Myriam Lipprandt

A Service Oriented Platform for Health Services and Ambient Assisted Living

Providing health care and assistance at home becomes more and more important due to the aging society and - in general - a health system under financial pressure. It is generally accepted that these services have to be supported by an eHealth infrastructure that enables the exchange of patient related data between different health institutions and assistance systems athome (referred to by the term AAL). In this paper a service-oriented architecture for delivering eHealth / AAL services at home using a hardware platform such as a residential gateway or a set-top-box is proposedand exemplified by three different services: (1) telerehabilitation of patients after heard surgery, (2) support of hearing impaired people and (3) the monitoring of Activities of Daily Living (ADL).

OSAMI-D: An open service platform for healthcare monitoring applications

In this paper conceptions and architectural considerations of the OSAMI project and their specializations towards the requirements of the e-health domain by the German subproject (OSAMI-D) are described. Along with the expected shift of healthcare service between stationary towards ambulatory care, a standardized way of integrating medical data acquired at home into the IT infrastructure of hospitals and the synchronization with medical workflows have to be implemented. Therefore, the OSAMI-D project will provide open source components that implement the required interfaces. Preliminary results of the requirements analysis and the implementation of first domain-specific services are presented. These services are used to realize two home care scenarios, which support ambulant cardiologic rehabilitation (indoor and outdoor). Special emphasis is placed on standards and formats for the communication and storage of patient data.

3DLC: A Comprehensive Model for Personal Health Records Supporting New Types of Medical Applications

Motivated by the demographic change, many new medical applications are installed in the users home environment. These applications make use of ambient sensors, enabling new forms of medical care. Personal Health Records (PHRs) are an instrument for the storage, presentation and communication of health related data provided by these applications. But there are still open issues regarding the cooperation between PHRs and the new applications. On the basis of two medical application scenarios, we developed a new model which defines the appropriate level of abstraction of data generated by medical applications to be stored inside the PHR. The model also determines which part of these data is relevant for the clinical decision making process, and how these data should be communicated to physicians. This paper describes the 3DLC model, which uses three dimensions (clinical decision, frequency and context dependence) to determine the type of the data. We further introduce a prototype PHR system that is able to fulfil the requirements of our scenarios.

Generic platform for advanced E-health applications

The demographic change and the cost pressure in the healthcare sector drive the need for efficient and secure medical homecare solutions which apply for the people who are elderly or in anastasis. As the complexity of such systems is rising, there is a need of a common foundation of components which can be reused to lower the implementation effort of such systems. The European ITEA2 OSAmI research project targets such a common foundation of basic components for a basic, widely applicable service-oriented component platform. The German OSAmI-D subproject develops a construction kit based on the OSAmI component platform with a particular focus on services for medical and E-Health applications. The results of the ongoing project and especially the foundation of reusable components are demonstrated in the scenario of home-based ergometer training during the rehabilitation of patients with cardiologic illnesses.

Gebrauchstauglichkeit und Patientensicherheit in E-Health-Anwendungen

E-Health als Oberbegriff fur vernetzte und mobile IT im Gesundheitswesen kann zur Sektor ubergreifenden Gesundheitsversorgung beitragen und neue Versorgungsformen etablieren. Technische Innovationen wie z. B. Telemedizin, Ambient Assisted Living (AAL) oder die hausliche Intensivpflege setzen wieder Prozessinnovationen in Gang, die zu einer Erweiterung von Leistungen fuhren und eine umfassende Versorgung gewahrleisten konnen. Innerhalb der E-Health-Domane konnen die Grenzen zwischen Medizin, Pflege und den Gesundheitsleistungen jenseits der Sozialversicherung verschwimmen.

AAL-Onto: A Formal Representation of RAALI Integration Profiles

The integration and commissioning of Ambient Assisted Living (AAL) systems are time consuming and complicated. The lack of interoperability of available AAL system components has to be considered as an obstacle especially for innovative SMEs. In order to ease integration and commissioning of systems, knowledge based methods should be taken into account to enable innovative characteristics such as design automation, self-configuration and self-management. Semantic technologies are suitable instruments for mastering the problems of interoperability of heterogeneous and distributed systems. As an important prerequisite for the emergence of knowledge-based assistance functions a standard for an unambiguous representation of AAL relevant knowledge has to be developed. In this article, the development of an AAL ontology is proposed as a formal basis for knowledge-based system functions. A prototype of an AAL specific ontology engineering process is presented through the modeling example of a formal representation of a sensor block that is part of an AAL Integration Profile proposed by the RAALI project consortium.

