Bjørn Magnus Mathisen

ESUMS: A mobile system for continuous home monitoring of rehabilitation patients

The pressure on the healthcare services is building up for several reasons. The ageing population trend, the increase in life-style related disease prevalence, as well as the increased treatment capabilities with associated general expectation all add pressure. The use of ambient healthcare technologies can alleviate the situation by enabling time and cost-efficient monitoring and follow-up of patients discharged from hospital care. We report on an ambulatory system developed for monitoring of physical rehabilitation patients. The system consists of a wearable multisensor monitoring device; a mobile phone with client application aggregating the data collected; a service-oriented-architecture based server solution; and a PC application facilitating patient follow-up by their health professional carers. The system has been tested and verified for accuracy in controlled environment trials on healthy volunteers, and also been usability tested by 5 congestive heart failure patients and their nurses. This investigation indicated that patients were able to use the system, and that nurses got an improved basis for patient follow-up.

The Linked Data AppStore

This paper introduces The Linked Data AppStore (LD-AppStore) – a Software-as-a-Service platform prototype for data integration on the Web. Building upon emerging Linked Data technologies, the LD-AppStore targets data scientists/engineers (interested in simplifying tasks such as data cleaning, transformation, entity extraction, data visualization, crawling, etc.) as well as data integration tool developers (interested in exploiting the use of their tools by data engineers). This paper provides an overview of the architecture of the LD-AppStore, the APIs of the basic data operations supported by the platform, presents a set of data integration workflows, and discusses the current status of the implementation.

Defining the Initial Case-Base for a CBR Operator Support System in Digital Finishing

Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time-demanding task though the same literature does not report in detail on how to build your initial case base. The main contribution of this paper is the description of the methods that we used in order to build the initial case-base including the steps taken in order to make sure that the quality of the initial case set is appropriate. We first present the domain and argue why CBR is an appropriate solution for our application. Then we detail how we created the case base and show how the cases are validated.