Transfemoral Amputation Clinical Trial
— CLs++1stCSOfficial title:
The CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis Plus Plus, 1st Clinical Study: Validation of the Efficacy of the CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis Plus Plus Modules in a Clinical Setting
Verified date | December 2019 |
Source | Fondazione Don Carlo Gnocchi Onlus |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The global goal of the CYBERnetic LowEr-limb coGnitive ortho-prosthesis Plus Plus (CLs++)
project is to validate the technical and economic viability of the powered robotic
ortho-prosthesis developed within the 7th Framework Program - Information and Communication
Technology - CYBERnetic LowEr-limb coGnitive ortho-prosthesis project, as a means to enhance/
restore the mobility of transfemoral amputees and to enable them to perform locomotion tasks
such as ground-level walking, climbing/descending stairs, standing up, sitting down and
turning in scenarios of real life. Restored mobility will allow amputees to perform physical
activity thus counteracting physical and cognitive decline which occurs with advancing age
and improving the overall health status and quality of life.
This project involves players from academia, research institutions, end users, as well as
robotics and healthcare industry, and has been funded by the European Commission (call
identifier H2020 - Information and Communication Technology 24-2015, scope c, namely
Technology Transfer - Robotics use cases, Grant Agreement 731931).
The CLs++ project is an Innovation Action (IA) and foresees 2 clinical studies aimed at
assessing the efficacy of the CLs++ modules in different settings.
In this 1st clinical study, 16 patients with unilateral trans-femoral amputation, 8 @ the Don
Gnocchi Foundation, Center of Florence, and 8 @ the Free University of Brussels, Dept. of
Human Physiology, will participate in the assessment of the efficacy of the CLs++
ortho-prosthesis modules in a clinical setting.
Status | Completed |
Enrollment | 8 |
Est. completion date | December 20, 2019 |
Est. primary completion date | December 20, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 30 Years to 80 Years |
Eligibility |
Inclusion Criteria: - Unilateral trans-femoral amputation (any cause) - Completed the post amputation rehabilitation process - Medicare Functional Classification Level = K3 Exclusion Criteria: - Poor cognitive skills (Mini Mental State Examination) - Severe anxiety or depression (State-Trait Anxiety Inventory Form Y and Beck Depression Inventory II, respectively) - Relevant comorbidity (hemiplegia, degenerative nervous system diseases, hip or knee replacement, chronic heart failure, chronic obstructive pulmonary disease, act.) - Stump pain/socket poor fitting - Implantable cardiac devices (PMK and AICD) - Inability to walk on a treadmill |
Country | Name | City | State |
---|---|---|---|
Italy | Fondazione Don Carlo Gnocchi Onlus | Florence |
Lead Sponsor | Collaborator |
---|---|
Fondazione Don Carlo Gnocchi Onlus | IUVO Srl, Össur Ehf, Scuola Superiore Sant'Anna di Pisa, Université Catholique de Louvain, University of Ljubljana, Vrije Universiteit Brussel |
Italy,
CYBERLEGs - A User-Oriented Robotic Transfemoral Prosthesis with Whole Body Awareness Control. Ambrožic L, Goršic M, Geeroms J, Flynn L, Molino Lova R, Kamnik R, Munih M, Vitiello N. IEEE Robotics and Automation Magazine 2014, vol. 21(4):82-93.
