EAI Endorsed Transactions on Ambient Systems

Issue 16, 2017

Editor(s)-in-Chief: Gongliang Liu, Silvia Gabrielli and Tiziana Catarci

Articles
Information

Towards an Intelligent Monitoring System for Patients with Obstrusive Sleep Apnea
Appears in:
amsys 17(16): e1

Authors:
Xavier Rafael-Palou, Eloisa Vargiu, Cecilia Turino, Alexander Steblin, Manuel Sánchez-de-la-Torre, Ferran Barbe

Abstract:
Due to the growing incidence of chronic diseases and aging populations, the pressure to control costs and the expectations of continuous improvements in the quality of service have increased the need to understand how healthcare is provided and to determine whether cost-effective improvements to …Due to the growing incidence of chronic diseases and aging populations, the pressure to control costs and the
expectations of continuous improvements in the quality of service have increased the need to understand how
healthcare is provided and to determine whether cost-effective improvements to care practices can be made.
In the case of people suffering Obstructive Sleep Apnea, patients using self-administer nasal Continuous
Positive Airway Pressure (CPAP) may receive information on the treatment only once they go to a visit with the lung specialist. In this paper, we propose an IoT-based Intelligent Monitoring System that relies on machine learning to achieve a threefold goal: (1) it is aimed at early detecting compliance in order to predict CPAP usage; (2) it monitors the actual adherence degree to the treatment to keep informed both the patient and the lung specialists; and (3) it sends recommendations to the patient to empower her/him and to better follow up.
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A telemedicine support for improving medical emergency management
Appears in:
amsys 17(16): e2

Authors:
Massimo Canonico, Stefania Montani, Manuel Striani

Abstract:
In this paper, we introduce a telemedicine architecture for supporting emergency patient stabilization and patient transportation to a fully equipped health care center. In particular, we focus on the description of a set of mobile apps, designed for supporting data recording and transmission dur…In this paper, we introduce a telemedicine architecture for supporting emergency patient stabilization and
patient transportation to a fully equipped health care center. In particular, we focus on the description of a
set of mobile apps, designed for supporting data recording and transmission during patient transportation by ambulance. Some of the apps are interfaced to the monitoring devices in the ambulance, and automatically send all the recorded data to a server at the destination center. One additional app enables the travelling personnel to input and transmit further significant patient data, or comments. At the destination center, the specialist physician is allowed to inspect the data as soon as they are received, possibly providing immediate advice. The exploitation of the apps also allows to maintain the transportation data over time, for medico-legal purposes, or to perform a-posteriori analyses. Some first evaluation results are discussed in the paper.
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Medication Adherence using Non-intrusive Wearable Sensors
Appears in:
amsys 17(16): e3

Authors:
T. H. Lim, A. H. Abdullah

Abstract:
Activity recognition approaches have been applied in home ambient systems to monitor the status and well- being of occupant especially for home care systems. With the advancement of embedded wireless sensing devices, various applications have been proposed to monitor user´s activities and maintai…Activity recognition approaches have been applied in home ambient systems to monitor the status and well-
being of occupant especially for home care systems. With the advancement of embedded wireless sensing
devices, various applications have been proposed to monitor user´s activities and maintain a healthy
lifestyle. In this paper, we propose and evaluate a Smart Medication Alert and Treatment Electronic Systems (SmartMATES) using a non-intrusive wearable activity recognition sensing system to monitor and alert an user for missing medication prescription. Two sensors are used to collect data from the accelerometer and radio transceiver. Based on the data collected, SmartMATES processes the data and generate a model for the various actions including taking medication. We have evaluated the SmartMATES on 9 participants. The results show that the SmartMATES can identify and prevent missing dosage in a less intrusive way than existing mobile application and traditional approaches.
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Lorentzian Norm based Super-resolution Reconstruction of Brain MRI Image
Appears in:
amsys 17(16): e4

Authors:
Dongxing Bao, Xiaoming Li, Jin Li

Abstract:
Nowadays, SRR (super resolution image reconstruction) technology is a very effective method in improving spatial resolution of images and obtaining high-definition images. The SRR approach is an image late processing method that does not require any improvement in the hardware of the imaging system…Nowadays, SRR (super resolution image reconstruction) technology is a very effective method in improving spatial resolution of images and obtaining high-definition images. The SRR approach is an image late processing method that does not require any improvement in the hardware of the imaging system. In the SRR reconstruction model, it is the key point of the research to choose a proper cost function to achieve good reconstruction effect. In this paper, based on a lot of research, Lorenzian norm is employed as the error term, Tikhonov regularization is employed as the regularization term in the reconstruction model, and iteration method is employed in the process of SRR. In this way, the outliers and image edge preserving problems in SRR reconstruction process can be effectively solved and a good reconstruction effect can be achieved. A low resolution MRI brain image sequence with motion blur and several noises are used to test the SRR reconstruction algorithm in this paper and the reconstruction results of SRR reconstruction algorithm based on L2 norm are also be used for comparison and analysis. Results from experiments show that the SRR algorithm in this paper has better practicability and effectiveness.
more »
Feasibility Study of Smartphone-Based Tear Volume Measurement System
Appears in:
amsys 17(16): e5

Authors:
Yoshiro Okazaki, Tatsuki Takenaga, Taku Miyake, Mamoru Iwabuchi, Toshiyuki Okubo, Norihiko Yokoi

