Table 2 List of tags applied to each included article and examples
Tag | Description | Examples of possible values |
|---|---|---|
Aim | Aim of ML within the proposed rehabilitation robotics system | Trajectory prediction, movement classification, personalized rehabilitation |
Algorithm type | Specific type of AI/ML used | Logistic_regression, neural_network |
Input data | Type of the input data to the AI/ML | Anthropometric_data, clinical_data, sensor_data_from_robot |
User | User of the system | Patient, rehab_professional |
Localization of the robot | The placement of the robot | Upper_limb, hand, lower_limb, head |
Localization of the sensors | Placement of sensors | Upper_limb, hand, lower_limb, head |
Disease type | Type of the disease/prognosis specifically reported | Leg_injury, stroke |
Settings | Setting where the rehabilitation sessions are performed | Inpatients, outpatients, at home, healthy individuals |
Domain | Domain of the rehabilitation | Upper_limb, lower_limb, cognitive |
Rehabilitation system constraints | Whether the rehabilitative system is stationary (i.e. large device and/or connected to energy net) | stationary, portable |