The ETIOBE Project: A Supporting System for Children Obesity CYBETHERAPY 2008 SAN DIEGO Rosa Baños, Cristina Botella Alvaro Frías, Mariano Alcañiz Ausias.

Slides:



Advertisements
Similar presentations
The smart home of the future
Advertisements

Self-Management Education Chapter 7 Helen Jones, Lori D Berard, Gail MacNeill, Dana Whitham, Catherine Yu Canadian Diabetes Association 2013 Clinical Practice.
Information Society Technologies Information Society Technologies Workprogramme 2001 DG Information Society European Commission HEALTH Action Line I.1.1.
Technological-enhanced treatment of emotional eating in obese subjects: A randomized controlled clinical trial Alessandra Gorini Mauro Manzoni, Francesco.
Chapter 61 Introduction to Information Technology Turban, Rainer and Potter John Wiley & Sons, Inc. Copyright 2005.
A MERICAN P SYCHOLOGICAL A SSOCIATION 11. Forensic Issues II.
Digital Health: Connecting Your Medicines to the Internet Means Better Care at Lower Cost George M. Savage, MD Cofounder & Chief Medical Officer May 2,
LOINC Italia News Maria Teresa Chiaravalloti Technologist at National Research Council, Italy PhD Student at University of Calabria, Italy Giovanna Sannino.
PARTICIPATORY MEDICINE: LEVERAGING SOCIAL NETWORKS IN TELEHEALTH SOLUTIONS Duckki Lee, PhD Stduent Mobile and Pervasive Computing Lab University of Florida.
ABSTRACT The goal of this project was to develop a self-help Android application to aid pregnant women in achieving healthy weight gain during pregnancy.
User-System Interaction a challenge for the present and the future Prof. dr. Matthias Rauterberg IPO Center for User-System Interaction Eindhoven University.
Areas of Clinical Behavior Therapy Chapter 28. ESTs Empirically Supported Treatments –Therapies that have been shown to be effective through scientific.
University of Hawai’i Integrated Pediatric Residency Program Continuity Care Program Medical Home Module Case 4.
Section 10: Application Healthcare Location, tracking and monitoring of patients and assets in the new Hospital La Fe in Valencia, Spain Serafin Arroyo.
Effectiveness of interactive web-based lifestyle program on prevention of cardiovascular diseases risk factors in patient with metabolic syndrome: a randomized.
ETIM-1 CSE 5810 CSE5810: Intro to Biomedical Informatics Mobile Computing to Impact Patient Health and Data Exchange and Statistical Analysis Presenter:
1 “ Innovative Strategies and Practical Tips for Dealing with Childhood Obesity” Presented by: Maraiah Popeleski, RD, CLC & Veronica Mansfield, APRN Middlesex.
SoNDa Sensor Network for Data Explore! 1. SoNDa Sensor Network for Data Explore! KEYWORDS Wireless Sensors Communication 2.
Behavior Strategies in Diet Control The Challenge and the Cure Dr Abeer Al Saweer Consultant Family Physician, Diabetologist Kingdom of Bahrain.
BINGE EATING AND OBESITY In this power point we will review what binge eating and obesity is how it can harm our health what treatments there are for binge.
The New Era of Connected Aging: A Framework for Understanding Technologies that Support Older Adults in Aging in Place Author: Center for Technology and.
Sensor Systems for Monitoring Congestive Heart Failure: Location- based Privacy Encodings Edmund Seto, Posu Yan, Ruzena Bajcsy University of California,
Psychological treatment of childhood obesity: main principles and pitfalls Braet, C, Moens, E. &.Latomme, J. Ghent University.
Using Digital Games and Game Technologies to Promote Fitness Debra Lieberman, Ph.D. UC Santa Barbara and Health Games Research Best Practices in Fitness.
Patient Centered Medical Home What it means for Duffy Health Center Board Presentation September 10 th 2012.
© 2006 MIT Media Lab Social Network Technology to Evaluate and Facilitate Collaboration MIT Media Lab Human Dynamics Group Prof. Alex (Sandy) Pentland.
Introduction Approximately 1 in 3 of adults, have cardiovascular disease vascular/metabolic risk factors such as hypertension, dyslipidemia, and diabetes;
Appendix B: Restorative Care Training Presentation Audience: All Staff Release date: December
Healthy Weight, Healthy Eating: Understanding and helping individuals with weight- and eating-related difficulties Edie Goldbacher, Ph.D. Department of.
Treatments for alcohol misuse in the community Alison Rodriguez Manchester Community Alcohol Team Liz Burns Manchester Public Health Development Service.
