reality, are controlled by the patient's phantom limb using muscle (myoelectric) signals from the stump. The patient learns to reactivate areas in the brain related to motor control of the missing limb. The medical device is non-invasive and based on surface electromyography
Neuromotus
Interventions
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Neuromotus
Eligibility Criteria
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Inclusion Criteria
* The patient has signed a written informed consent.
* Patients must have been treated with at least one of the following therapies:
1. Conventional mirror training
2. Transcutaneous electrical stimulation (TENS)
3. Acupuncture
4. Self-hypnosis
5. Drug-based
* The last session of previous therapies (1 and 2) must be at least 1 month before beginning the treatment here proposed.
* In the case of drug-based treatments (5), the patient must report no PLP reduction for at least 1 month under the drug-based treatment and no variations on the medicaments dose. Any pain reduction potentially attributed to the drug-based treatment must be at least 3 months old.
* At least a portion of biceps and triceps muscles must be present.
Exclusion Criteria
* Upper limb amputees excluding shoulder disarticulation.
* Obese patient will not be automatically excluded, however, an evaluation in the system is required to analyse if sufficient electromyography signals can be recorded.
* Stump pain over 2 VAS of pain.
* Participating in any other clinical study that could interfere with the result in the ongoing study.
* Condition associated with risk of poor protocol compliance.
* Any other condition or symptoms preventing the patient from entering the study, according to the investigator´s judgement.
18 Years
ALL
No
Sponsors
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Sahlgrenska University Hospital
OTHER
Region Örebro County
OTHER
Bräcke diakoni Rehabcenter Sfären
UNKNOWN
University Rehabilitation Institute, Republic of Slovenia
OTHER
Integrum
INDUSTRY
Responsible Party
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Principal Investigators
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Rickard Brånemark, MD MSC, PhD
Role: STUDY_CHAIR
Integrum AB
Kerstin Caine-Winterberger, OT
Role: PRINCIPAL_INVESTIGATOR
Rehabilitation Center for Upper Limb Prosthetics, Sahlgrenska University Hospital
Locations
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Rehabilitation Center for Upper Limb Prosthetics
Gothenburg, , Sweden
Countries
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References
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Ortiz-Catalan M, Sander N, Kristoffersen MB, Hakansson B, Branemark R. Treatment of phantom limb pain (PLP) based on augmented reality and gaming controlled by myoelectric pattern recognition: a case study of a chronic PLP patient. Front Neurosci. 2014 Feb 25;8:24. doi: 10.3389/fnins.2014.00024. eCollection 2014.
Ortiz-Catalan M, Guethmundsdottir RA, Kristoffersen MB, Zepeda-Echavarria A, Caine-Winterberger K, Kulbacka-Ortiz K, Widehammar C, Eriksson K, Stockselius A, Ragno C, Pihlar Z, Burger H, Hermansson L. Phantom motor execution facilitated by machine learning and augmented reality as treatment for phantom limb pain: a single group, clinical trial in patients with chronic intractable phantom limb pain. Lancet. 2016 Dec 10;388(10062):2885-2894. doi: 10.1016/S0140-6736(16)31598-7. Epub 2016 Dec 2.
Other Identifiers
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PLP-004664
Identifier Type: -
Identifier Source: org_study_id
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