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e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on

Date 9-12 Oct. 2013

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Displaying Results 1 - 25 of 159
  • Index [breaker page]

    Publication Year: 2013 , Page(s): 1 - 2
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  • Program

    Publication Year: 2013 , Page(s): 1 - 20
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  • Committees

    Publication Year: 2013 , Page(s): 1 - 2
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  • Joint source and Turbo Trellis Coded Hierarchical Modulation for context-aware medical image transmission

    Publication Year: 2013 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (818 KB) |  | HTML iconHTML  

    An iterative Joint Source and Turbo Trellis Coded Hierarchical Modulation is introduced for robust context-aware medical image transmission. Lossless source compression as well as Quality of Service (QoS) might be considered as the main constraints in the telemedicine field. Our proposed scheme advocated was design to exploit both the joint source-and-channel iterative decoding and the cooperative structure in order for tackling these requirements. The Source Node (SN) is constituted by a lossless Variable Length Code (VLC) and Turbo Trellis-Coded Modulation (TTCM) which relies on Hierarchical Modulation (HM). The Relay Node (RN) is used to support the transmission of the most important content of the image. Our proposed scheme exhibits a robustness performance over a realistic uncorrelated Rayleigh fading channel, while it outperforms the non-cooperative scheme by 3 dB at asymptotic (error-free) Peak Signal to Noise Ratio (PSNR) value. View full abstract»

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  • Medical image and video quality assessment in e-health applications and services

    Publication Year: 2013 , Page(s): 6 - 10
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (274 KB) |  | HTML iconHTML  

    Healthcare services are increasingly using medical images and video in their applications. Quality assessment can be performed via image quality evaluation metrics. However, due to the specific nature of the associated data, quality evaluation of medical images poses several issues. In this paper, we provide an insight into medical image quality evaluation, by discussing the issues faced and the current trends in the literature. Based on the analysis of the medical and technical literature, three broad categories of quality evaluation metrics are presented. The different methodologies are compared in different environments and services and recommendations for future research are provided. View full abstract»

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  • An intelligent system for renal segmentation

    Publication Year: 2013 , Page(s): 11 - 15
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (588 KB) |  | HTML iconHTML  

    Scintigraphic images are often characterized with much noise and a badly contrasted resolution which makes the perception of regions of interest very difficult. The renal quantification is how to define the regions of interests whose activities informs on the status of the renal function. In this context, the current study presents an intelligent system for the segmentation of renal regions in order to facilitate the process of quantification. The use of a multi-agent system based on the HOG3D descriptor combined with Fast Marching Method, has made our System of segmentation faster and more accurate. This automatic segmentation system is expected to assist physicians in both clinical diagnosis and educational training. Experiments and tests were developed on a database including 1800 images from 15 patients selected to obtain a variety of images. The results of the application of our method on several dynamic images are presented and discussed. View full abstract»

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  • Detecting Obstructive Sleep Apnea events in a real-time mobile monitoring system through automatically extracted sets of rules

    Publication Year: 2013 , Page(s): 16 - 20
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2972 KB) |  | HTML iconHTML  

    Performing detection and real-time monitoring of Obstructive Sleep Apnea (OSA) is a significant healthcare task. An easy, cheap, and mobile approach to monitor patients with OSA is proposed here. It gathers data from a patient by a single-channel ECG, and offline automatically extracts knowledge about that patient as a set of IF...THEN rules containing Heart Rate Variability (HRV) parameters. These rules are then used in the real-time mobile monitoring system: ECG data is collected by a wearable sensor, sent to a mobile device, and processed online to compute HRV-related parameter values. If a rule is activated by those values, the system produces an alarm. A literature database of OSA patients has been used to test the approach. View full abstract»

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  • mHealth for cardiac patients telemonitoring and integrated care

    Publication Year: 2013 , Page(s): 21 - 25
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (539 KB) |  | HTML iconHTML  