Evidence-based Checkup for Patient Education Web Sites Suzanne Austin Boren, MHA Center for Health Care Quality University of Missouri
IBM Research © 2006 IBM Corporation HARMONI: Client Middleware for Long-Term, Continuous, Remote Health Monitoring Iqbal Mohomed, Maria Ebling, William.
Rasheed Rabbi 1. Presentation Outline Research Goal Used example or case study Key Idea and Key words Health Care knowledge repository Questions 2.
1 Chronic Disease Informatics Program Division of Geriatric Medicine and Gerontology Joseph Finkelstein, MD, PhD 1,2, and In cheol Jeong, PhD 1 Feasibility.
MHealth & The Healthy Caribbean Coalition Shivonne Johnson mHealth Coordinator.
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.
1 Physical Activity: Rationale for Inclusion Increases energy expenditure Protects and builds lean body mass Improves psychological factors Reduces risk.
Digital technologies that will bring better care to more people at lower cost Fujitsu Laboratories of America Technology Symposium 5 June 2013 Mark Zdeblick,
Master Course /11/ Some additional words about pervasive/ubiquitous computing Lionel Brunie National Institute of Applied Science (INSA)
Managing Exercise in Persons with Multiple Chronic Conditions Chapter 04.
COMPUTER ALERT SYSTEM AND TELEPHONE SUPPORT TO IMPROVE ANTIRETROVIRAL THERAPY ADHERENCE Kasparas, Gustavo Guillermo (1); Iannella, María del Carmen (2);Bugarin,
Telehealth Technology
OpensensorAalborg University, Mobile Device Group Anders Grauballe Gian Paolo Perrucci Frank H.P. Fitzek Aalborg University Denmark Introducing Contextual.
1 Impact of Implementing Designed Nursing Intervention Protocol on Clinical Outcome of Patient with Peptic Ulcer By Amal Mohamed Ahmad Assistant Professor,
ADOPTION OF HHC’S  Adoption of mobile technologies is a process of social interaction between users, environment and organizations.  Organizational,
TREATMENT OF SUBSTANCE USE DISORDERS TX myths 1. Nothing works 2. One approach is superior to all others (“one true light” tradition) 3. All treatment.
VIRTUAL INFORMATION SPACE for HEALTH CARE by APPLIED LOGIC LABORATORY.
Chapter 8 Education and Intervention Programs for Disordered Eating in the Active Female Jacalyn J. Robert-McComb, PhD, FACSM.
Self-Management Support Strategies for Improving your Patients’ CVD Risk Bonnie Jortberg PhD, RD, CDE Robyn Wearner RD, MA Department of Family Medicine.
Ambient Intelligence: Everyday Living Aid System for Elders
Potential topic for Thematic Networks: Wearable Computing and Smart Clothing – > Active Clothing Brussels, May 15, 2007 Ilkka Saarnio.
The MDFT Model And Some Notes on Germany Andreas Gantner.
Wearable health systems: from smart technologies to real applications Lymberis A, Gatzoulis L European Commission, Information Society and Media Directorate-
1 Innovations in Wireless Health. 2 Disclaimer QUALCOMM Incorporated, 5775 Morehouse Drive, San Diego, CA Copyright © 2008 QUALCOMM Incorporated,
1 Developed by: U-MIC To start the presentation, click on this button in the lower right corner of your screen. The presentation will begin after the.
Changing Psychology with Technology: Engaging Users to Adopt mHealth Long-term December 2, 2015 Bill Saltzstein Code Blue Consulting.
Brief Intervention. Brief Intervention has a number of different definitions but usually encompasses: –assessment –provision of education, support and.
Blue Eye Technology By: ARUN DIXIT. CONTENTS Motivation What is BlueEye technology ? What is BlueEyes ? System designing System overview DAU CSU IBM research.
Holly Jimison, PhD, FACMI College of Computer & Information Science College of Health Sciences Director, Consortium on Technology for Proactive Care Northeastern.
IntroOH-1 CSE 5810 Remote Health Care Monitoring by Wearable Sensors and Mobile Devices Kanchan Jha Computer Science & Engineering Department The University.
Context-Aware Computing
Modeling Approaches for Health Coaching Interventions
General evaluation and acceptance of the MEAL platform: a tool to help nutritionists and teachers to provide Nutrition Education to children. Domínguez,
Behavioral health integration into ambulatory practice
Internet of Things (IoT)
Behavioral health integration into ambulatory practice
Smart Learning concepts to enhance SMART Universities in Africa
Self-Management Education and Support
Collaborative Smart House Environment Computer Science Department University of Cyprus Contact: Christodoulou Eleni.
Introduction and Career Exploration
Presentation transcript:

