PlayBionic: Interactive Mobile Training App
PlayBionic
1 other identifier
interventional
8
1 country
1
Brief Summary
Often prosthesis users abandon their devices due to difficulties in prosthesis control and lack of motivation to train. To properly control a prosthesis, amputation patients must learn how to activate, isolate and sustain nerve signals to the muscles left at the stump. Results of clinical validations show that game-based training leads to an improvement in clinical parameters for prosthesis control and patient engagement.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Apr 2018
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 24, 2018
CompletedStudy Start
First participant enrolled
April 24, 2018
CompletedFirst Posted
Study publicly available on registry
June 6, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2019
CompletedJune 6, 2018
May 1, 2018
9 months
April 24, 2018
May 23, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Maximum Voluntary Contraction
Testing the patients voluntary myoelectric (EMG) contraction strength, given in millivolt (mV). This assessment is used as a calibration of the voltage detected by the electrodes. Participants are asked to maximally contract one muscle and to hold this contraction for 1.3 seconds, of which only the last second is taken for calculating the activation baseline.
10 minutes
Precision Control
Testing the patient's ability to precisely control their muscle contraction, given in percentage of target deviation. The Assessment of Precision Control evaluates the participant's fine EMG control accuracy. The range of this test was adapted based on the outcome of the MVC test. The participant is asked to reach 30 randomly preselected activation levels in the range of 10-90% of maximum voluntary contraction, and sustain them for 300 milliseconds each. The required level of activation is indicated by a triangular mark on the EMG bar. A total of 30 marks (3 trials consisting of 10 levels) are performed. The percentile deviation from the mark is taken as outcome measure.
30 minutes
Endurance Control
The Assessment of Endurance Control assesses muscle coordination and muscle fatigue while the participants used their EMG signals to closely follow a sine curve o 1/4 hertz on the screen until they feel fatigued. The estimated force needed to reach the peaks of the sine curve corresponds to 60% maximum voluntary contraction. Electrode activation needs to be separate to reach the peaks of the sine curve. The minimum time to be reached in this test is 5 minutes. The outcome measure is the EMG signal deviation from the desired sine curve, given as correlation r².
15 minutes
Secondary Outcomes (1)
Phantom limb pain
At the beginning and at the end of the study (after 4 weeks)
Study Arms (1)
MyoBeatz
EXPERIMENTALThe intervention consists of playing with the smartphone training program using the muscle signals picked up by surface electrodes. The study will run over a period of 5 weeks, with participants playing with the training program at home for 4 weeks.
Interventions
Training of the patient's muscle coordination, strength and ability to separately contract muscles, while holding up patient motivation. The patient is expected to follow a protocol of 4 weeks of training.
Eligibility Criteria
You may qualify if:
- Transradial amputees are included in the study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Medical University of Vienna, CD Laboratory for Restoration of Extremity Function
Vienna, 1090, Austria
Related Publications (1)
Prahm C, Vujaklija I, Kayali F, Purgathofer P, Aszmann OC. Game-Based Rehabilitation for Myoelectric Prosthesis Control. JMIR Serious Games. 2017 Feb 9;5(1):e3. doi: 10.2196/games.6026.
PMID: 28183689BACKGROUND
Study Officials
- STUDY CHAIR
Oskar Aszmann, Prof.
Medical University of Vienna
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MSc, BA
Study Record Dates
First Submitted
April 24, 2018
First Posted
June 6, 2018
Study Start
April 24, 2018
Primary Completion
February 1, 2019
Study Completion
April 1, 2019
Last Updated
June 6, 2018
Record last verified: 2018-05