Estimating quality of context information in patient daily rhythms
Mobile systems, such as smartphones could assist patients in many daily life situations by providing coaching and training functions. At the same time, these devices offer excellent sensing and processing resources and connectivity to further ambient and on-body resources. This project targets to develop a framework for reliable estimation of sensor signal quality and recognition performance of patient states. Based on multi-layer models representing the sensor-underlying processes, information quality will be continuously estimated. Validations in daily life of patients are foreseen, using motion, ECG, EMG, and further artefact-sensitive sensing modalities.
Interested candidates are invited to submit their application material for one or more positions within the network. In addition, applicants are asked to provide a 1-page statement on their motivation to become part of this exciting network in PDF format by email to [email protected] The statement may be reviewed by all iCareNet partner organisations. Positions will be filled as soon as possible.
- The researcher can be a national of any country.
- The researcher has not lived, worked or studied in the country of the host organisation of this position for more than 12 months in the 3 years immediately prior to the reference date. Short stays, such as holidays, are not taken into account.
This PhD position is one of the 19 prestigious Marie Curie fellowships for PhD and Postdoc positions that are available within iCareNet.