Abstract
Thanks to the combination of medical and technological advances, it becomes feasible and relevant to operate remotely monitoring of patients, introducing e-health paradigm. It includes services or systems that are at the convergence of medicine, health and information, including e-monitoring and telemedicine. Among existing medical devices, the "healthcare" type must ensure optimum operational reliability whether it is for a medical analysis or a treatment’s application. The level of safety and performance are critical for the patient’s health. Since these devices apply to a growing number of patients, all different from each other and living under different conditions, the device must therefore be able to adapt it self to the patient’s needs, activity, his environment but also to the patient himself. A general reusable strategy of self-adaptation, aiming to define methodically and optimally the steps and processes of self-adaptation, have been defines. Diseases recognized as being of the current centuries diseases require regular medical follow. Among them is glaucoma, an ocular neuropathy that deteriorates the optic nerve leading to a progressive and irreversible loss of the vision field. To diagnose and monitor it, a measurement of the intraocular pressure (IOP) is mandatory. Current techniques are constraining and require the manipulation of punctual measurement tools by a doctor. New biometric devices have emerged allowing continuous and portable measurements to allow a better diagnostic and a simplified monitoring. Our case study will therefore rely on the use of a biometric IOP measurement device which will be used as a validation platform for the proposed solutions knowing that it must be self-adapted to the different anatomies, physiologioes, biomechanics and environments of the patient. All the disturbing or informative mesurement indicators are regrouped in two types, the environmental and the variability in operation. A state of the art is proposed for the first type and an analytical model for the second one. The state of the art shows that In-vivo experimentations are mandatory to complete the knwoledge of major indicator influencing the IOP measurement with a biometric sensor. The analytical model include the magnetic coupling between antennas and the impact of some disturbances. It suggests a new ideal indirect indicator (the slope of the baseline and second coefficient order of the Bode phase plot) for the disturbances adaptation. This model is valid for sensors with different dimensions of antennas.