EAI Endorsed Transactions on Pervasive Health and Technology

Issue 2, 2015

Editor(s)-in-Chief: Thanos Vasilakos, Thaier Hayajneh and Muhammad Imran

Articles
Information

Detecting affective states in virtual rehabilitation
Appears in:
phat 15(2): e1

Authors:
Jesús Rivas, Felipe Orihuela-Espina, L. Sucar, Lorena Palafox, Jorge Hernández-Franco, Nadia Bianchi-Berthouze

Abstract:
Virtual rehabilitation supports motor training following stroke by means of tailored virtual environments. To optimize therapy outcome, virtual rehabilitation systems automatically adapt to the different patients’ changing needs. Adaptation decisions should ideally be guided by both the observable …Virtual rehabilitation supports motor training following stroke by means of tailored virtual environments. To optimize therapy outcome, virtual rehabilitation systems automatically adapt to the different patients’ changing needs. Adaptation decisions should ideally be guided by both the observable performance and the hidden mind state of the user. We hypothesize that some affective aspects can be inferred from observable metrics. Here we present preliminary results of a classification exercise to decide on 4 states; tiredness, tension, pain and satisfaction. Descriptors of 3D hand movement and finger pressure were collected from 2 post-stroke participants while they practice on a virtual rehabilitation platform. Linear Support Vector Machine models were learnt to unfold a predictive relation between observation and the affective states considered. Initial results are promising (ROC Area under the curve (mean+/-std): 0.713 +/- 0.137). Confirmation of these opens the door to incorporate surrogates of mind state into the algorithm deciding on therapy adaptation.
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Improving classification of posture based attributed attention assessed by ranked crowd-raters
Appears in:
phat 15(2): e2

Authors:
Patrick Heyer, Jesus Rivas, Luis Sucar, Felipe Orihuela-Espina

Abstract:
Attribution of attention from observable body posture is plausible, providing additional information for affective computing applications. We previously reported a promissory $69.72\pm10.50$ ($\mu\pm \sigma$) of F-measure to use posture as a proxy for attributed attentional state with implications …Attribution of attention from observable body posture is plausible, providing additional information for affective computing applications. We previously reported a promissory $69.72\pm10.50$ ($\mu\pm \sigma$) of F-measure to use posture as a proxy for attributed attentional state with implications for affective computing applications. Here, we aim at improving that classification rate by reweighting votes of raters giving higher confidence to those raters that are representative of the raters population. An increase to $75.35\pm11.66$ in F-measure was achieved. The improvement in predictive power by the classifier is welcomed and its impact is still being assessed.
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Haptic Feedback in Motor Hand Virtual Therapy Increases Precision and Generates Less Mental Workload
Appears in:
phat 15(2): e3

Authors:
Cristina Ramírez-Fernández, Alberto L. Morán, Eloísa García-Canseco

Abstract:
In this work we show that haptic feedback in upper limb motor therapy improves performance and generates a lower mental workload. To demonstrate this, two groups of participants (healthy adults and elders with hand motor problems) used a low-cost haptic device (Novint Falcon) and a non-robotic devi…In this work we show that haptic feedback in upper limb motor therapy improves performance and generates a lower mental workload. To demonstrate this, two groups of participants (healthy adults and elders with hand motor problems) used a low-cost haptic device (Novint Falcon) and a non-robotic device (Leap Motion Controller). Participants conducted the same
rehabilitation task by using a non-immersive virtual environment.
Results show significant differences for all participants regarding precision on the use of the haptic feedback device. Additionally, participants in the older adult group demonstrated a lower mental workload while using the haptic device (Novint Falcon).
Finally, qualitative results show that participants preferred to conduct their therapy exercises by using the haptic device, as they found it more useful, easier to use and easier to learn.
more »
Requirements Identification Towards a Design of Adaptive ICTs for Supporting Bipolar Disorder Treatment in Different Healthcare Contexts
Appears in:
phat 15(2): e4

Authors:
Emanuele Torri, Oscar Mayora, Jesus Cobo, Diego Palao

Abstract:
This paper presents patient and caregiver perspective on ICTs supporting bipolar disorder management in multinational healthcare provisioning contexts. The envisioned mHealth solutions should adopt general requirements that could be instantiated into different clinical settings. Engagement of user…This paper presents patient and caregiver perspective on ICTs supporting bipolar disorder management in multinational healthcare provisioning contexts. The envisioned mHealth solutions should adopt general requirements that could be instantiated into different clinical settings. Engagement of users in designing new technologies for mental health is crucial to ensure empowerment and patient-centeredness of services.
We performed focus groups to understand user needs, attitudes and experiences towards the supportive ICTs in two target regions where the expected solutions will operate. The survey offered valuable inputs for the construction of the clinical requirements used to produce a trans-national call for tender on mobile health solutions aimed at supporting bipolar disorders treatment among public purchasers in different European countries. The study was part of the NYMHPA-MD (Next Generation Mobile Platform for Health in Mental Disorders) project, co-funded by the European Commission.

