Lena Rettinger, MSc Academic Stafflena.rettinger@fh-campuswien.ac.at T: +43 1 606 68 77-4382 F: +43 1 606 68 77-4389 Room: D.1.21 Favoritenstraße 226 1100 WienLectures 2021/22Engineering> Introduction to Health Assisting Engineering VO Health Assisting Engineering moreIntroduction to Health Assisting Engineering VOLector: Dr. Harald Jagos, Lena Rettinger, MSc, FH-Prof. Dipl.-Ing. Mag. Dr.techn. Franz Werner1SWS2ECTSLecture contents- Introduction to the research field of Health Assisting Engineering - Introduction to the concept of quality of life, as well as to possibilities of supporting quality of life by means of technical aids - Current developments in the research field and in the environment of the study program Health Assisting Engineering - Overview of the current state of R&D in the field of health technologies- Focus on assistive robotics, categories, areas of application, possible benefits, challenges in R&D - Focus on wearable electronics for gait and movement analysis and for controlling physical activity levels; application areas, challenges and testing in practice; - Current project and product examplesAssessment methodsFinal exam Final written examinationTeaching methodsLecture, group workLanguageGerman> Models, concepts and classifications in healthcare… Health Assisting Engineering moreModels, concepts and classifications in healthcare ILVLector: Lena Rettinger, MSc1.5SWS3ECTSLecture contentsClassification and description possibilities of - Functional impairment and functional capacity (e.g. WHO ICF) - Medical diagnoses (e.g. WHO ICD) - Medical and therapeutic interventions (e.g. WHO ICHI) - Assistive devices (ISO 9999) - Quality of life - Care needsAssessment methodsContinuous assessment Immanent performance assessment through group work and presentationsTeaching methodsLecture, group work, case studies, discussions, final presentationLanguageGerman> Evidence based practice SE Health Assisting Engineering moreEvidence based practice SELector: Lena Rettinger, MSc1SWS2ECTSLecture contentsClarification of terms, development of a clinical question, scientific literature search in databases, critical reading and evaluation of scientific articles, basics of quantitative and qualitative research and clinical studies.Assessment methodsFinal exam Seminar paperTeaching methodsLecture, group work, individual work, practical exercisesLanguageGerman> Current Topics in Digital Health ILV Health Assisting Engineering moreCurrent Topics in Digital Health ILVLector: Dipl.-Ing. Dr. Dieter Hayn, MBA, Lena Rettinger, MSc1SWS2ECTSLecture contentsPresentation and discussion of current technological trends in healthcare. Critical examination of current research topics and journal publications. Big Data in healthcare and possible applications of artificial intelligence (for example Deep Learning, Machine Learning) in the field of healthcare technologies will be presented and discussed. Telerehabilitation. Theoretical foundations of telerehabilitation, areas of use and application, target groups, societal benefits and goals of the use of telerehabilitation, current state of research and available evidence, state of the art, current systems in use in studies and in the product area.Assessment methodsModule examTeaching methodsInteractive lecture with exercises on the specific focal pointsLanguageGermanPublications The publications of Lena Rettinger written at FH Campus Wien can be found in our publication database, others in the personal web space.
> Introduction to Health Assisting Engineering VO Health Assisting Engineering moreIntroduction to Health Assisting Engineering VOLector: Dr. Harald Jagos, Lena Rettinger, MSc, FH-Prof. Dipl.-Ing. Mag. Dr.techn. Franz Werner1SWS2ECTSLecture contents- Introduction to the research field of Health Assisting Engineering - Introduction to the concept of quality of life, as well as to possibilities of supporting quality of life by means of technical aids - Current developments in the research field and in the environment of the study program Health Assisting Engineering - Overview of the current state of R&D in the field of health technologies- Focus on assistive robotics, categories, areas of application, possible benefits, challenges in R&D - Focus on wearable electronics for gait and movement analysis and for controlling physical activity levels; application areas, challenges and testing in practice; - Current project and product examplesAssessment methodsFinal exam Final written examinationTeaching methodsLecture, group workLanguageGerman
> Models, concepts and classifications in healthcare… Health Assisting Engineering moreModels, concepts and classifications in healthcare ILVLector: Lena Rettinger, MSc1.5SWS3ECTSLecture contentsClassification and description possibilities of - Functional impairment and functional capacity (e.g. WHO ICF) - Medical diagnoses (e.g. WHO ICD) - Medical and therapeutic interventions (e.g. WHO ICHI) - Assistive devices (ISO 9999) - Quality of life - Care needsAssessment methodsContinuous assessment Immanent performance assessment through group work and presentationsTeaching methodsLecture, group work, case studies, discussions, final presentationLanguageGerman
> Evidence based practice SE Health Assisting Engineering moreEvidence based practice SELector: Lena Rettinger, MSc1SWS2ECTSLecture contentsClarification of terms, development of a clinical question, scientific literature search in databases, critical reading and evaluation of scientific articles, basics of quantitative and qualitative research and clinical studies.Assessment methodsFinal exam Seminar paperTeaching methodsLecture, group work, individual work, practical exercisesLanguageGerman
> Current Topics in Digital Health ILV Health Assisting Engineering moreCurrent Topics in Digital Health ILVLector: Dipl.-Ing. Dr. Dieter Hayn, MBA, Lena Rettinger, MSc1SWS2ECTSLecture contentsPresentation and discussion of current technological trends in healthcare. Critical examination of current research topics and journal publications. Big Data in healthcare and possible applications of artificial intelligence (for example Deep Learning, Machine Learning) in the field of healthcare technologies will be presented and discussed. Telerehabilitation. Theoretical foundations of telerehabilitation, areas of use and application, target groups, societal benefits and goals of the use of telerehabilitation, current state of research and available evidence, state of the art, current systems in use in studies and in the product area.Assessment methodsModule examTeaching methodsInteractive lecture with exercises on the specific focal pointsLanguageGerman