Ambient Assisted Living and Home Care

The goal of this paper is to present a distributed tool for the medical community. This tool is called VACODIS (VAscular COllaborative teleDIagnosiS) enables to identification and quantification of the potential cardiovascular complications of a patient in a semi-automatic way. The first step consists of producing an automatic detection of cardiovascular abnormalities from Echo-Doppler images. The second step shares in a collaborative and adaptive way images and results from the first step. This sharing eases a collaborative diagnosis. Thus, this method enables multiple distant hospital workers (nurses, practitioners . . . ) to contribute to a collaborative diagnosis in the cardiovascular domain.

[1]  Daniel Mestre,et al.  Does Virtual Reality Enhance Exercise Performance, Enjoyment, and Dissociation? An Exploratory Study on a Stationary Bike Apparatus , 2011, PRESENCE: Teleoperators and Virtual Environments.

[2]  I. Janssen Physical activity guidelines for children and youth. , 2007, Canadian journal of public health = Revue canadienne de sante publique.

[3]  Shuangquan Wang,et al.  Human activity recognition with user-free accelerometers in the sensor networks , 2005, 2005 International Conference on Neural Networks and Brain.

[4]  Dorothy Strickland,et al.  A Virtual Reality Application with Autistic Children , 1996, Presence: Teleoperators & Virtual Environments.

[5]  Laura J. Meyer The impact of virtual reality -enhanced exercise equipment on adherence to daily step goals , 2008 .

[6]  Daniel Olgu ´ õn,et al.  Human Activity Recognition: Accuracy across Common Locations for Wearable Sensors , 2006 .

[7]  Paul Lukowicz,et al.  Recognizing and Discovering Human Actions from On-Body Sensor Data , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[8]  Yannis Manolopoulos,et al.  Feature-based classification of time-series data , 2001 .

[9]  Stéphane Bouchard Could virtual reality be effective in treating children with phobias? , 2011, Expert review of neurotherapeutics.

[10]  M Hillsdon,et al.  Effect of exercise referral schemes in primary care on physical activity and improving health outcomes: systematic review and meta-analysis , 2011, BMJ : British Medical Journal.

[11]  Billy L. Smith,et al.  Sex Differences in Exercise Motivation and Body-Image Satisfaction among College Students , 1998, Perceptual and motor skills.

[12]  Fernando Bobillo,et al.  DeLorean: A reasoner for fuzzy OWL 2 , 2012, Expert Syst. Appl..

[13]  Mark Bolas,et al.  Virtual Reality and Interactive Digital Game Technology: New Tools to Address Obesity and Diabetes , 2011, Journal of diabetes science and technology.

[14]  Anthony Rowe,et al.  Location and Activity Recognition Using eWatch: A Wearable Sensor Platform , 2006, Ambient Intelligence in Everyday.

[15]  I. Janssen,et al.  Systematic review of the health benefits of physical activity and fitness in school-aged children and youth , 2010, The international journal of behavioral nutrition and physical activity.

[16]  Michael L. Littman,et al.  Activity Recognition from Accelerometer Data , 2005, AAAI.