Representation of Integration Profiles Using an Ontology

The Integration and commissioning of AAL systems are time consuming and complicated. The lack of interoperability of available components for Ambient Assisted Living has to be considered as an obstacle for innovative SMEs. In order to ease integration and commissioning of systems knowledge based methods should be taken into account to enable innovative characteristics of AAL systems such as design automation, self-configuration and self-management. Hence, semantic technologies are suitable instruments which offer the capability for mastering the problems of interoperability of heterogeneous and distributed systems. As an important prerequisite for the emergence of knowledge-based assistance functions a standard for unambiguous representation of AAL-relevant knowledge has to be developed. In this paper, the development of an AAL-ontology is proposed as a formal basis for knowledge-based system functions. A prototype of an AAL specific ontology engineering process is presented through the modeling example of a formal representation of a sensor block which is part of an AAL-Integration Profile proposed by the RAALI consortium.

Einbettung assistierender Technologien in Gesundheitsnetzwerke – von der Wohnung zum Arzt

Die Bedeutung Informationstechnik(IT)-gestutzter Dienstleistungen fur die Sicherstellung bzw. Verbesserung von Qualitat und Effizienz der Gesundheitsversorgung ist langst weltweit erkannt. In ihrer eHealth-Resolution mahnt die World Health Organization bereits 2005 ihre Mitgliedsstaaten, entsprechende Programme systematisch umzusetzen (WHO Executive Board 2005). In reicheren Landern mit gut umfassender Versorgungsstruktur liegt das Potenzial in der Uberwindung okonomischer, wissenschaftlicher und, sozialer und operativer Barrieren. Im Fokus steht dabei die Unterstutzung eines „citizen-preventioneducation-home based“ (Healy 2007) Versorgungsparadigmas.

Determining Cardiopulmonary Resuscitation Parameters with Differential Evolution Optimization of Sinusoidal Curves.

In this paper, we present a robust sinusoidal curve fitting method based on the Differential Evolution (DE) algorithm for determining cardiopulmonary resuscitation (CPR) parameters – naming chest compression frequency and depth – from skeletal motion data. Our implementation uses skeletal data from the RGB-D (RGB + Depth) Kinect v2 sensor and works without putting non-sensor related constraints such as specific view angles or distance to the system. Our approach is intended to be part of a robust and easy-to-use feedback system for CPR training, allowing its unsupervised training. We compare the sensitivity of our DE implementation with data recorded by a Laerdal Resusci Anne mannequin. Results show that the frequency of the DE-based CPR is recognized with a variance of ±4.4 bpm (4.1%) in comparison to the reference of the Resusci Anne mannequin.

Sicherheitskritische Mensch-Maschine-Interaktion in der Medizin

Medizinprodukte und Gesundheitsanwendungen z. B. aus dem E-Health-Bereich sind heutzutage allgegenwartig. Aus ihrer Nutzung konnen sich potenzielle Risiken fur den Anwender (z. B. dem Patienten) ergeben. Der Gesetzgeber hat daher mit dem Medizinproduktegesetz und den zugehorigen Normen regulatorische Anforderungen an die Software und die Mensch-Maschine-Interaktion von Medizinprodukten gestellt. Die regulatorischen Anforderungen legen alle Schritte von der Zweckbestimmung des Produkts bis zum Inverkehrbringen fest. Hierfur sind eine eingehende Dokumentation und die Einhaltung des strukturierten Vorgehens beim Software-Lebenszyklusprozess und der Gebrauchstauglichkeit notwendig. Die potenziellen Benutzungsfehler in der Mensch-Maschine- Interaktion werden durch einen verschrankten Usability- und Risikomanagementprozess normativ festgelegt und eingefordert. Daher werden die wichtigsten normativen Anforderungen zum Usability Engineering nach DIN EN 62366 und dem Risikomanagement nach DIN EN ISO 14971 praxisnah vermittelt.