Abstract
Chronic diseases like those related to the cardiovascular system are among the most common causes of death worldwide, as are chronic obstructive diseases of the lung (COPD: chronic obstructive pulmonary disease). In most cases, the disease progression can be slowed down, yet there is no way to stop it. To this end, strict therapy compliance, along with the continuous monitoring of vital parameters, appears crucial. With the development of connected terminal devices and progress made in information technologies over the past years, continuous patient monitoring is now possible without requiring costly hospitalizations. In the best-case scenario, this translates into improved, or at least not deteriorated, quality of life for the patients, with only a minor impact on their daily life. The COMPASS1 (COntinuous multi-variate Monitoring of Patients Affected by chronic obstructive pulmonary diSeaSe) project [1, 2] seeks to develop a personal health system (PHS) [3, 4] that is capable of continuously monitoring vital parameters and compressing patient data, while ensuring interoperability and patient safety, in addition to providing prognostic information. This article presents a novel approach to combining interoperability with HL7 standards whilst simultaneously ensuring data compression via compressive sensing [5].
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