EAI Endorsed Transactions on Pervasive Health and Technology

Issue 12, 2017

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

Articles
Information

Designing Wearable Sensing Platforms for Healthcare in a Residential Environment
Appears in:
phat 17(12): e1

Authors:
Xenofon Fafoutis, Antonis Vafeas, Balazs Janko, R. Simon Sherratt, James Pope, Atis Elsts, Evangelos Mellios, Geoffrey Hilton, George Oikonomou, Robert Piechocki, Ian Craddock

Abstract:
Wearable technologies are valuable tools that can encourage people to monitor their own well-being and facilitate timely health interventions. In this paper, we present SPW-2; a low-profile versatile wearable sensor that employs two ultra low power accelerometers and an optional gyroscope. Designed…Wearable technologies are valuable tools that can encourage people to monitor their own well-being and facilitate timely health interventions. In this paper, we present SPW-2; a low-profile versatile wearable sensor that employs two ultra low power accelerometers and an optional gyroscope. Designed for minimum maintenance and a long-term operation outside the laboratory, SPW-2 is able to oer a battery lifetime of multiple months. Measurements on its wireless performance in a real residential environment with thick brick walls, demonstrate that SPW-2 can fully cover a room and - in most cases - the adjacent room, as well.
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On the Extraction of Anthropometric Parameters by Visual and Non-Visual Means
Appears in:
phat 17(12): e2

Authors:
O. Kainz, M. Michalko, F. Jakab

Abstract:
In this paper the system for collection and recording of anthropometric data is presented, along with the novel techniques for extraction of such data. The very system is built on selected open-source platform having developed various plugins as a part of the project. Means for the extraction follo…In this paper the system for collection and recording of anthropometric data is presented, along with the novel techniques for extraction of such data. The very system is built on selected open-source platform having developed various plugins as a part of the project. Means for the extraction follow two approaches: visual and non-visual. The first presumes the acquiring of data from static 2D image, the latter gets data through the direct measurement. Visual approach utilizes several principles following the image processing and related face detection algorithms. Moreover, known anthropometric relations are utilized to estimate other human body proportions. As for the non-visual approach, the hardware for direct measurement of human body parameters is designed, implemented and tested in the real environment. The output in the form of data of individual user may serve for statistical comparison with other users. Further, data of all users is to be used for correlation studies with several diseases and changes of overall health condition. In addition, the extracted data follow the concept of newly proposed Human body description language (HBDL) that may be used in various scientific fields and applications or various programming languages. Thus providing the standardized and structured form of data entry.
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Remote Assistance for Elderly to Find Hidden Objects in a Kitchen
Appears in:
phat 17(12): e3

Authors:
Zeeshan Asghar, Niina Keranen, Goshiro Yamamoto, Takafumi Taketomi, Christian Sandor, Hirokazu Kato, Petri Pulli

Abstract:
We present a design and preliminary evaluation of novel visual guidance of a remote assistive system for the elderly to find hidden objects in a kitchen. Our system has two essential functions; 1) to update a list and corresponding location information of objects concealed in a shelf with at all ti…We present a design and preliminary evaluation of novel visual guidance of a remote assistive system for the elderly to find hidden objects in a kitchen. Our system has two essential functions; 1) to update a list and corresponding location information of objects concealed in a shelf with at all times, and 2) to display images and texts about the objects on the corresponding area of the door of the shelf. We aim to realize assistive visual guidance to elderly for overcoming the deficits of initiation, planning, attention and memory deficits while performing kitchen-based activities of daily living such as finding items for cooking. In this study, we focus on hidden objects because there is an increased possibility for the elderly with cognitive impairments to forget where and what the object is due to the non-visibility. The paper shows the prototype system that uses RFID and projection technology. We conducted a user study with twelve elderly participants to evaluate the usability of the system using the System Usability Scale (SUS). Additionally, we also investigate the acceptability of the system by applying the Unified Theory of Acceptance and Use of Technology (UTAUT). The results demonstrate that the elderly participants found the system useful and easy to use. Finally, we conclude that a remote assistive system can be used to assist elderly to storing and retrieving objects from cabinet and shelves during a kitchen task but need more studies to make the system more efficient and effective.
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A Wearable Personal Assistant for Surgeons – Design, Evaluation, and Future Prospects
Appears in:
phat 17(12): e4