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Mining Minds: an innovative framework for personalized health and wellness support
Appears in:
phat 15(2): e5

Authors:
Oresti Banos, Muhammad Amin, Wahajat Khan, Taqdir Ali, Muhammad Afzal, Byeong Kang, Sungyoung Lee

Abstract:
The world is witnessing a spectacular shift in the delivery of health and wellness care. The key ingredient of this transformation consists in the use of revolutionary digital technologies to empower people in their self-management as well as to enhance traditional care procedures. While substantia…The world is witnessing a spectacular shift in the delivery of health and wellness care. The key ingredient of this transformation consists in the use of revolutionary digital technologies to empower people in their self-management as well as to enhance traditional care procedures. While substantial domain-specific contributions have been provided to that end in the recent years, there is a clear lack of platforms that may orchestrate, and intelligently leverage, all the data, information and knowledge generated through these technologies. This work presents Mining Minds, an innovative framework that builds on the core ideas of the digital health and wellness paradigms to enable the provision of personalized healthcare and wellness support. Mining Minds embraces some of the currently most prominent digital technologies, ranging from Big Data and Cloud Computing to Wearables and Internet of Things, and state-of-the-art concepts and methods, such as Context-Awareness, Knowledge Bases or Analytics, among others. This paper aims at thoroughly describing the efficient and rational combination and interoperation of these modern technologies and methods through Mining Minds, while meeting the essential requirements posed by a framework for personalized health and wellness support.
more »

Scope

It is internationally recognized that future healthcare systems will be supported by pervasive healthcare systems in order to target the upcoming societal health challenges. Pervasive Health and Technology (PHT) Journal is a cross-disciplinary journal focusing on issues related to development, delivery and management of pervasive healthcare and the impact of technology within future healthcare systems. The journal aims to become an information source and to create a community of shared interests between health professionals, technologists, patients and other professionals related to pervasive healthcare.

The journal will present and discuss issues pertaining to personal electronic health assistants, health crowdsourcing, data mining and knowledge management, needs of patients, disease prevention and awareness, electronic and mobile health platforms including design, implementation and evaluation of supporting hardware and software in ambulant and hospital workflows, needs of physicians, nurses and other healthcare staff.

Topics

Knowledge Representation and Reasoning

Physiological models for interpreting medical sensor data
Sensing/Actuating Technologies and Pervasive Computing
Medicine, Nursing, and Allied Health Professions
Human-Computer Interaction and Computer Supported Cooperative Work
Hardware …

Knowledge Representation and Reasoning

Physiological models for interpreting medical sensor data
Sensing/Actuating Technologies and Pervasive Computing
Medicine, Nursing, and Allied Health Professions
Human-Computer Interaction and Computer Supported Cooperative Work
Hardware and Software Infrastructures
Activity recognition and fall detection
User modelling and personalization
Modelling of Pervasive Healthcare environments
Sensor-based decision support systems
Design and evaluation of patient and ambient-related sensors
Wearable and implantable sensor integration
Data fusion in pervasive healthcare environments
Data mining of medical patient records
Software architectures
Electronic Health Records

Understanding Users

Identifying and addressing stakeholder needs
Usability and acceptability
Barriers and enablers to adoption
Social implications of pervasive health technology, and social inclusion
Coverage and delivery of pervasive healthcare services
Patient and caregiver empowerment
Diversity: population and condition-specific requirements
Inclusive research and design: engaging underrepresented populations
Digital interventions and health behavior change

Applications

Autonomous systems to support independent living
Clinical applications, validation and evaluation studies
Telemedicine and mHealth solutions
Chronic disease and health risk management applications
Health/Wellbeing promotion and disease prevention
Home based health and wellness measurement and monitoring
Continuous vs event-driven monitoring of patients
Smart homes and hospitals
Using mobile devices in the storage, update, and transmission of patient data
Wellbeing and lifestyle support
Systems to support individuals with auditory, cognitive, or vision impairments
Systems to support caregivers

Pervasive Healthcare Management

Challenges surrounding data quality
Standards and interoperability in pervasive healthcare
Business cases and cost issues
Security and privacy issues
Training of healthcare professional for pervasive healthcare
Legal and regulatory issues
Staffing and resource management

Scopus (CiteScore 2020: 0.7)
Ei Compendex
DOAJ
DBLP
CrossRef
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Special Issues

