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.

Slides:



Advertisements
Similar presentations
The smart home of the future
Advertisements

ICT in Healthcare Topic 6.
Prospectus about Land Rover type reconnaissance car.
The Fault-Tolerant Insulin Pump Therapy Alfredo Capozucca, Nicolas Guelfi, Patrizio Pelliccione University of Luxembourg Faculty of Sciences, Technologies.
There are several research studies we would like to pursue with the HealthMonitor. These include long term monitoring of the elderly. We’re interested.
SensMax People Counting Solutions Visitors counting makes the most efficient use of resources - people, time and money, which leads to higher profits in.
Position Systems Ltd Telecare Apps Pillminder – A Smartphone App for Medication Management.
Low Cost Wearable Monitoring System (Advisor Dr.Assim Sagahyroon ) By: Ali Hazem Umair
ELG 5121: Multimedia Communications Course Instructor: Prof. Dr. A. El Saddik Project Presentation: Fall 2010 Md. Mahmud Hasan (Group No. 12)
Help or Hal? Smart Homes & Elderly Care. Smart Homes A smart home (sometimes referred to as a smart house or eHome) is one that has highly advanced automatic.
Improving the quality of life with Medical Grade Platform, Personal Monitoring and Alarming System.
Redshift for Hotels and Motels Managing your heating and cooling costs whilst supporting your customers.
Mestrado em Informática Médica SIntS 13/14 Course Projects Miguel Tavares Coimbra.
Clemson University Bluetooth™ Enabled Accelerometer Tracking (BEAT) Technology for Leg Ulcer Patients Aleksey Shaporev 1, Vladimir Reukov 1, Chengyi Tu.
Module 3: Business Information Systems
Integrated support for dealing with chronically ill patients Ole Martin Winnem SINTEF Telecom and Informatics.
HealthGear: A Real-time Wearable System for Monitoring and Detecting Sleep Apnea Nuria Oliver Microsoft Research.
PERSONAL MEDICAL MONITOR Jason Ewing, Morgan Hinchcliffe, Dina Irgebayeva and Aida Kulmambetova.
Department of Signals and Systems Disease Management System for CHF Patients Bengt Arne Sjöqvist, Adj. Professor, Chalmers University of Technology Kaj.
Wireless Health Care in Japan Japanese Wireless Healthcare Market Overview Start Date: 10/09/2009 Start Time: 11:00 AM End Time: 12:00 PM Location: San.
Home Health Care and Assisted Living Professor John A. Stankovic Department of Computer Science University of Virginia.
IntroOH-1 CSE 5810 Wireless Body Sensor Networks (WBSN) in Healthcare Aljoharah A. Algwaiz Computer Science & Engineering Department The University of.
Chapter 1- “Diversity” “In higher education they value diversity of everything except thought.” George Will.
L ă cr ă mioara STOICU-TIVADAR, Vasile STOICU-TIVADAR, Dorin BERIAN “Politehnica” University Timisoara Department of Automation and Applied Informatics,
New pHealth approach to monitoring of seniors and handicapped people Jiri Chod, Czech Technical University in Prague Jaroslav Jansa, Immobiliser Central.
Ruslan Masinjila Aida Militaru.  Nature of the Problem  Our Solution: The Roaming Security Robot  Functionalities  General System View  System Design.
Technology in Health Care By: Brook Niles.  An electronic medical record is a digital and portable version of the current paper file system that would.
Accessible Home Vital Signs Monitoring System
Presentation for ENSC 440/305 Instructors: Patrick Leung, Steve Whitmore Department of Engineering Science Simon Fraser University.
Final Year Project Home Automation with an Internet Tablet and Linux MCE Damien Lee 4 ECE Supervisor : Dr. John Breslin.
Homework 3 – Sample Solution Targeted Application –Electronic medical records (EMR) system in the “Designing Human-Centered Distributed Information Systems”
The 11th Global Conference on Ageing 28 May – 1 June 2012 Prague Research on usability for ICT system to improve the health of dependent elderly people.
A Pervasive Architectural Framework for Providing Remote Medical Treatment Author:D. Vassis, P. Belsis, C.Skourlas,G.Pantziou 1.
Home Guard Security System. Introduction & Basic Ideas Home Guard Security System.
