Connected Vest, Intelligent Electric Bike for Health, Physical Activity
Conditions
Keywords
Physical Activity, Connected bike, Connected vest, Rehabilitation
Brief summary
The walk and bike practice are two physical activities the most cited for benefits of physical activity thanks to their progressive and soft characters adapted to patients suffering from chronic diseases (diabetes, obesity, cancer...) with muscular deficit cardio-respiratory. However, cycling may, depending on the natural land, imply efforts and articular-muscular-tendon pressions more important particularly in hilly natural land. Moreover, lots of physical and physiological barriers oppose to the bike practice in the population of patients with chronic diseases. The electric bike can be useful. This electric bike will be powerful but safe, totally programmable to adapt to patients, slope, rehabilitation objectives but very easy to use. From medicine, it is necessary to ensure a moderate and regular effort regarding patients. To do this, it is necessary to individualize adjustments of electric bike to have a progressive rehabilitation program and a progressive load force. It needs to dispose monitoring and evaluation tools in real situations outside (lots of physiological and technical sensors). The intelligent electric bike for health proposes to be in accordance to this specifications.
Detailed description
The investigators propose to validate the technical and organizational feasibility of workshops using the intelligent electric bike for health with different devices such as two connected vests (non-invasive) measuring on the one hand the cardiological and respiratory parameters (connected vest named : Etisens) and the other hand the kinetic energy of movement (connected vest named : Optimove). The development of this ambulatory physiology platform and the engine brake create perspectives for an outdoor rehabilitation tool that for example could stimulate, on an altitude free-excursion, a mountain pass of Alpes doing the link of health, sport and well-being.
Interventions
DEVICEProgramme of intelligent electric bike for health
It is a programme of 6 excursions with an intelligent electric bike for health and connected vests during 1 month (two excursions per week according the weather)
Sponsors
TIMC-IMAG
Floralis
Laboratoire TIMC-IMAG
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE
Intervention model description
All volunteers realise a programme of 6 excursions with intelligent electric bike for health and connected vests.
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Capacity to ride a bike * Volunteer without a contraindication to moderate physical activity or cycling (acute coronary artery disease less than 2 years old, musculoskeletal problem of the spine or lower limbs incompatible with cycling). * weight \< 125 kg * volunteer available for an intervention of 2-3 hours twice a week during 1 month.
Exclusion criteria
* Person deprived of liberty or legal protection measure
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Percentage of intelligent electric bike for health programme validated evaluated by the questionnaire evaluation of the programme of intelligent electric bike for health - volunteer. | 1 month | Score of questionnaire evaluation of the programme of intelligent electric bike for health - volunteer. A negative value is defined by a value less than 5 and a positive value is defined by a value greater than 5. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Percentage of specific characteristics validated for each excursion evaluated by the questionnaire excursion evaluation - volunteer. | 1st week, 2nd week, 3rd week and 4th week. | Score of items 1, 2 and 3 of questionnaire excursion evaluation - volunteer for each excursion. For item 1 and 2 ; a negative value is defined by a value less than 4 and greater than 6, and a positive value by a value between 4 and 6. For item 3 ; a negative value is defined by a value less than 5 and a positive value is defined by a value greater than 5. |
| Percentage of general characteristics validated for each excursion evaluated by the questionnaire named excursion evaluation - volunteer. | 1st week, 2nd week, 3rd week and 4th week. | Score of items 1, 2, 3, 4 and 5 of questionnaire excursion evaluation - volunteer for each excursion. A negative value is defined by a value less than 5 and a positive value is defined by a value greater than 5. |
| Percentage of excursions validated evaluated by the questionnaire excursion evaluation - supervising staff. | 1st week, 2nd week, 3rd week and 4th week. | Score of questionnaire excursion evaluation - supervising staff for each excursion. A negative value is defined by a value less than 5 and a positive value is defined by a value greater than 5. |
| Percentage of specific characteristics validated for each excursion evaluated by the questionnaire excursion evaluation - supervising staff. | 1st week, 2nd week, 3rd week and 4th week. | Score of items 1,2 and 3 of questionnaire excursion evaluation - supervising staff for each excursion. A negative value is defined by a value less than 5 and a positive value is defined by a value greater than 5. |
| Percentage of general characteristics validated for each excursion evaluated by the questionnaire excursion evaluation - supervising staff. | 1st week, 2nd week, 3rd week and 4th week. | Score of items 1, 2, 3, 4 and 5 of questionnaire excursion evaluation - supervising staff for each excursion. A negative value is defined by a value less than 5 and a positive value is defined by a value greater than 5. |
| Percentage of programme validated evaluated by the questionnaire evaluation of the programme of intelligent electric bike for health - supervising staff. | 1 month | Score of questionnaire evaluation of the programme of intelligent electric bike for health - supervising staff. A negative value is defined by a value less than 5 and a positive value is defined by a value greater than 5. |
| Percentage of excursions validated evaluated by the questionnaire excursion evaluation - volunteer. | 1st week, 2nd week, 3rd week and 4th week. | Score of questionnaire excursion evaluation - volunteer for each excursion. A negative value is defined by a value less than 5 and a positive value is defined by a value greater than 5. |
| Percentage of data stored by the connected vest Etisense. | 1st week, 2nd week, 3rd week and 4th week. | The validation of records is defined when 90% of data is saved, all sensors are functional and data are relevant. |
| Comparison between data stored by the connected vest Etisense and the intelligent electric bike for health. | 1st week, 2nd week, 3rd week and 4th week. | Respiratory rate of the connected vest Etisense and the intelligent electric bike for health are compared. |
| Percentage of data stored by the connected vest Optimove. | 1st week, 2nd week, 3rd week and 4th week. | The validation of records is defined when 90% of data is saved. |
| Compare data stored by the connected vest Optimove during two excursions with adjustments different of the intelligent electric bike for health. | 1st week, 2nd week, 3rd week and 4th week. | Data of the connected vest Optimove and the intelligent electric bike for health are compared. |
| Comparison between theoretical speed limit and real speed observed. | 1 month | Speed recorded by the intelligent electric bike for health (real speed observed) and theoretical speed (programmed speed) are compared. |
| Capacity of the intelligent electric bike for health to offer entrainment capacities for a high-level athlete. | 1 month | Description of features of the intelligent electric bike for health for entrainment of high-level athlete. |
| Percentage of data stored by the intelligent electric bike for health. | 1st week, 2nd week, 3rd week and 4th week. | The validation of records is defined when 90% of data is saved. |
Countries
France
Contacts
Primary ContactClaire EYCHENNE
Backup ContactCarole ROLLAND
Outcome results
None listed