Authors:
Shahram Jalaliniya, Thomas Pederson, Diako Mardanbegi

Abstract:
In this paper, we present our body-and-mind-centric approach for the design of wearable personal assistants (WPAs) motivated by the fact that such devices are likely to play an increasing role in everyday life. We also report on the utility of such a device for orthopedic surgeons in hospitals. A p…In this paper, we present our body-and-mind-centric approach for the design of wearable personal assistants (WPAs) motivated by the fact that such devices are likely to play an increasing role in everyday life. We also report on the utility of such a device for orthopedic surgeons in hospitals. A prototype of the WPA was developed on Google Glass for supporting surgeons in three dierent scenarios: (1) touch-less interaction with medical images, (2) tele-presence during surgeries, and (3) mobile access to Electronic Patient Records (EPR) during ward rounds. We evaluated the system in a clinical simulation facility and found that while the WPA can be a viable solution for touch-less interaction and remote collaborations during surgeries, using the WPA in the ward rounds might interfere with social interaction between clinicians and patients. Finally, we present our ongoing exploration of gaze and gesture as alternative input modalities for WPAs inspired by the hospital study.
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ActiDote – A wireless sensor-based system for self-tracking activity levels among manual wheelchair users
Appears in:
phat 17(12): e5

Authors:
Hector F. Satizabal, Alexandre Grillon, Andres Upegui, Gregoire Millet, Giacomo Picasso, Andres Perez-Uribe

Abstract:
ActiDote –activity as an antidote– is a system for manual wheelchair users that takes advantage of wireless sensors to recognize activities of various intensity levels in order to allow self-tracking of the physical activity. In this paper, we describe both the hardware setup and the software pipel…ActiDote –activity as an antidote– is a system for manual wheelchair users that takes advantage of wireless sensors to recognize activities of various intensity levels in order to allow self-tracking of the physical activity. In this paper, we describe both the hardware setup and the software pipeline that enable our system to operate. Laboratory tests using multi-modal fusion and machine learning reveal promising results on classifying activity levels and assessing energy expenditure during wheelchair propulsion on ramps of dierent slopes and speeds. Our results indicate that it is possible to implement a system that uses the accelerometer of a smartphone as the only sensor in the wheelchair, i.e., by attaching it to the wheelchair frame. Additionally, the user might wear a smartwatch equipped with an accelerometer to enrich the system and enhance its performance.
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Twinkle Megane: Evaluation of Near-Eye LED Indicators on Glasses for Simple and Smart Navigation in Daily Life
Appears in:
phat 17(12): e6

Authors:
Aryan Firouzian, Yukitoshi Kashimoto, Goshiro Yamamoto, Niina Keranen, Zeeshan Asghar, Petri Pulli

Abstract:
We present an eyeglass-type wearable device that has light emitting diode (LED) indicators on the frame. The device produces lighting patterns of 14 RGB LEDs near user’s eyes as guiding information. Since installed LEDs are light and saving power, it is feasible to develop it for daily use. On the …We present an eyeglass-type wearable device that has light emitting diode (LED) indicators on the frame. The device produces lighting patterns of 14 RGB LEDs near user’s eyes as guiding information. Since installed LEDs are light and saving power, it is feasible to develop it for daily use. On the other hand, it cannot provide rich information such as text or images. In this study, we aim to realize a remote assistive system that provides assistive commands by visual cues from remote sites. Especially, we consider elderlies who are suering from mild cognitive impairment as users. They would be one of potential user groups since the device does not block their sights by text or images and it can be worn in daily life without the additional sense of restraint. This paper explains our conceptual assistive system structure, a prototype eyeglass-type device with near-eye LED indicators and usability experimentation in simple detecting and walking navigational tasks.
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, deli…

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, IT applications to 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)
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DOAJ
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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: 3

Published: 2017-09-07

Designing Wearable Sensing Platforms for Healthcare in a Residential Environment

On the Extraction of Anthropometric Parameters by Visual and Non-Visual Means

Remote Assistance for Elderly to Find Hidden Objects in a Kitchen

A Wearable Personal Assistant for Surgeons – Design, Evaluation, and Future Prospects

ActiDote – A wireless sensor-based system for self-tracking activity levels among manual wheelchair users

Twinkle Megane: Evaluation of Near-Eye LED Indicators on Glasses for Simple and Smart Navigation in Daily Life

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