Editors-in-Chief
Gonçalo Marques, Polytechnic of Coimbra, Portugal
Nenad Filipovic, University of Kragujevac, Serbia
Area Editors
Alberto Antonietti (École Polytechnique Fédérale de Lausanne, Switzerland)
Alejandro Dominguez Rodriguez (Autonomous University of Baja California)
Alessan…

Editors-in-Chief
Gonçalo Marques, Polytechnic of Coimbra, Portugal
Nenad Filipovic, University of Kragujevac, Serbia
Area Editors
Alberto Antonietti (École Polytechnique Fédérale de Lausanne, Switzerland)
Alejandro Dominguez Rodriguez (Autonomous University of Baja California)
Alessandro Ruggiero (University of Salerno, Italy)
Alexandros Tzallas (Technological Educational Institute of Epirus)
Andjela Blagojevic (University of Kragujevac, Serbia)
Anind Dey (University of Washington)
Ansar-Ul-Haque Yasar (Hasselt University, Belgium)
Antonella Carbonaro (Universita' di Bologna, Italy)
Arijit Ukil (Tata Consultancy Services)
Asimina Kiourti (The Ohio State University)
AtaUllah Ghafoor (National University of Modern Languages, Islamabad, Pakistan.)
Bert Arnrich (Boğaziçi University, Istanbul, Turkey)
Boban Stojanovic (University of Kragujevac, Serbia)
Branko Arsic (University of Kragujevac, Serbia)
Constantinos Pattichis (University of Cyprus, Cyprus)
Daojing He (South China University of Technology, China)
Djordje Jakovljevic (Coventry University, UK)
Eduard Babulak (National Science Foundation, USA)
Emilija Stojmenova (Duh University of Ljubljana)
Emilio Serrano (Technical University of Madrid, Spain)
Frank Wallhoff (Jade University of Applied Sciences)
Giorgos Giannakakis (Foundation for Research and Technology Hellas, Greece)
Honggang Wang (UMASS. USA)
Kashif Saleem (King Saud University)
Laszlo Bokor (BME, Hungary)
Lazar Dasic (University of Kragujevac, Serbia)
Marcela Deyanira Rodriguez Urrea (Autonomous University of Baja California)
Marko Robnik-Sikonja (University of Ljubljana, Slovenia)
Mauro Femminella (University of Perugia, Italy)
Melina Frenken (Jade University of Applied Sciences)
Michalis Zervakis (Technical University of Crete, Greece)
Milos Ivanovic (University of Kragujevac, Serbia)
Milos Kotlar (University of Belgrade, Serbia)
Mohammad Upal Mahfuz (University of Wisconsin-Green Bay)
Mojtaba Taherisadr (University of Michigan)
Mosabber Uddin Ahmed (University of Dhaka)
Nadeem Javaid (COMSATS Institute of Information Technology, Islamabad, Pakistan)
Netzahualcoyotl Hernandez-Cruz (Oxford University, UK)
Nikolaos Bourbakis, Wright State University in Ohio, United States
Pan Zheng, University of Canterbury, New Zealand
Pietro Cipresso (Istituto Auxologico, Milan, Italy)
Razan Hamed (New York Institute of Technology, NY, USA)
Riccardo Martoglia (University of Modena and Reggio Emilia, Italy)
Saikishor Jangiti (SASTRA Deemed University, India)
Silvia Serino (Catholic University of Milan, Italy)
Stefan Rahr Wagner (Aarhus University)
Tanvir Zia (School of Computing & Mathematics, Charles Sturt University, Australia)
Tessa Dekkers (Delft University, The Netherlands)
Tijana Sustersic (Faculty of Engineering, University of Kragujevac)
Veljko Milutinovic (University of Belgrade, Serbia)
Venet Osmani (CREATE-NET, Trento, Italy)
Wilko Heuten (OFFIS, Germany)
Zhihan Lv (Qingdao University, China)
Zoran Bosnic (University of Ljubljana, Slovenia)
Ognjen Pavic (Institute for Information Technology, University of Kragujevac, Serbia)
Analúcia Schiaffino Morales (Federal University of Santa Catarina, Brazil)

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/phat/index

Publisher: EAI
ISSN: 2411-7145
Volume: 1

Published: 2015-10-12

Detecting affective states in virtual rehabilitation

Improving classification of posture based attributed attention assessed by ranked crowd-raters

Haptic Feedback in Motor Hand Virtual Therapy Increases Precision and Generates Less Mental Workload

Requirements Identification Towards a Design of Adaptive ICTs for Supporting Bipolar Disorder Treatment in Different Healthcare Contexts

Mining Minds: an innovative framework for personalized health and wellness support

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