DIAPOLE is a IST funded project (5th FP) with the objective to develop a non-invasive, accurate, continuous blood glucose level monitoring device based on combined magnetic and optical sensors. The system embeds an innovative dedicated and integrated control and spectral analysis software for optical and magnetic sensing to control the device and analyse the outputs from the magnetic and optical sensors, enebling diabetic citizens to effectively manage their health by the use of portable secure systems.
P.CEZANNE is a IST funded project (6th FP) to provide the medical caregivers with an IST tool that is capable to monitor in real-time the glucose levels of this community, i.e. micro sensors implanted under the skin measuring BGL on a continuous basis. The project has the objective to research and develop a novel implantable long-term nano-sensor for continuous BGL monitoring. The nano-sensor will be linked to the wireless device platform of the ICT system and the data will be automatically FP7-ICT-2007–1– 216270 – METABO Date of preparation: 21/11/2007 Page 25 of 193 Annex I “Description of Work” – vers.15 collected, stored and processed. The novelty of CEZANNE lies within the nano-sensor containing living cells or proteins, compact capsule with optics and microelectronics that measures continuously to provide physicians with online medical data.
CLINICIP is a IST funded project (6th FP) aiming to an intelligent system for improved health status monitoring of critically ill patients. A local system will be developed comprising biosensors for the determination of glucose in whole blood. Based on the continuous measurement, an adaptive control algorithm generates advice and thus represents a decision supporting system in an early project stage. Within a closed loop system intensified insulin treatment will make use of calculation results leading to the external regulation of glucose. In addition to the approach of controlling the glucose concentration ,the project investigates the adoption of a minimally invasive treatment.
The system relies on a number of biosensors for the determination of most important parameters such as lactate, carbon dioxide, oxygen and pH to characterize adipose tissue and on a telemedical infrastructure including a knowledge-sharing environment for data and knowledge storing and sharing. The idea is to process stored data and the derived clinical recommendations for treatment of critically ill patients and for automatic regulating of the glucose level by linking it to an insulin pump that accurately releases insulin into the body in response to the fluctuations of glucose concentrations.
ADICOL is a IST funded project (6th FP) aiming at improving the treatment of diabetic patients, through the development and implementation of an integrated system simulating a healthy pancreas in a closed loop mode. The system objective is the set-up and test of a controlled personal insulin dosing system that makes use of the latest bio-sensor technology, advanced software simulation tools and new micro-dosing tools to greatly improve the personal medication of persons suffering from diabetes. This goal is achieved through continuous measurement of glucose level to improve substantially treatment of insulin dependent diabetes, for better adjustment of insulin dosage and to create a physiological model or an advisory system, which allows determining the parameters settings of an insulin pump. Additionally, automated data recording will produce much better data that will be used by research institutions for better models and improved statistical evaluations of diabetes and diabetes treatment. Statistical evaluation and actual glycaemia values will also be visible to the patients allowing them for the first time continuous feedback and monitoring of the trends of their health conditions in time. The main components are an insulin infusor where parameters are continuously adapted, a continuous glycaemia measuring device and a model of the human physiology in order to compute the infusion rate as a function of glycaemia and time.
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METABO project is partially funded by the European Commission.