Name
Abstract | ||
|---|---|---|
REMPARK project objective is to develop a personal health system with closed loop detection, response and action capabilities for the assessment and possible management of Parkinson's Disease (PD) patients. The project is developing a wearable monitoring system able to identify in real time the motor status of the PD patients and evaluating ON/OFF/Dyskinesia status with a very high sensitivity and specificity degree (>80%) in operation during ambulatory conditions. Identification of the motor status is based on the knowledge included in a large database obtained with the collaboration of a number of volunteer PD patients, according a specific defined protocol in ambulatory conditions. Artificial Intelligence (AI) methods are applied to the database information for the automatic detection of motor symptoms. |
Year | Venue | Keywords |
|---|---|---|
2013 | MIXED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, MIXDES 2013 | Parkinson disease,ON and OFF states automatic detection,personal health device,management and assessment of the disease |
Field | DocType | Citations |
Disease,Ambulatory,Monitoring system,Wearable computer,Computer science,Control engineering,Artificial intelligence,Dyskinesia,Physical medicine and rehabilitation,Personal health | Conference | 1 |
PageRank | References | Authors |
0.38 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| joan cabestany | 1 | 1276 | 143.82 |
| carlos perez lopez | 2 | 7 | 1.18 |
| aravind r sama | 3 | 1 | 0.38 |
| Juan Manuel Moreno | 4 | 186 | 32.74 |
| a j bayes | 5 | 1 | 0.38 |
| Alejandro Rodríguez-Molinero | 6 | 103 | 9.87 |