    In the majority of developing economies there has been limitation to rapid growth of technology-rich and expensive broadband telecommunication infrastructure (e.g. optical fiber networks), which is prerequisite of e-Health. However, along with the emergence of broadband mobile communication networks, mHealth seems advantageous and cost-efficient mode of e-Health in those countries, likewise Georgia. The first mHealth project in Georgia on m-Telemonitoring (MTM-1) of Cardiac arrhythmia - 54 patients with main medical results, Quality of Service (QoS), Quality of Experience (QoE), cost-efficiency and remaining challenges - is presented, as well as the outline of its continuation - MTM-2 project, which aims improvement of decision making for emergency cardiac patients and usage of mHealth applications for integrated care provision in remote regions of Georgia. View full abstract»

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  • Platform for building eHealth streaming services

    Publication Year: 2013 , Page(s): 26 - 30
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (530 KB) |  | HTML iconHTML  

    Services for eHealth usually work as data stream processing systems. Such systems growing demand causes the reusable services and other Service Oriented Architecture advantages become more and more popular in eHealth applications. Complexity of this kind of systems is going to be a major problem. Discussed systems consist of many components which fulfil patient or sportsman requirements. They are very difficult to build manually and be scalable. In response to this challenge we propose a platform for automatic building composite streaming services. This paper describes triple-step composite streaming service construction. The results of the platform efficiency are presented. View full abstract»

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  • Construction of healthcare network based on proposed ECG and physical-activity sensor adopting energy-harvesting technologies

    Publication Year: 2013 , Page(s): 31 - 35
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (13396 KB) |  | HTML iconHTML  

    Recently, ubiquitous vital signs sensing using wireless medical sensors has become essential, not only for inhospital diagnosis but for healthcare at home. In this work, the most advanced electrocardiography (ECG) sensor is proposed. This sensor system makes it possible to eliminate the use of both batteries and self-adhesive electrodes by introducing energy harvesting technology and newly developed unwoven fabric electrodes, respectively. By realizing smaller and thinner implementation and easy handling, the complete sensors may be easily mounted on underwear and allow long term wearable usage for vital signs monitoring. The sensor has the capability of transmitting ECG data to a cloud-based data processing server set up in the Internet via a smartphone or other ubiquitous tools. This paper describes the configuration of the ECG sensor, which adopts cutting edge technologies, and also the constitution of the acquired ECG data transmitting and processing systems. View full abstract»

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  • A mobile health application for falls detection and biofeedback monitoring

    Publication Year: 2013 , Page(s): 36 - 40
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2888 KB) |  | HTML iconHTML  

    A mobile health application solution with biofeedback based on body sensors is very useful to perform a data collection for patients remote monitoring. This system allows comfort, mobility, and efficiency in all the process of data collection providing more confidence and operability. Falls represent a high risk for debilitated elderly people. Falls can be detected by the accelerometer presented in most of the available mobile devices. To reverse this tendency, more accurate data for patients monitoring can be obtained from the body sensors attached to a human body (such as, electro cardiogram, electromyography, blood pressure, electro dermal activity, and temperature). Then, this paper proposes a mobile solution for falls detection and biofeedback monitoring. The proposed system collects sensed data from body that is forwarded to a smartphone or tablet through Bluetooth. Mobile devices are used to display information graphically to users. All the process of data acquisition is performed in real time. The proposed system is evaluated, demonstrated, and validated through a prototype and it is ready for use. View full abstract»

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  • Ambient Assisted Living Technology: Comparative perspectives of users and caregivers

    Publication Year: 2013 , Page(s): 41 - 45
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (260 KB) |  | HTML iconHTML  