Abstract:
Evaluation of tear volume is important for diagnosing dry eye disease. At the clinical site, dedicated devices such as slit lamp microscopy or Schirmer’s test strip have been used to quantify tear volume by ophthalmologist. However, these devices have access only in medical office and therefore hav…Evaluation of tear volume is important for diagnosing dry eye disease. At the clinical site, dedicated devices such as slit lamp microscopy or Schirmer’s test strip have been used to quantify tear volume by ophthalmologist. However, these devices have access only in medical office and therefore have limited availability for the public. Tear volume changes with
environmental, physical or psychological situation. For that reason, measurement of tear volume regardless of location, time or circumstances can be beneficial. In this study, a tear volume measurement system based on the principle of meniscometry was developed and implemented on the smartphone, and its feasibility was evaluated. It was shown that tear meniscus radii of 22 human subjects were calculated to be mean 0.31 (SD 0.06) mm which was within the range of the previous study. The results suggested the feasibility of tear volume measurement system using the smartphone based on the principle of meniscometry as an IoT sensor.
more »

Scope

The design of Ambient Systems is a cross disciplinary endeavour aimed at supporting and augmenting people’s activities in everyday life, by embedding computational intelligence in the distributed network of devices available in their living environment.

While technology needs to become more and…

While technology needs to become more and more invisible to provide smart support, novel forms of user experience and multimodal interaction need to be devised to enable fluid, intuitive and appealing transitions between the physical and digital world.

This journal seeks contributions from leading experts and visionary thinkers in industry and research, about the principles, interaction paradigms, methods and applications that best can drive the future design of Ambient Systems and their human-centred, situated interfaces.

Methods and tools for the development of Pervasive Environmental infrastructure
Design of highly immersive contents for Ambient Media
Trustful mechanisms for context awareness, social sensing and inference
AIterative design and evaluation studies of multimodal interfaces
Adaptive and …

Methods and tools for the development of Pervasive Environmental infrastructure
Design of highly immersive contents for Ambient Media
Trustful mechanisms for context awareness, social sensing and inference
AIterative design and evaluation studies of multimodal interfaces
Adaptive and personalized solutions for ambient intelligence
Embodied agents and affective interfaces
Personal, social, safety and ethical issues raised by Ambient system applications, such as Domotics, Ambient Assisted Living, Pervasive Edutainment Environments

DOAJ
DBLP
CrossRef
EBSCO Discovery Service
[OCLC Discovery Services](https://www.worldcat.o…

Andrea Marin (Università Ca' Foscari, Venezia) Ambient Pervasive Sensing and Applications
Aniruddha Bhattacharjya (Tsinghua National Laboratory for Information Science and Technology, Department of Electronics Engineering, Tsinghua University, Beijing, China)
Armir Bujari (Università …

Andrea Marin (Università Ca' Foscari, Venezia) Ambient Pervasive Sensing and Applications
Aniruddha Bhattacharjya (Tsinghua National Laboratory for Information Science and Technology, Department of Electronics Engineering, Tsinghua University, Beijing, China)
Armir Bujari (Università degli Studi di Padova)
Artur Lugmayr (Curtin University)
Binh P. Nguyen (Senior Lecturer, School of Mathematics and Statistics, Victoria University of Wellington, New Zealan)
Huynh Xuan Hiep (Can Tho University, Vietnam)
Issam W. Damaj (College of Arts and Sciences, American University of Kuwait)
Chien-Chih Yu (National ChengChi University)
Vijender Kumar Solanki (CMR Institute of Technology, Autonomous, Hyderabad, TS, India)
Giacomo Cabri (Università di Modena e Reggio Emilia)
Gabriellie Peko (The University of Auckland)
Huynh Xuan Hiep (Can Tho University, Vietnam)
Juan Carlos Augusto (Middlesex University at London, UK)
Khoa X. Le (Ulster University, United Kingdom)
Loc Nguyen (Director of International Engineering and Technology Institute)
Krishna Asawa (Associate Professor)
Manik Sharma (DAV University, India)
Muhammad Athar Javed Sethi (University of Engineering and Technology Peshawar)
Nguyen Ha Huy Cuong (Quang Nam University)
Oscar Mayora (CREATE-NET, Trento, Italy)
Pedro Santos (Fraunhofer IGD, Germany)
Pietro Cipresso (Applied Technology for Neuro-Psychology Lab - IRCCS Istituto Auxologico Italiano)
Prashant Vats(FIMT, GGSIPU, Delhi, India)
Rohin Mittal (State University of New York at Buffalo, NY, United States)
Silvia Mirri (Università degli Studi di Bologna)
Shahed Mohammadi (Ragheb Isfahani Higher Education Institute, Iran)

Journal Blurb

This journal has been renamed to:

EAI Endorsed Transactions on Bioengineering and Bioinformatics

This journal has been renamed to:

EAI Endorsed Transactions on Bioengineering and Bioinformatics

Publisher: EAI
ISSN: 2032-927X
Volume: 4

Published: 2017-12-19

Towards an Intelligent Monitoring System for Patients with Obstrusive Sleep Apnea

A telemedicine support for improving medical emergency management

Medication Adherence using Non-intrusive Wearable Sensors

Lorentzian Norm based Super-resolution Reconstruction of Brain MRI Image

Feasibility Study of Smartphone-Based Tear Volume Measurement System

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