Data warehousing imposes itself as an attractive solution for centralizing and analyzing high quality data.In the medical research field,this technology can be used to validate assumptions and to discover trends on large amount of patient data. However,in many medical studies based on knowledge extraction,medical data and especially raw sensor data need to be preprocessed before turning to valuable material for data-mining features.Scientists,researchers and physicians emphasize the necessity to be able to select raw sensor data,processed information and also the appropriate transforming processes.We propose a solution to ease medical data mining by integrating data and processes into a single warehouse.Our solution provides features for loading,modeling and querying the medical data warehouse.Stored data are multidimensional data (patient identity,therapeutic data …),raw sensor data (electrocardiogram,X-ray … )and software components.A prototype has been implemented and is illustrated in the cardiology domain.