Innovation for Medical Sensor Data Processing and Evaluation

Abstract

Patient treatment is the main role of the current medical sphere. A patient is monitored during the diagnosis process, during the treatment, and after the main treatment phase. Effective administration of all examinations and measurements is required. The patient is usually monitored by sensors that produce data of varying frequency, accuracy, and reliability. This paper discusses how to store complex data in the database, evaluate, and provide them to doctors and expert systems. The most important task is the efficiency and reliability of data along with the monitoring and identification of significant changes. We propose a solution consisting of a three-level temporal architecture and a fingerprint key. Thanks to that, system resources demands are lowered. We also discuss and propose new access rules dealing with state collisions.