The ETIOBE Project: A Supporting System for Children Obesity CYBETHERAPY 2008 SAN DIEGO Rosa Baños, Cristina Botella Alvaro Frías, Mariano Alcañiz Ausias Cebolla, Ernestina Etchemendy Soledad Quero, Sabrina Andreu

Research teamCLINICAL TECHNICAL FROM 1996

Universidad Politécnica de Valencia Prof. Mariano Alcañiz Dr. José Antonio Lozano Irene Zaragoza Jaime Guixeres Dr Beatrriz Rey Universidad de Valencia Prof. Rosa Baños Prof. Conxa Perpiñá Álvaro Frías Universidad Jaume I Prof. Cristina Botella Prof. Azucena García-Palacios Prof. Soledad Quero Sabrina Andreu Berenice Serrano Diana Castilla Ernestina Etchemendy Dr Ausias Cebolla TEAM COMPOSITION

VIRTUAL REALITY, AUGMENTED REALITY Treatment of anxiety disorders Treatment of eating disorders

Animal phobiaFear of public speaking TELEPSYCHOLOGY Self-administered programs

TREATMENT OF OBESITY ETIOBE PROJECT: TREATMENT OF OBESITY IN CHILDREN SUPPORTED BY NEW TECHNOLOGIES (VIRTUAL REALITY, TELEPSYCHOLOGY). Instituto de Salud Carlos III: CIBER Obesidad y Nutrición

Treatment of Obesity CBT: change in behavior, cognitive, and emotional patterns that maintain obesity. CBT + medical treatment: efficacy in reducing body weight. Unfortunately, results are not so good with respect to maintaining treatment outcomes.

The problem of maintenance After a CBT program patients gain around 30-35% during the first year. 100% after 5 years. Main problem in outcome maintenance is motivational component. Motivation and self-control good predictors of treatment efficacy. Obesity is a chronic medical condition requiring a continuous and suitable supervision.

The treatment of Obesity To increase the efficacy of obesity treatment: To design techniques and strategies that help patients to monitor eating habits and energy consumption. Personalize the intervention adding supporting strategies to help the patient persevere and defend him/herself from negative stimuli (advertisement, fast food, etc.). New technologies could help in this task: tele-health and e- health. The use of new technologies means a change in the ways we can provide health care.

What is E-TIOBE? e-therapy system that uses innovative strategies to enhance motivation and treatment adherence, personalizing the treatment considering the patient’s physical, mental, and contextual state. Offer personalized supervision, support and help to the patient 24 hours a day, 7 days a week and in real time. Which is E-TIOBE’s aim? E-TIOBE

Goals of E-TIOBE –Increase motivation –Enhance treatment adherence –Enhance self-control –Weight loss maintenance –Relapse prevention promoting healthy habits –Including everybody involved in the problem

e-health systems Process that allows communication of users who are in different locations (patients and clinicians) Three types of services: prevention, personalized treatment (including assessment and follow-up), and providing information about the problem (feedback). Four technology concepts: Ambient intelligence, pervasive computing, ubiquitous computing, and virtual therapy. Prevention Personalized treatment Feedback

Ambient Intelligence Electronic environments sensitive and responsive to people’s needs. Network and intelligent sensors: physiological, psychological, and contextual information from the user. Several sensorization technologies to monitor physical activity: i.e. GPS

Using computers to change attitudes and behaviors. Generate contents with the aim of change and/or reinforce the user’s behaviors. Pervasive Computing

Ubiquitous Computing The user/patient can have access to the system from everywhere and whenever he needs to. Mobile services and ubiquitous platforms that give the patient support and orientation regarding the treatment. The system can integrate inmediately the data generated by the different devices.

