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Markus Nilsson Dept. Of Computer Science and Engineering Mälardalen University Västerås, Sweden
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Project X? Industrial funded PhD Student Funding: KK-stiftelsen50% Stress Medical Innovation & Development AB 40% Mälardalen University10%
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A Medical System Analyze measurements Diagnose patient status Predict future symptoms
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Related research Stress medicine: One group in Israel and one in Texas, USA. AI - CBR: Janet L. Kolodner, Georgia Institute of Technology, USA Ian Watson, University of Auckland, New Zealand. Roger C. Schank, Institute for the Learning Science, Northwestern University, USA
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Related projects No similar projects exists combining stress medicine and AI. Medical diagnosis and CBR: TROPIX -Tropical disease diagnosis and treatment Medical diagnosis and RBR: MYCIN, PUFF...
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Facts & Figures A spin-off company from Karolinska Institutet Focused on development Specialized in diagnosing and treatment of stress related diseases Located: Karolinska Institutet, Stockholm Uppsala Science park, Uppsala Aprox. 6 employees One product released – AirPas(2001)
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Current system Air-Pas Sensors, electronics, pc, expert system Rules derived from the company expert, PhD Bo von Schéele Automatically generates a report Electronics, A/D converters Patient Expert lpr Report Expert System PC Illustrations adapted from Peter Funk
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AirPas Measuring: Oxygen saturation (Sa0 2 ) Blood Volume Pulse (BVP) Heart Rate (HR) Carbon dioxide levels (CO 2 )
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AirPas Calculating: Top level of CO 2, (ETCO2) Respiration Rate (RR) Collecting data from several sessions under different conditions
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Problems Limited ability to diagnose Maintenance & Brittleness Only Bo can do a complete diagnose Domain limitations – e.g. Yoga Supervisor required
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Research Challenges 1.Eliminate the need for an expert 2.Produce more accurate diagnosis 3.Suggest treatment 4.Solve problems outside the knowledge of current system 5.Handle unknown situations 6.Learn and improve 7.Share the knowledge
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Summary Stressmedicine and AirPas. Rule Based reasoning not sufficient Little related research (CBR & Medicine).
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