Neurology diagnostics security and terminal adaptation for PocketNeuro project.
This paper presents new approaches of medical information security and terminal mobile phone adaptation for the PocketNeuro project. The latter term refers to a project created for the management of neurological diseases. It consists of transmitting information about patients ("desk of patients") to a doctor's mobile phone during a visit and examination of a patient. These new approaches for the PocketNeuro project were analyzed in terms of medical information security and adaptation of the diagnostic images to the doctor's mobile phone. Images were extracted from a DICOM library. Matlab and its library were used as software to test our approaches and to validate our results. Experiments performed on a database of 30 256 x 256 pixel-sized neuronal medical images indicated that our new approaches for PocketNeuro project are valid and support plans for large-scale studies between French and Swiss hospitals using secured connections.
Chemak
C
C
Computer Science Laboratory of Franche-Comté, UFR Sciences and Techniques, University of Franche-Comté, Besançon, France. cchemak@univ-fcomte.fr
Bouhlel
M-S
MS
Lapayre
J-C
JC
D016494:Computer Security / Q000295:instrumentation*; D003201:Computers; D003219:Confidentiality; D005602:France; D006801:Humans; D019451:Information Management; D016347:Medical Records Systems, Computerized; D009422:Nervous System Diseases / Q000175:diagnosis*; D009462:Neurology / Q000458:organization & administration*; D016730:Program Development; D012984:Software; D017216:Telemedicine / Q000295:instrumentation* / Q000458:organization & administration; D013689:Telephone; D014416:Tunisia