This report reflects the work done in the final part of the Task 9.3, subtasks 9.3.1 and 9.3.2, after the partial revision of its contents, approved by the project reviewers. D9.3 is now focused on the problems risen by specific patients' simulations in the frame of SensorART platform. The deliverable is divided into two main parts describing how the problem of non-homogeneous clinical data sets was faced. In the first part, the description of user interfaces and of clinical data transfer to the simulators was given. The second part of D9.3 includes the description of the methodology used to compute model parameters and tune the model on specific patient's data. To this aim, a recursive algorithm was developed and implemented into the computational model. The problem of wearable devices data acquisition and processing is outlined in the last paragraph of the deliverable. The described hybrid methodology defines the technological infrastructure to perform validation study done in Task 11.3 (reported in deliverable D11.5). The hybrid scenario is considered the safety barrier for patients, in the current maturity of SensorART implantable technologies. In the future, all the functionalities could be aimed at training activities and/or clinical decision support, when the "intelligent" sensorized devices and telemedicine will overcome the actual, limiting requirements and guidelines of clinical arena in VAD-implanted patient management.
D9.3 Analysis of SensorART Simulation Functionalities
Gianfranco Ferrari;Libera Fresiello;Arianna Di Molfetta
2014
Abstract
This report reflects the work done in the final part of the Task 9.3, subtasks 9.3.1 and 9.3.2, after the partial revision of its contents, approved by the project reviewers. D9.3 is now focused on the problems risen by specific patients' simulations in the frame of SensorART platform. The deliverable is divided into two main parts describing how the problem of non-homogeneous clinical data sets was faced. In the first part, the description of user interfaces and of clinical data transfer to the simulators was given. The second part of D9.3 includes the description of the methodology used to compute model parameters and tune the model on specific patient's data. To this aim, a recursive algorithm was developed and implemented into the computational model. The problem of wearable devices data acquisition and processing is outlined in the last paragraph of the deliverable. The described hybrid methodology defines the technological infrastructure to perform validation study done in Task 11.3 (reported in deliverable D11.5). The hybrid scenario is considered the safety barrier for patients, in the current maturity of SensorART implantable technologies. In the future, all the functionalities could be aimed at training activities and/or clinical decision support, when the "intelligent" sensorized devices and telemedicine will overcome the actual, limiting requirements and guidelines of clinical arena in VAD-implanted patient management.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.