d'Elia N, Vanetti F, Cempini M, Pasquini G, Parri A, Rabuffetti M, Ferrarin M, Lova RM, Vitiello N. Erratum to: Physical human-robot interaction of an active pelvis orthosis: toward ergonomic assessment of wearable robots. J Neuroeng Rehabil. 2017 Jun 5;14(1):51. doi: 10.1186/s12984-017-0262-x. — View Citation
Goršic M, Kamnik R, Ambrožic L, Vitiello N, Lefeber D, Pasquini G, Munih M. Online phase detection using wearable sensors for walking with a robotic prosthesis. Sensors (Basel). 2014 Feb 11;14(2):2776-94. doi: 10.3390/s140202776. — View Citation
Grazi L, Crea S, Parri A, Yan T, Cortese M, Giovacchini F, Cempini M, Pasquini G, Micera S, Vitiello N. Gastrocnemius myoelectric control of a robotic hip exoskeleton. Conf Proc IEEE Eng Med Biol Soc. 2015;2015:3881-4. doi: 10.1109/EMBC.2015.7319241. — View Citation
Monaco V, Tropea P, Aprigliano F, Martelli D, Parri A, Cortese M, Molino-Lova R, Vitiello N, Micera S. An ecologically-controlled exoskeleton can improve balance recovery after slippage. Sci Rep. 2017 May 11;7:46721. doi: 10.1038/srep46721. — View Citation
Motor primitive-based control for lower-limb exoskeletons Virginia Ruiz Garate, Andrea Parri , Tingfang Yan, Marko Munih, Raffaele Molino Lova, Nicola Vitiello, and Renaud Ronsse 6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) June 26-29, 2016. U Town, Singapore, pag. 655-661.
Ruiz Garate V, Parri A, Yan T, Munih M, Molino Lova R, Vitiello N, Ronsse R. Experimental Validation of Motor Primitive-Based Control for Leg Exoskeletons during Continuous Multi-Locomotion Tasks. Front Neurorobot. 2017 Mar 17;11:15. doi: 10.3389/fnbot.2017.00015. eCollection 2017. — View Citation
Walking Assistance using Motor Primitives Virginia Ruiz Garate, Andrea Parri, Tingfang Yan, Marko Munih, Raffaele Molino Lova, Nicola Vitiello, and Renaud Ronsse. IEEE Robotics and Automation Magazine 2014, March 2016, pag.83-95.
Yuan K, Parri A, Yan T, Wang L, Munih M, Vitiello N, Wang Q. Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results. Conf Proc IEEE Eng Med Biol Soc. 2015;2015:3893-6. doi: 10.1109/EMBC.2015.7319244. — View Citation
Zheng E, Manca S, Yan T, Parri A, Vitiello N, Wang Q. Gait Phase Estimation Based on Noncontact Capacitive Sensing and Adaptive Oscillators. IEEE Trans Biomed Eng. 2017 Oct;64(10):2419-2430. doi: 10.1109/TBME.2017.2672720. Epub 2017 Feb 23. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in the physical effort needed for walking with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules. | While performing the six-minute walk test, oxygen uptake will be assessed using a portable gas analyzer and will be considered as an objective measure of the physical effort. | Before and after the familiarization/training period lasting one month. | |
Secondary | Change in the self-perceived physical effort needed for walking with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules. | At the end of the six-minute walk test, the Borg Scale (CR-10) will be administered and the score will be considered as a measure of the perceived physical effort. | Before and after the familiarization/training period lasting one month. | |
Secondary | Change in the cognitive effort needed for walking with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules | The cognitive effort will be assessed through changes in the galvanic skin response (GSR), heart rate variability (HRV) and brain electrical activity (EEG) while performing two Dual Task tests, namely the backward counting and the Stroop test. | Before and after the familiarization/training period lasting one month. | |
Secondary | Change in the performance during stair climbing/descending with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules. | The performance in the above locomotion-related task will be assessed using the Stair Climbing Test (SCT). | Before and after the familiarization/training period lasting one month. | |
Secondary | Change in the performance during sitting down/standing-up and turning with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules | The performance in the above locomotion-related task will be assessed using the Timed get-Up and Go test (TUG) | Before and after the familiarization/training period lasting one month. | |
Secondary | Change in gait asymmetry with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules | Gait asymmetry will be assessed using a motion capture system, either optoelectronic or marker-less. | Before and after the familiarization/training period lasting one month. | |
Secondary | Change in muscle electrical activity with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules | Muscle electrical activity will be assessed using surface electromyography (sEMG) | Before and after the familiarization/training period lasting one month. |
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