1. ROBO M.D. and other subprojects implemented in Innovation 4 Welfare program Dr. Petr Bartoš, Ph.D. University of South Bohemia IFA2012 Faculty of PedagogyMay 30th 2012 Department of Applied Physics and TechnologyPrague

2. Introduction Program Innovation 4 Welfare is financed by the European Union. - 8 projects, duration 1.5 year: FITHERHAB FOBOS HAS PASSPORT MNEMOSYNE MRH PICKFIBER ROBO M.D. TIAM

3. ROBO M.D. ROBO M.D. (Monitor & Detect) – monitor bio-signals – detect critical situations and possibly predict them, before they occur. – focused on elderly persons living at home Specifications/requirements on the system: – to develop low-cost equipment – system based on modular structure – wireless communication of all the components – easy to use – non-invasive system

4. Johannes Kepler University Italian National Research Council University of Applied Sciences University of Tartu Budget AT135.000 € IT70.000 € NL101.360 € CZ76.000 € EE63.636 € 445.996 € Participants University of South Bohemia

5. System architecture Medical service, nurse, guardian, … Software  data processing  decision

6.  What we would like to monitor – ECG – EEG – Skin Temperature – Acceleration – Blood Pressure (continuously) – Respiration – O2 Saturation – Glucose concentration  What we can monitor easily – ECG (single lead) – Skin Temperature – Acceleration cost: 1.000 £ Signals and detection

7. Software running on a PC Data processing Decision / Alert

8. What we would like to detect (predict) – Heart attack – Stroke – a fall – Apnea – Hyper-, Hypotension – Hyper-, Hypoglycemia – … To be able to detect one special case, we need the right information from the user (monitor signals) The combination of some signals might give additional information  Cross analysis, 1 + 1 ≠ 2 Signals and detection

9. Questionaire, robot Daily questions were created „Would you like to answer some questions today?“ no answer: -- repeat question no: -- do not ask anything more yes: start to ask…e.g., „Are you feeling ok today?“ … Questions in the case of an alert were created Example: Algorithm detects a fall “Did you fall down?“ no answer: confirm the alarm no: wrong detection by the algorithm yes: confirm the alarm “Do you need help?” yes: organize help (out of scope of this project) no: -- no answer: organize help

10. Thank you for your attention! bartos-petr@seznam.cz

11. Limited range of the wireless connections (Bluetooth – 10m) No connection through walls, i.e. the PC has to be located in the same room as the patient Quality of the recorded signals is partially bad The electrode of the ECG sensor has to be replaced every day The robot can only operate in a room without obstacles Problems to solve...

12. Target group: elderly people, living (alone) at home or almost autonomous in home for old people Automatic detection of critical situations (e.g., a fall) as well as automatic initialization of rescue procedure, if needed Use of measurement devices which do not increase the burden of the patient Use of rather cheap equipment, wireless devices, simplest possible interaction with the user Collection of sensor data to predict critical situations (e.g., general dangerous long-term variation in the heart activity) If required, forward the data to a professional (medical doctor) for analysis development until series-production readiness (we are far from it!) Connections of the system with medical personnel, or any other external organizations Project idea No goals of the project