    Developed societies are currently facing severe demographic changes: the world population is ageing at an unprecedented rate. This demographic trend will be also followed by an increase of people with physical limitations. New challenges are being raised to the traditional health care systems, not only in Portugal, but also in all other European states. There is an urgent need to find solutions that allow extending the time people can live in their preferred environment by increasing their autonomy, self-confidence and mobility. AAL4ALL is a project currently being developed in cooperation with 34 Portuguese interdisciplinary partners, from industry to academia, R&D and social disciplines, which employs a novel conceptual approach through the development of an ecosystem of products and services for Ambient Assisted Living (AAL) associated to a business model and validated through large scale trial. This paper presents a comparative perspective of the needs and attitudes towards technology of the AAL users and caregivers identified in the analysis of a set of three different surveys: a users survey targeted at the Portuguese seniors and pre-seniors; an informal caregivers survey targeted at the family, friends and neighbours who provide care without any financial compensation; and a formal caregivers survey targeted at physicians, nurses, psychologists, social workers, and direct-care workers providing care to elders. The first results indicate that AAL solutions must be affordable, user friendly and have a true perceived benefit to their users. View full abstract»

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  • A platform to emulate ambient assisted living environments

    Publication Year: 2013 , Page(s): 46 - 50
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1384 KB) |  | HTML iconHTML  

    According to the opinion of clinicians, emerging medical conditions can be timely detected by observing changes in the activities of daily living and/or in the physiological signals of a person. To accomplish such purpose, it is necessary to properly monitor both the person's physiological signals as well as the home environment with sensing technology. Wireless sensor networks (WSNs) are a promising technology for this support. After receiving the data from the sensor nodes, a computer processes the data and extracts information to detect any abnormality. The computer runs algorithms that should have been previously developed and tested in real homes or in living-labs. However, these installations (and volunteers) may not be easily available. In order to get around that difficulty, this paper suggests the making of a physical model to emulate basic actions of a user at home, thus giving autonomy to researchers wanting to test the performance of their algorithms. This paper also studies some data communication issues in mobile WSNs, namely how the orientation of the sensor nodes in the body affects the received signal strength, as well as retransmission aspects of a TDMA-based MAC protocol in the data recovery process. View full abstract»

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  • We.Can platform: An open management architecture for the information persistence

    Publication Year: 2013 , Page(s): 49 - 53
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (567 KB) |  | HTML iconHTML  

    Health and social care systems are currently facing complex challenges that continually require more sophisticated answers. The integration of health, social and informal care and the care personalization are important issues in the organization of existing health and social systems. For that information architectures are required to accommodate a wide range of information objects. The paper presents an architecture that follows an open management information paradigm, where the knowledge model adjusts the information model to the requirements of each specific domain application. This can contribute to the integration of health and social care information records with Ambient Assisted Living and user generated information. View full abstract»

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  • Medical video streaming utilizing MPEG-DASH

    Publication Year: 2013 , Page(s): 54 - 59
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1436 KB) |  | HTML iconHTML  

    This paper presents an analysis of medical video streaming based on the Dynamic Adaptive Streaming over HTTP (DASH) standard from the Moving Picture Experts Group (MPEG).We propose two adaptation approaches at the client and evaluate parameters of the Quality of Experience (QoE), i.e., the quality perceived by the users, by investigating the number and duration of re-buffering events, the added time in the playout, and the Peak Signal-to-Noise Ratio (PSNR) of the medical video frames. The results show that the selection of MPEG-DASH related parameters and the adaptation approach at the client result in improved quality of the medical video streaming. In the end, we discuss how the elaborated approaches and results could be utilized to facilitate and enhance telemedicine applications. View full abstract»

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  • Evaluation of sensors and algorithms for person detection for personal robots

    Publication Year: 2013 , Page(s): 60 - 65
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1635 KB) |  | HTML iconHTML  

    The main objective of this project was to evaluate the sensing system for person detection in the scope of its integration in a mobile robotic platform for Ambient Assisted Living. Two sensors were considered, a camera and a depth sensor. For the camera (2D), 3 different algorithms were implemented: face detection, tracking and recognition. For the depth sensor the whole body detection was tested using skeleton tracking. The results showed that the face detection and recognition algorithms had a very small range, and the face tracking demonstrated to reach a higher distance. However, the latter exhibited poor results when confronted with illumination variations. The skeleton tracking algorithm provided good results, being capable of tracking relatively close to the sensor and up to 3 meters distance. Thus, the 2D face recognition can be used for short distances to identify the person, while the 3D skeleton tracking can be appropriated for distant tracking of the person. This work showed that the integration of these sensing systems, in a robotic platform, can make a robust robot capable of human interaction in home environments. View full abstract»

