Neurologic Disorder
Conditions
Brief summary
The device that is the subject of this investigation is a solution for driving simulation of an electric wheelchair. It is intended to enable patients who are likely to acquire an electric wheelchair to train in a virtual environment, favorable to the safety of training, to its repetition, and to produce more varied, rich training environments and more tailored to specific and individualized needs. These solutions will make it easier to access real-world driving for patients who are currently experiencing learning difficulties. It is expected that this investigation demonstrates the reproducibility of driving performance in electric wheelchair driving simulator compared to the real world.
Detailed description
As part of this investigation, it is expected to develop a driving simulator that could contribute to improving the learning of electric wheelchair driving and access to electric wheelchair for people who can not currently claim for physical risks and weak psychology for the participant in the research. The present clinical investigation aims at evaluating the performances, the safety and the satisfaction of the users with regard to a simulator of driving of electric wheelchair in virtual reality. The main objective is to evaluate the feasibility of a virtual electric wheelchair driving training, comparing driving performance in virtual reality versus reality, in identical real and virtual standardized circuits, in regular users of electric wheelchairs with neurological disorders.
Interventions
For the control group, 3 test circuits of pipes in real condition of increasing difficulty are tested. Patients perform 2 passes in this condition.
For the virtual reality group, the circuits have been digitized. Patients perform 2 passes in this condition.
Sponsors
Study design
Masking description
Neither patients nor evaluators can be unaware of which group they are in.
Intervention model description
It is a pilot, prospective, monocentric, controlled, randomized, open-arms, open-ended, minimal risk and minimal constraint study (RIPH category 2).
Eligibility
Inclusion criteria
* Male or female, over 18 years old, * Having freely consented to participate in the study, * With neurological degenerative disorders including cerebrovascular accident and head trauma or neurodegeneration including Parkinson's disease and related syndromes, multiple sclerosis, myopathy and amyotrophic lateral sclerosis, * Having benefited from an electric wheelchair prescription and traveling in electric wheelchair for more than 3 months, * Whose electric wheelchair is the main mode of travel, * The physical measurements (weight, size) are compatible with the use of the physical simulator chosen for the development of the robotic assistance module, according to manufacturer's data 140 kg max and 51 cm max of seat width .
Exclusion criteria
* Understanding difficulties preventing the realization of the protocol, * Motor disorders of the upper limb requiring additional driving technical assistance, * Patient having expressed difficulties impacting his safety of sedan and / or external, objectified by a negative answer to more than one item on the self-questionnaire WST QF for the items pertaining to driving (6 to 12 and 17 to 28): 1. inability to perform certain driving tasks (answer no) 2. or insecure to achieve them (answer not at all). * pregnant, parturient or nursing mother, * Person deprived of liberty by a judicial or administrative decision, persons under psychiatric care or admitted to a health or social institution for purposes other than research, * Minor, * Major under legal protection or unable to express his consent, * Person in emergency situation who can not express their prior consent.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Number of collision | Day 1 | The primary judgment criterion is the number of collisions on different standardized circuits in real condition versus virtual condition |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Wheelchair Skill Test (WST) | Day 1, Day 8 and Day 15 | Driving performance measured by the Wheelchair Skill Test items corresponding to the different courses in real condition versus virtual condition |
| NASA-Task Load Index | Day 1, Day 8 and Day 15 | The cognitive load of tests under both conditions will be measured by the NASA-Task Load Index. It is in the form of six scales where the participant must assign a score between zero and one hundred to each of them, score indicating a growing level of intensity. Three dimensions relate to the demands imposed on the subject (mental, physical and temporal demands) and three to the interaction of a subject with the task (effort, frustration and performance) |
| Ease of Use Questionnaire | Day 1, Day 8 and Day 15 | The satisfaction of the use of the electric wheelchair under the conditions will be evaluated by the self-questionnaire Ease of Use Questionnaire. It measures the subjective usability of a product or service. It is a 30-item survey that examines four dimensions of usability: usefulness, ease of use, ease of learning, and satisfaction. The questionnaires were constructed as seven-point Likert rating scales. Users were asked to rate agreement with the statements, ranging from strongly disagree (1) to strongly agree (7). |
| Driving Speed | Day 1, Day 8 and Day 15 | Speed measured by the completion time of the course on the different circuits in real condition versus virtual condition |
| Igroup Presence Questionnaire (IPQ) | Day 1, Day 8 and Day 15 | The IPQ comprises 14 items rated on a seven-point Likert Scale ranging from -3 to 3. The general item assesses the general sense of being there, and has high loadings on all three factors, with an especially strong loading on Spatial Presence. The Spatial Presence sub-scale is related to the sense of being physically inside the virtual environment. The involvement sub-scale is directed to evaluate the attention devoted to the virtual environment. The realness sub-scale evaluates the sense of reality attributed to the virtual environment. |
| The learning effect | Day 1, Day 8 and Day 15 | The learning effect on the virtual circuit and on the real circuit, will be evaluated by progression / stabilization of the time of realization during the sequence of repetitions. |
| Graybiel score | Day 1, Day 8 and Day 15 | Assessment of discomfort and motion sickness to quantify the intensity of different symptoms during motion sickness. |
| Unified theory of acceptance of technology questionnaire (UTAUT) | Day 1, Day 8 and Day 15 | Questionnaire of acceptability / acceptance of the tool and its use by patients based on the Unified Theory of Acceptance and Use Technology (UTAUT). |
Countries
France