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The aim of this project is to develop an actimetry protocol based on a system of motion sensors, such as accelerometers and pressure insoles.
These sensors will be used to analyze arm and leg movements in individuals who have experienced a stroke. Throughout the study, the investigators will adjust certain parameters-such as sensor placement and measurement frequency-to optimize data quality.
They will also refine data analysis methods to better identify the types of movements performed (upper and lower limbs), estimate energy expenditure, and recognize different postures adopted by the participant (sitting, standing, etc.).
The goal of this protocol is to provide accurate measurements of physical activity and inactivity, both in controlled environments (such as a laboratory) and in real-life settings (outdoors or at home).
This study will allow us to validate the reliability of the actimetry protocol and assess how easy it is to use at home.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Actimetry protocol | Experimental | All participants follow the same actimetry-based monitoring protocol. There are no comparison groups or randomized interventions. Therefore, the study includes only one arm. Participants will wear motion sensors (accelerometers and pressure insoles) to quantify physical activity and sedentary behavior. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Actimetry Protocol | Device | Our goal is to develop an actimetry protocol using both accelerometers and pressure insoles to quantify physical activity, involving the upper and/or lower limbs, as well as sedentary behavior in post-stroke individuals. Recent studies have explored the use of validated accelerometer configurations designed for healthy individuals, applied to the post-stroke population to monitor their physical activity and sedentary behavior. However, although these protocols have been validated for healthy individuals, they need to be adapted for post-stroke patients, who exhibit slower, asymmetric, and lower-amplitude movements compared to healthy subjects. This protocol could be valuable in both clinical practice and research, helping to optimize stroke rehabilitation and promote a healthy, active lifestyle. |
| Measure | Description | Time Frame |
|---|---|---|
| Actimetry protocol | Development of an actimetry protocol using accelerometers and pressure insoles for post-stroke subjects. | By the completion of the home monitoring phase, expected around April 2027 |
| Measure | Description | Time Frame |
|---|---|---|
| Validation, feasibility, and usability of the actimetry protocol across different environments | Validation of an actimetry protocol in the post-stroke population in a controlled environment (laboratory), in an ecological setting (outdoor), and assessment of its feasibility and usability at home. | By the completion of the home monitoring phase, expected around April 2027 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Thierry Lejeune | Cliniques universitaires Saint-Luc- Université Catholique de Louvain | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cliniques universitaires Saint-Luc | Brussels | Belgium |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42417037 | Derived | Macq L, Dehem S, Lejeune T, Otlet V. Quantifying Physical Activity Through Step Count Estimation Across Multiple Wearable Sensor Configurations: A Validation Study in Post-Stroke and Healthy Adults. NeuroRehabilitation. 2026 Jul 8:10538135261463255. doi: 10.1177/10538135261463255. Online ahead of print. |
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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 |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
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| ID | Term |
|---|---|
| D061725 | Accelerometry |
| ID | Term |
|---|---|
| D008919 | Investigative Techniques |
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