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  • Trends in mobile medical thermography

    Publication Year: 2013 , Page(s): 66 - 70
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (297 KB) |  | HTML iconHTML  

    The usage of computational systems in medicine is changing from traditional computers to mobile devices with high performance wireless network connections and high definition touch screen user interface. Medical imaging like other clinical information systems, follow that paradigm. Although Medical thermography is the second oldest modality of medical imaging, it has been disregarded for years. However recent technological improvements and the definition of standard capture protocols raised the interest in its usage in recent years. It is presented in this article the requirements that future medical thermography applications should include to be successful in common clinical practice. View full abstract»

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  • Planning for composition of eHealth services

    Publication Year: 2013 , Page(s): 71 - 75
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (389 KB) |  | HTML iconHTML  

    In this paper, a planning-based approach to service composition in medical domain is described. A service composition problem is presented as the syntactic and semantic matching problem, where services are chained together so that one service output can be used in another service input, and in the end provide user with requested goal outputs. Focus is put on the planning aspects of the problem and searching the planning space with the use of modified GraphPlan algorithm. Modifications focus on implementation of a detailed model of service inputs and outputs. Finally, performance study is presented along with commentary on application of the algorithm in the medical domain. View full abstract»

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  • A methodology for multi-actor evaluation of the impact of eCare services

    Publication Year: 2013 , Page(s): 76 - 80
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1122 KB) |  | HTML iconHTML  

    The healthcare sector is an incredibly complex system with many public and private actors and a wide diversity of services. Because of the aging society and the growing evolution of health expenditures, pressure on available resources (time, people, budget, etc.) is increasing. Innovative ICT supported eCare and eCure services are expected to increase efficiency, coordination and organization of care. Currently many initiatives already introduced ICT-supported eCare services into the current healthcare ecosystem. However, it's quite a challenge to estimate the impact and expected uptake of these new eCare services. It's no surprise that only few services commercially succeeded. This paper presents a methodology that identifies and evaluates the PEST factors (political, economical, social and technological aspects) that impact the involved care actors when introducing eCare services. The model takes into account the overall socio-economic aspects of the service, but also the subjective importance that an individual actor can ascribe to a particular eCare service. Combining the impact of these PEST factors leads to an expected adoption rate. Both new services and existing initiatives can be compared to one another and the impact of economies of scale can be investigated. In case a negative impact on some actors is observed, the model proposes cost allocation or service offer alternatives to ameliorate the business case for a particular service. Finally, a sensitivity analysis helps to indicate the most significant parameters that drive the business case. View full abstract»

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  • IoT as a service system for eHealth

    Publication Year: 2013 , Page(s): 81 - 84
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (524 KB) |  | HTML iconHTML  

    The next computer technology revolution prompted by the birth of the Internet of Things (IoT) without a doubt is going to impact health services, particularly eHealth. This paper introduces a formal model integrating IoT and eHealth under the umbrella of service science. The service science component assures that innovative and commerce aspects of a new service denoted SSME/IoT/eHealth is at least equally important as the technology aspects related to architecture and corresponding design methodologies. The medical aspect of the paper has been addressed by a join American-Polish forum associated with the Wroclaw Medical Park in Wroclaw, Poland. View full abstract»

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  • Runtime data-driven adaptation of composite e-Health services

    Publication Year: 2013 , Page(s): 85 - 89
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (420 KB) |  | HTML iconHTML  

