The CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis Plus Plus, 1st Clinical Study
CLs++1stCS
1 other identifier
interventional
8
1 country
1
Brief Summary
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.
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 Jun 2018
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 19, 2017
CompletedFirst Posted
Study publicly available on registry
September 29, 2017
CompletedStudy Start
First participant enrolled
June 26, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 20, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
December 20, 2019
CompletedDecember 26, 2019
December 1, 2019
1.5 years
September 19, 2017
December 24, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
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 Outcomes (6)
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.
Before and after the familiarization/training period lasting one month.
Change in the cognitive effort needed for walking with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules
Before and after the familiarization/training period lasting one month.
Change in the performance during stair climbing/descending with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules.
Before and after the familiarization/training period lasting one month.
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
Before and after the familiarization/training period lasting one month.
Change in gait asymmetry with the participant's own prosthesis vs. with the customized combination of CLs++ ortho-prosthesis modules
Before and after the familiarization/training period lasting one month.
- +1 more secondary outcomes
Study Arms (1)
CLs++
EXPERIMENTALBaseline assessment, intervention, final assessment
Interventions
Familiarization/training with the customized combination of the CLs++ ortho-prosthesis modules
Eligibility Criteria
You may qualify if:
- Unilateral trans-femoral amputation (any cause)
- Completed the post amputation rehabilitation process
- Medicare Functional Classification Level ≤ K3
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Fondazione Don Carlo Gnocchi Onluslead
- Scuola Superiore Sant'Anna di Pisacollaborator
- Université Catholique de Louvaincollaborator
- Vrije Universiteit Brusselcollaborator
- University of Ljubljanacollaborator
- Össur Iceland ehfcollaborator
- IUVO Srlcollaborator
Study Sites (1)
Fondazione Don Carlo Gnocchi Onlus
Florence, 50143, Italy
Related Publications (10)
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.
PMID: 28492520BACKGROUNDd'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. No abstract available.
PMID: 28583163BACKGROUNDRuiz 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.
PMID: 28367121BACKGROUNDZheng 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.
PMID: 28252387BACKGROUNDMotor 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.
BACKGROUNDWalking 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.
BACKGROUNDYuan 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. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:3893-6. doi: 10.1109/EMBC.2015.7319244.
PMID: 26737144BACKGROUNDGrazi 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. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:3881-4. doi: 10.1109/EMBC.2015.7319241.
PMID: 26737141BACKGROUNDCYBERLEGs - A User-Oriented Robotic Transfemoral Prosthesis with Whole Body Awareness Control. Ambrožič L, Goršič 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.
BACKGROUNDGorsic M, Kamnik R, Ambrozic 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.
PMID: 24521944BACKGROUND
Related Links
Study Officials
- PRINCIPAL INVESTIGATOR
Raffaele Molino Lova, MD
Fondazione Don Carlo Gnocchi Onlus
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
- MD
Study Record Dates
First Submitted
September 19, 2017
First Posted
September 29, 2017
Study Start
June 26, 2018
Primary Completion
December 20, 2019
Study Completion
December 20, 2019
Last Updated
December 26, 2019
Record last verified: 2019-12
Data Sharing
- IPD Sharing
- Will not share