Change Seminar October Change Discussions One discussion topic each week Three presenters Each presenter discusses one project and prepares discussion.
3 May, P3C Communicator Rabia Haq Justin Hollingsworth Richard Strosahl Matthew Wong Zachary Young Prototype Demonstration.
Accessible Home Vital Signs Monitoring System Kristyn Eilertsen Adam Goodale Stephen Kepper Sunil Narayan Stacey Tarver Group 22 BME 272.
Copyright All rights reserved. GERONTECHNOLOGY RESEARCH CENTER 遠端臨場機器人在遠距居家照護之應用 PMC 學界智慧型機器人研究成果商品化媒合活動( 2008 年 6 月 25 日) 1 徐業良 元智大學主任秘書 機械系教授 老人福祉科技研究中心主任.
Polygraph Lie Detection Research Human Computer Interaction University of Hawaii Manoa Psychophysiology of Utah.
Theme 2: Hospital design to reduce adverse events CEO, Jane Kraglund Odense University Hospital.
SFTW241 Programming Languages Architecture I University of Macau Faculty of Science and Technology Computer and Information Science Year2 Class A Group.
Wireless Man-Machine Communication Meredith Grow Alencia Woodard Advised by: Richard Fries.
IEEE N SubmissionLiang Li VinnoSlide 1 Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission.
Student Name USN NO Guide Name H.O.D Name Name Of The College & Dept.
Measurable Milestones END-PRODUCT DESCRIPTION The bed monitor system helps prevent injury by predicting when an individual is attempting to leave the bed.
Blood Glucose Sensor System -Yashwanth Prakash. Application Establish a wireless communication link between an implantable glucose-sensor and a phone/computer.
This sensors the brightness of your screen. It adjusts the display screens brightness automatically. When its dark it takes the brightness down and when.
A Cost Effective Centralized Single parameter Patient Monitoring System Abstract Lack of Medical monitoring equipment's in rural areas of underdeveloped.
Wearable health systems: from smart technologies to real applications Lymberis A, Gatzoulis L European Commission, Information Society and Media Directorate-
Projekt „ESSNBS“ Niš, November 4 th – 7 th, DAAD Wireless Measurement System for Environmental Monitoring and Control MM. Srbinovska, V. Dimcev,
Embedded System Design and Development Introduction to Embedded System.
ENGINEERING INNOVATION AWARDS NATIONAL ENGINEERING INNOVATION PRIZE (NIEP) CARDIOCAST.
Senior Inspect. Who are we? What do we do? How do we do it? What have we done? How much does it cost? How can we cooperate in the project?
GCRC Informatics Project Sponsor: Dr. Paul Harris, GCRC Informatics Director Members: Chris Heath, BME/EE Adam Nagel, CompE Chris Nash, EE Brendan Soar,
1 Innovations in Wireless Health. 2 Disclaimer QUALCOMM Incorporated, 5775 Morehouse Drive, San Diego, CA Copyright © 2008 QUALCOMM Incorporated,
Contents Introduction Requirements Design Technology Working Interaction.
BY: JESSICA ODOM Importance of Alarm Fatigue. Objectives Participants will be comprehend the history and background associated with alarm fatigue Participants.
IntroOH-1 CSE 5810 Remote Health Care Monitoring by Wearable Sensors and Mobile Devices Kanchan Jha Computer Science & Engineering Department The University.
Personal Home Healthcare System for the Cardiac Patient of Smart City Using Fuzzy Logic Shijia Liu.
PATIENT HEALTH MONITORING AND ALARMING
Activation method of smart phone alarm on attempt to open door or windows wireless Artificial Intelligence IoT Solutions for Health and Wellness by:
Smart I (eye) Advisory Rescue Systems (SIARS)
PATIENT MONITORING SYSTEMS
What happens in the operating room?
Non-invasive cardiac pulse measurement
Practical Biomonitoring using Wireless Technology
Internet of Things (IoT)
Information Systems Management
Smart I (eye) Advisory Rescue Systems (SIARS)
Presentation transcript:

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

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 Tartu Budget AT € IT € NL € CZ € EE € € 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: £ 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, ≠ 2 Signals and detection

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

Thank you for your attention!

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