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Description
Title: Digital rehabilitation
Submitter(s):
Jean-Paul Calbimonte
Motivation:
In the context of physical rehabilitation, traditional practice is based on human observation of exercises and movements, which are often too subjective and difficult to replicate at home, where patients have no practical way of self-assessing correctness of the exercises, leading to potential further injuries or ineffective rehabilitation.
This use case contemplates the usage of wearable devices that can be placed in different parts of the body, connected to a tablet where the patient can get visual and/or audial feedback on the exercises in near-real-time.
Expected Participating Entities:
- Patient
- Physiotherapist (for validation)
- set of wearable motion detection sensors (e.g., Nordic Thingy 52, etc)
- Tablet (hosting orchestrator + patient app)
Workflow:
- Physio defines exercise: goals and expected movements to be captured by devices.
- Orchestrator registers specific role for the wearables and expected outputs.
- Patient initiates exercise in the Tablet
- Orchestrator gathers motion information and computes assessment of exercises
- Audio/visual feedback provided to the Patient
- Exercise repetitions until the set is finished.
- Physio receives overall assessment of the exercise set.
Related Use Cases (if any):
- Multi-patient variant (reporting progress of multiple patients)
- Self-cofniguration of devices.
Existing solutions:
In progress.
Identified Requirements by the TF:
To be filled after submission. Examples of requirements include usage of specific communication protocols, media types, platforms, security and privacy mechanisms, or accesibility.