title: Neurology diagnostics security and terminal adaptation for PocketNeuro project.
abstract: 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.
authors.affiliation: Computer Science Laboratory of Franche-Comté, UFR Sciences and Techniques, University of Franche-Comté, Besançon, France. cchemak@univ-fcomte.fr
authors.forename: C
authors.initials: C
authors.lastname: Chemak
authors.forename: M-S
authors.initials: MS
authors.lastname: Bouhlel
authors.forename: J-C
authors.initials: JC
authors.lastname: Lapayre
mesh_terms: 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