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| Name | Class |
|---|---|
| TIMC-IMAG | OTHER |
| Floralis | INDUSTRY |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Programme of intelligent electric bike for health (single arm) | Other | All volunteers will realise the programme of intelligent electric bike for health with connected vests. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Programme of intelligent electric bike for health | Device | 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) |
| Measure | Description | Time Frame |
|---|---|---|
| Percentage of intelligent electric bike for health programme validated evaluated by the questionnaire "evaluation of the programme of intelligent electric bike for health - volunteer". | 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. | 1 month |
| Measure | Description | Time Frame |
|---|---|---|
| Percentage of excursions validated evaluated by the questionnaire "excursion evaluation - volunteer". | 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. | 1st week, 2nd week, 3rd week and 4th week. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Claire EYCHENNE | Contact | 33 4 76 76 64 13 | claire.eychenne@univ-grenoble-apes.fr | |
| Carole ROLLAND | Contact | 33 4 76 76 50 40 | carole.rolland@univ-grenoble-alpes.fr |
| Name | Affiliation | Role |
|---|---|---|
| Jean-luc BOSSON | TIMC-IMAG | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| BOSSON Jean-Luc | Recruiting | Grenoble | 38000 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22182828 | Background | Pavey TG, Anokye N, Taylor AH, Trueman P, Moxham T, Fox KR, Hillsdon M, Green C, Campbell JL, Foster C, Mutrie N, Searle J, Taylor RS. The clinical effectiveness and cost-effectiveness of exercise referral schemes: a systematic review and economic evaluation. Health Technol Assess. 2011 Dec;15(44):i-xii, 1-254. doi: 10.3310/hta15440. | |
| 17671237 |
| Label | URL |
|---|---|
| Des Asters R. The impact evaluation on the health, promotion of electric bike. 2006 | View source |
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All volunteers realise a programme of 6 excursions with intelligent electric bike for health and connected vests.
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| Percentage of specific characteristics validated for each excursion evaluated by the questionnaire "excursion evaluation - volunteer". |
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. |
| 1st week, 2nd week, 3rd week and 4th week. |
| Percentage of general characteristics validated for each excursion evaluated by the questionnaire named "excursion evaluation - volunteer". | 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. | 1st week, 2nd week, 3rd week and 4th week. |
| Percentage of excursions validated evaluated by the questionnaire "excursion evaluation - supervising staff". | 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. | 1st week, 2nd week, 3rd week and 4th week. |
| Percentage of specific characteristics validated for each excursion evaluated by the questionnaire "excursion evaluation - supervising staff". | 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. | 1st week, 2nd week, 3rd week and 4th week. |
| Percentage of general characteristics validated for each excursion evaluated by the questionnaire "excursion evaluation - supervising staff". | 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. | 1st week, 2nd week, 3rd week and 4th week. |
| Percentage of programme validated evaluated by the questionnaire "evaluation of the programme of intelligent electric bike for health - supervising staff". | 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. | 1 month |
| Percentage of data stored by the intelligent electric bike for health. | The validation of records is defined when 90% of data is saved. | 1st week, 2nd week, 3rd week and 4th week. |
| Percentage of data stored by the connected vest Etisense. | The validation of records is defined when 90% of data is saved, all sensors are functional and data are relevant. | 1st week, 2nd week, 3rd week and 4th week. |
| Comparison between data stored by the connected vest Etisense and the intelligent electric bike for health. | Respiratory rate of the connected vest Etisense and the intelligent electric bike for health are compared. | 1st week, 2nd week, 3rd week and 4th week. |
| Percentage of data stored by the connected vest Optimove. | The validation of records is defined when 90% of data is saved. | 1st week, 2nd week, 3rd week and 4th week. |
| Compare data stored by the connected vest Optimove during two excursions with adjustments different of the intelligent electric bike for health. | Data of the connected vest Optimove and the intelligent electric bike for health are compared. | 1st week, 2nd week, 3rd week and 4th week. |
| Comparison between theoretical speed limit and real speed observed. | Speed recorded by the intelligent electric bike for health (real speed observed) and theoretical speed (programmed speed) are compared. | 1 month |
| Capacity of the intelligent electric bike for health to offer entrainment capacities for a high-level athlete. | Description of features of the intelligent electric bike for health for entrainment of high-level athlete. | 1 month |
| Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, Macera CA, Heath GW, Thompson PD, Bauman A; American College of Sports Medicine; American Heart Association. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation. 2007 Aug 28;116(9):1081-93. doi: 10.1161/CIRCULATIONAHA.107.185649. Epub 2007 Aug 1. |
| 27299435 | Background | Peterman JE, Morris KL, Kram R, Byrnes WC. Pedelecs as a physically active transportation mode. Eur J Appl Physiol. 2016 Aug;116(8):1565-73. doi: 10.1007/s00421-016-3408-9. Epub 2016 Jun 14. |
| 22005715 | Background | Gojanovic B, Welker J, Iglesias K, Daucourt C, Gremion G. Electric bicycles as a new active transportation modality to promote health. Med Sci Sports Exerc. 2011 Nov;43(11):2204-10. doi: 10.1249/MSS.0b013e31821cbdc8. |
| 22913003 | Background | Welker J, Cornuz J, Gojanovic B. [Electrically assisted bicycles: health enhancement or "green" gadget?]. Rev Med Suisse. 2012 Jul 25;8(349):1513-7. French. |
| Gretchen Reynolds. The Surprising Health Benefits of an Electric Bike. 2016 | View source |
| ID | Term |
|---|---|
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D001519 | Behavior |
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