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Children obesity treatment support with telemedicine M. Kozlovszky 1,2 K. Karóczkai 2 , B. Jókai 1 , B. Ruda 1 , D. Kacsuk 1 , Zs. Meixner 1 1 Óbuda University/John von Neumann Faculty of Informatics, Budapest, Hungary 2 MTA SZTAKI/Laboratory of Parallel and Distributed Computing, Budapest, Hungary
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Children obesity treatment support with telemedicinedc-vis.irb.hr/repository/2014/Children_obesity... · Children obesity treatment support with telemedicine M. Kozlovszky1,2 K. Karóczkai2,

Jan 25, 2021

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  • Children obesity treatment support with telemedicinepp

    M. Kozlovszky1,2 K. Karóczkai2, B. Jókai1, B. Ruda1, D. Kacsuk1, Zs. Meixner1

    1 Óbuda University/John von Neumann Faculty of Informatics, Budapest, Hungary2 MTA SZTAKI/Laboratory of Parallel and Distributed Computing, Budapest, Hungary

  • Outline• Motivation– Obesity– Children obesity

    • Gaming hardware available• High level system overviewg y• Pre-filtered games• DAQit - Mobile data acquisition framework• DroidHUB - Sensor set • DrHealth - Data management center • Future plans• Conclusions

  • Meet the problem - Obesity• Considered an endemic within Europe • Example: – 1.5M/10 M Hungarian is definitely obese– 2.7 M/10M Hungarian considered overweight/ g g

    • Several morbidities was casually linked to obesity:– non-insulin dependent diabetes mellitus (NIDDM),

    stroke, ischemic heart disease (IHD), immunological and reproductive dysfunctions and certain neoplasms.

  • Meet the problem - Children obesity• Diseases such as:– Down-syndrome remain at younger mental state

    • Obese kids do not want to do sports• Obese kids still like to play• Motivation is a key to success• How to motivate a „children”?– „Good outfit” no effect…– Also other higher level drives are poorly or not working– Gamification of the problem is an option…

  • Gaming hardware available• PC games• Console games with movement sensors– Wii– Microsoft Xbox + Kinect– Sony Playstation– Omni

    • Primary ranking factors– Price– Popularity– Effectivness

  • MS XBOX & Kinect

    6

    Kinect with RGB camera and infra sensor

  • High-level system overview

    Gaming console (e.g.: XBOX & Kinect)

  • Pre - filtered games

    XBOX 360Target

    audience TypeKinect Rush: A Disney Pixar Adventure Everyone (4+) adventure game

    Kinect Adventures Everyone (4+) adventure gameKinect Adventures Everyone (4+) adventure game

    Kinect Sports Everyone (10+) sport

    Kinect Sports: Season 2 Everyone (10+) sport

    Kinect Sports Ultimate Everyone (10+) sport

    Dance Central Everyone (12+) dance

    Just dance x Everyone (12+) dance

  • DAQit - Mobile DAQ framework• Connect small, portable DAQ devices to the data center• Silent sensor DAQ mode at client side (automatic sensor

    data collection)• Automatic sensor data pre-evaluation (if needed)• Automatic data compression and encryption during data

    transmission towards the data center (if needed)• DAQ mode via USB or Bluetooth• Compatibility with large number (about 90%) of available

    Android based mobile devices (Android version 2.1+)• Health status visualization (if needed)

  • DroidHUB - Sensor set

    –Modular system–Basic setup:• Pulse

    –Additional sensors• Activity monitors• ECG

  • DrHealth - Data management center • Automatic energy consumption calculation • Internet/Web based access• Data archive• Activity/Training plans• Activity/training log with sensor data• Data sharing professionals/trainers vs. patients

  • Future plans

    • More console game evaluation calorimetry tables

    • Integrated decision support system (at client and server side)and server side)

    • Increase existing number of facilities 20

  • Conclusions• We have built up an obesity monitoring solution with our

    DAQit framework for children.• We use games (console systems as training devices) for

    motivation and training• We have integrated the DAQit framework with MS XBOX

    indoor game console system.• We have evaluated available movement controlled games• Gaming/training efficiency and health status can be

    monitored• First monitoring facility at a medical service provider

    launched in February

  • ACKNOWLEDGMENTSThe projects have been supported by the European Union. The

    authors would like to thank GOP-1.1.1-11-2012-0055- Dialogic „DIALOGIC – Mathematical model based decision support system for diabetes monitoring” for its financial support. This work makes use some of the results produced by the p yAALAMSRK project (Research & development of assisted living patterns and their integration into decision support system to promote the quality of life at home), Hungarian National Technology Programme, A1, Life sciences project. Authors would like to thank for their financial support hereby.

  • Thank you for your attention…

    www.daqit.com

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