Virtual Therapy Virtual reality, augmented reality, virtual agents, and natural interfaces.

Applications of E-TIOBE 1.Clinician supporting application. The therapist can design a personalized assessment, treatment and follow- up, according to the specific characteristics of each patient. 2.Home supporting application. The system presents the patient contents and strategies that help him/her in the therapy process. It also allows the communication between the patient, the family, and the therapist and make possible the recording and processing of data throughout the whole process. 3.Mobile supporting application. It makes possible communication in real time and in different contexts. Help of the virtual agent.

e-TI – scenarios

e-TI – Clinician supporting application 4 modules: Data input Treatment Personalized treatment Treatment Protocol Patient Manual Family Manual Alarms Editor

e-TI – Home supporting application Treatment View Virtual agent (personalized) 2D/3D games Augmented reality games Biometric monitoring

e-TI – Mobile supporting application Self-monitoring Virtual agent Alarm view Motivation/reinforcement messages

e-TI – Monitorization Physical health Physiological variables Monitoring What is he doing?, who is s/he with? Where is s/he? Geolocalization in and out Actions at home Physical activity How motivated is he? Treatment adherence Motivational level Positive psychology

First element developed by TIN (Therapy Intelligent Network), an open sensorization platform to develop intelligent environments oriented to the patient. TIPS conects the patient with the e-therapy environments to get feedback of the patient’s states. TIPS can get: Context information: Geolocalization, physical activity. Physiological information: heart rate, skin conductance, breathing rate. TIPS can communicate with: Mobile devices: PDA, cell phone. Computer TIS: (Therapy Intelligent Sensor) in the environment TIPS Module

TIPS Tamaño 7 x 5cm

Intelligent module: Digitalizes and processes the sensor signals. Implement the communication protocol and manages the communications. Intelligent module: Digitalizes and processes the sensor signals. Implement the communication protocol and manages the communications. Tamaño 7 x 5cm Módulo TIPS

Communications module : transmits the signals via Bluetooth or Zigbee Tamaño 7 x 5cm Módulo TIPS

Physiological module: processes and treats analogic signals from the sensors. Tamaño 7 x 5cm Módulo TIPS

Physical activity module: Detection of postures, physical activity and calories consumption. Physical activity module: Detection of postures, physical activity and calories consumption. Tamaño 7 x 5cm Módulo TIPS

Geolocalization module : outdoor localization with GPS Tamaño 7 x 5cm Módulo TIPS

Geolocalization Module xml messages are sent to the server Data can be viewed in real time via Internet. Therapists can set action points. PDA receives the signal and interacts with the patient. xml messages are sent to the server Data can be viewed in real time via Internet. Therapists can set action points. PDA receives the signal and interacts with the patient.

Physical Activity Module It’s able to detect: - Position - Level of physical activity - Frequency of steps -- Calories used It’s able to detect: - Position - Level of physical activity - Frequency of steps -- Calories used

Physiological Module It captures physiological signals from the patient to detect physical and emotional states. Heart rate Skin conductance. Breathing rate Integration with intelligent tee-shirt It captures physiological signals from the patient to detect physical and emotional states. Heart rate Skin conductance. Breathing rate Integration with intelligent tee-shirt

E-TIOBE: Hypothesis CBT + medical treatment + new technologies systems (E- TIOBE): –Higher treatment motivation. –Higher treatment adherencia. –Maintenance of weight loss at mid- and long-term.

To conduct a clinical trial to test the efficacy of ETIOBE To improve the efficacy and efficiency of current treatments for obesity. Thanks very much for your attention THE FUTURE