ROBO M.D. and other subprojects implemented in Innovation 4 Welfare program
Dr. Petr Bartoš, Ph.D.
University of South Bohemia IFA2012Faculty of Pedagogy May 30th 2012Department of Applied Physics and Technology Prague
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
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
Johannes Kepler University
Italian National Research Council
University of Applied Sciences
University of TartuBudget
AT 135.000 €
IT 70.000 €
NL 101.360 €
CZ 76.000 €
EE 63.636 €
445.996 €
Participants
University of South Bohemia
System architecture
Medical service, nurse, guardian, …
Software
data processing decision
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
Signals and detection
Software running on a PC
Data processing
Decision / Alert
• 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
Questionaire, robot• Daily questions were created
„Would you like to answer some questions today?“no answer: -- repeat questionno: -- do not ask anything more yes: start to ask…e.g.,
„Are you feeling ok today?“
…
• Questions in the case of an alert were createdExample: Algorithm detects a fall“Did you fall down?“
no answer: confirm the alarmno: wrong detection by the algorithmyes: confirm the alarm
“Do you need help?”yes: organize help (out of
scope of this project)no: --no answer: organize help
• 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...
• 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
