ST3 - Immersive Personalized Patient Engagement; Computer Based Medical Intervention Systems

Panagiotis Antoniou's picture
Panagiotis Antoniou
Aristotle University of Thessaloniki (GR)
Daphne Economou's picture
Daphne Economou
University of Westminster (UK)
Conference room
Session time
Saturday, June 24, 2017 - 09:00 to 11:00
Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes
Abstract: 
Breast cancer is the most common cancer in women both in developed and developing countries. More than half of all cancer mobile application concern breast cancer. Gamification is widely used in mobile software applications created for health-related services. Current prevalence of gamification in breast cancer apps is unknown and detection must be manually performed. The purpose of this study is to describe and produce a tool allowing automatic detection of apps which contain gamification elements and thus empowering researchers to study gamification using large data samples.
Guido Giunti's picture
Guido Giunti
Salumedia Tecnologias (SP)
Diego Giunta's picture
Diego Giunta
Santiago Hors-Fraile's picture
Santiago Hors-Fraile
Minna Isomursu's picture
Minna Isomursu
Diana Karoseviciute's picture
Diana Karoseviciute
Connected Health in Multiple Sclerosis: a mobile applications review
Abstract: 
Multiple Sclerosis (MS) is an unpredictable, often disabling disease that can adversely affect any body function; this often requires persons with MS to be active patients who are able to self-manage. There are currently thousands of health applications available but it is unknown how many concern MS. We conducted a systematic review of all MS apps present in the most popular app stores (iTunes and Google Play store) on June 2016 to identify all relevant MS apps. After discarding non-MS related apps and duplicates, only a total of 25 MS apps were identified.
Guido Giunti's picture
Guido Giunti
Salumedia Tecnologias (SP)
Estefania Guisado-Fernandez's picture
Estefania Guisado-Fernandez
Brian Caulfield's picture
Brian Caulfield
A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities
Abstract: 
In clinical practice, a misdiagnosis can lead to incorrect treatment, delayed treatment, or in some cases, no treatment at all; consequently, the condition of a patient may worsen to varying degrees, in some cases proving fatal. The accurate 3D reconstruction of organs, which is a pioneering tool of medical image computing (MIC) technology, plays a key role in computer aided diagnosis (CADx), whereby enabling medical professionals to perform enhanced analysis on a region of interest.
Barbara Villarini's picture
Barbara Villarini
University of Westminster (UK)
Hykoush Asaturyan's picture
Hykoush Asaturyan
E. Louise Thomas's picture
E. Louise Thomas
Rhys Mould's picture
Rhys Mould
Jimmy D Bell's picture
Jimmy D Bell
Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity
Abstract: 
Obesity is one of the major health risk factors behind the rise of non-communicable conditions. Understanding the factors influencing obesity is very complex since there are many variables that can affect the health behaviors leading to it. Nowadays, multiple data sources can be used to study health behaviors, such as wearable sensors for physical activity and sleep, social media, mobile and health data. In this paper we describe our experiences with the design of a dashboard for the visualization of actigraphy and biometric data from a childhood obesity camp in Qatar.
Michael Aupetit's picture
Michael Aupetit
Luis Fernandez-Luque's picture
Luis Fernandez-Luque
Qatar Computing Research Institute (QA)
Meghna Singh's picture
Meghna Singh
Qatar Computing Research Institute (QA)
Jaideep Srivastava's picture
Jaideep Srivastava
The 360QS Toolkit for Sleep and Physical Activity Analysis based on Wearables
Abstract: 
Sleep and physical activity are human behaviors that play a major role in our health. Poor sleep or lack of physical activity have been found to increase health risks and reduce quality of life. The rapid adoption and evolution of pervasive computing systems, both in the health and wellness domain, are creating a new data-intensive context in which we can learn about the sleep and physical activity patterns of individuals. In this paper we provide an overview of the toolkit we have developed to conduct research on personal health data about sleep and physical activity.
Meghna Singh's picture
Meghna Singh
Qatar Computing Research Institute (QA)
Luis Fernandez-Luque's picture
Luis Fernandez-Luque
Qatar Computing Research Institute (QA)
Jaideep Srivastava's picture
Jaideep Srivastava
PhytoCloud: A Gamified Mobile Web Application to Modulate Diet and Physical Activity of Women with Breast Cancer
Abstract: 
Breast cancer incidence and mortality rates vary geographically reflecting factors including regional and cultural differences in diet and lifestyle. There are numerous successful commercial mobile apps to help dieters control their diet and manage weight. However, such products are not suitable for people with special medical conditions that may require targeted dietary as well as motivational support.
Daphne Economou's picture
Daphne Economou
University of Westminster (UK)
Miriam Dwek's picture
Miriam Dwek
Claire Roberston's picture
Claire Roberston
Elliott Bradley's picture
Elliott Bradley
Thanos Kounenis's picture
Thanos Kounenis
Mohammad Ramezanian's picture
Mohammad Ramezanian
Nathan Bell's picture
Nathan Bell
Tayebeh Azimi's picture
Tayebeh Azimi
Towards evidence based m-health application design in cancer patient healthy lifestyle interventions.
Abstract: 
Cancer is one of the most prevalent diseases in Europe and the world. Significant correlations between dietary habits and cancer incidence and mortality have been confirmed by the literature. Physical activity habits are also directly implicated in the incidence of cancer. Lifestyle behaviour change may be benefited by using mobile technology to deliver health behaviour interventions. M-Health offers a promising cost-efficient approach to deliver en-masse interventions.
Panagiotis Antoniou's picture
Panagiotis Antoniou
Aristotle University of Thessaloniki (GR)
Octavio Rivera-Romero's picture
Octavio Rivera-Romero
Maria Karagianni's picture
Maria Karagianni
Panagiotis Bamidis's picture
Panagiotis Bamidis
Aristotle University of Thessaloniki (GR)
Virtual scenarios for stealth assessment of the elderly; Perceptions and acceptance of technology-based health and wellness interventions.
Abstract: 
As adults get older, the risks are increasing on their health, such as chronic diseases, functional decline and geriatric syndromes which threaten their well-being. Technology has many features to support aging wellness enabling older people maintaining healthy and sociable as they grow. However, the needs of the elderly of the population are not always the same. Stealth assessment, coming from the educational domain, can assess such needs.
Panagiotis Antoniou's picture
Panagiotis Antoniou
Aristotle University of Thessaloniki (GR)
Vasiliki Zilidou's picture
Vasiliki Zilidou
Aristotle University of Thessaloniki (GR)
Anastasios Siountas's picture
Anastasios Siountas
Aristotle University of Thessaloniki (GR)
Panagiotis Bamidis's picture
Panagiotis Bamidis
Aristotle University of Thessaloniki (GR)