Goal. Signal sensor processing to predict rehabilitation period
Data
Method
Feature characterization, case-based dimensionality reduction, personalization with case-based reasoning.
Results
Prototype
Elderly citizens often suffer from hip illnesses that require surgery (as substituting the hip by a prosthesis). Rehabilitation from such surgery is crucial to recover full walking movements and so guarantee the persons’ quality of life. However, the same rehabilitation programme seems to have different results on patients. Thanks to the advances on sensor technology, today it is possible to monitor the patient’s steps. From the information of the sensor, our challenge is to find patterns that lead to good recovery.
