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| Name | Class |
|---|---|
| Eodyne Systems SL | INDUSTRY |
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Introduction: Home-based rehabilitation has the potential to reduce healthcare costs. However, due to less supervision in the home situation, it is possible that movements are made incorrectly. Therefore it is important to gain insight in which movements are made with a home-based rehabilitation system and what effects instructions could have on these movements. The current study investigated these movements made by the Rehabilitation Gaming System (RGS) app, this app uses augmented reality to provoke upper limb movements.
Methods: 16 healthy elderly and 16 stroke survivors participate in this study. Each participant was invited to the rehabilitation clinic for a one time measurement of 1.5 hours. During this measurement, four therapy exercises and four games on the RGS-app are performed. Each game should provoke a similar movement as one of the therapy exercises. Participants start with performing the therapy exercises for two minutes each. Thereafter they receive a video instruction on how to perform one of the games of the RGS-app, and they will play this game for 2 minutes. Thereafter the group is randomized into two conditions. The first group receives the same video instruction, while the second group receives a personalized live instruction based on the first two minutes of playing. After the new instruction, participants will play the game for two minutes again. This is repeated for all four games. Both the order of the therapy exercises and RGS-app games are randomized. During the study, participants wear Inertial Measurement Units (IMU's).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Healthy elderly | Group of participants who have no prior history of stroke |
| |
| Stroke survivor | Group of participants who have been through a stroke |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| RGS-app | Behavioral | Participants use the RGS-app on a smartwatch once for 1.5 hours during the measurement. The RGS-app consists of augmented reality games to provoke upper limb movement. |
| Measure | Description | Time Frame |
|---|---|---|
| Average movement velocity | Average velocity of every 2-minute session. Velocity is measured at the hand relative to the sternum. | Measured when using the RGS-app during the one-time measurement of 1.5 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Peak velocity | The maximum velocity measured at the hand | Measured when using the RGS-app during the one-time measurement of 1.5 hours |
| Hand distance | Distance covered by the hand corrected by the sternum movements |
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Inclusion Criteria stroke survivors:
Exclusion Criteria stroke survivors:
Inclusion Criteria healthy elderly:
Exclusion Criteria healthy elderly:
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Stroke survivors will be recruited through a Rehabilitation physician at the Sint Maartenskliniek and if needed through social media.
Healthy elderly will be recruited using social media.
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| Name | Affiliation | Role |
|---|---|---|
| Noël Keijsers, Prof. | Donders Institute for Brain, Cognition and Behavior, Radboud University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sint Maartenskliniek | Ubbergen | Gelderland | 6574 NA | Netherlands |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| Measured when using the RGS-app during the one-time measurement of 1.5 hours |
| Elbow Range of motion | Range of motion in degrees of the elbow joint (0 degrees being fully stretched) | Measured when using the RGS-app during the one-time measurement of 1.5 hours |
| Pelvis range of motion | Range of motion in degrees of the elbow joint (0 degrees meaning vertical) | Measured when using the RGS-app during the one-time measurement of 1.5 hours |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |