Requirement Analysis concerning the Integration of 3d Leg Oedema Detection in the Homemonitoring of Heart Failure Patients

Heart failure is a common disease of older people, providing high re-admission rates after hospital discharge. Though home monitoring can reduce the re-admission rate, detection of severe events needs to be improved, e.g. using new sensors for oedema detection. We describe the requirements for integrating a 3D image based leg oedema detector in an existing home monitoring scenario. Three major aspects are suggested: integration of the sensor in a body weight scales; enhanced alarm generation based on body weight and leg geometry; and adaptions of the physician’s Webinterface.