    In this paper, an approach to e-Health service adaptation, based on input data analysis is presented. The developed approach can be applied to various services, not only e-Health, however, the motivating scenario presents interesting aspects of the problem and a challenge for efficient service adaptation. The adaptation is presented here as an extension of service composition approach, allowing for increase of efficiency compared to the standard approach, when non-functional parameters are static and their values are not considered to change irrelevantly of the data provided on the input. The adaptation approach has been developed for the service composition platform and its execution engine, to allow for automated service adaptation, given the results of service composition. The tests have been performed using the service composition platform and classification methods from WEKA workbench software. View full abstract»

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  • Using Low-cost computer-based simulations in the Spanish National Transplant Procedures

    Publication Year: 2013 , Page(s): 90 - 94
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3303 KB) |  | HTML iconHTML  

    Spain holds a worldwide privileged position with extraordinary rates of organ deceased donation resulting from an organizational approach known as the “Spanish Model”. The Spanish National Transplant Organization (ONT) is making a continuous effort to improve its teaching methods and to share its knowledge with other countries. This study describes the use of low-cost computer-based simulations covering two key procedures of the organ deceased donation process managed by the ONT central office. The goal of these simulations is to increase the awareness of other health care professionals involved in the process and to support the ONT instructional approach. After ONT experts' validation, these simulations were used by 90 trainees for practicing after a short theoretical presentation of the procedures. Students gave their opinions in a short survey where they confirmed that the simulations helped them establish a better comprehension of the processes. These simulations are now part of the ONT instructional material. View full abstract»

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  • Ensemble SVM for imbalanced data and missing values in postoperative risk management

    Publication Year: 2013 , Page(s): 95 - 99
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (632 KB) |  | HTML iconHTML  

    In this work, we propose the ensemble SVM that solves the problem of missing values of attributes and the imbalanced data phenomenon in the domain of postoperative risk management. Contrary to the other approaches the our solution effectively deals with the problems of high percentage of unknown values of the features. The problem of imbalanced data is solved by applying the cost-sensitive SVM as a base classifier of an ensemble, The quality of the proposed classifier is examined on a real-life dataset. View full abstract»

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  • Integrating Bayesian networks into fuzzy hypothesis testing problem - case based presentation

    Publication Year: 2013 , Page(s): 100 - 104
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (14930 KB) |  | HTML iconHTML  

    Bayesian networks have become a very popular model used to represent probabilistic medical knowledge bases. On the other hand the medical knowledge mostly contains fuzzy relationships among patients, diseases, symptoms and examination and assessment results. In this paper, we present a framework, which will enable us to assess the efficacy of treatment in the presence of imprecise and incomplete information. At its core is the intuitionistic fuzzy generalization of the McNemar test where Bayesian inference reasoning is employed to determine the membership and non-membership functions. Our approach integrates machine-learning techniques to support the hypothesis testing problem where the efficacy of treatment needs to be addressed with regard to imprecise and incomplete patient data stored in medical datasets. View full abstract»

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  • Comparative and adaptation of step detection and step length estimators to a lateral belt worn accelerometer

    Publication Year: 2013 , Page(s): 105 - 109
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (384 KB) |  | HTML iconHTML  

    Parkinson's Disease (PD) is a neurodegenerative disease that predominantly alter patients' motor performance and compromises the speed, the automaticity and fluidity of natural movements. The patients fluctuate between periods in which they can move almost normally for some hours (ON state) and periods with motor disorders (OFF state). Gait properties are affected by the motor state of a patient: reduced stride length, reduced gait speed, increased stride width etc. The ability to assess the motor states (ON/OFF) on a continuous basis for long time without disturbing the patients' daily life activities is an important component of PD management. An accurate report of motor states could allow clinics to adjust the medication regimen to avoid OFF periods. The real-time monitoring will also allow an online treatment by combining, for instance, with automatic drug-administration pump doses. Many studies have attempted to extract gait properties through a belt-worn single tri-axial accelerometer. In this paper, a user friendly position is proposed to place the accelerometer and three step detection methods and three step length estimators are compared considering the proposed sensor placement in signals obtained from healthy volunteers and PD patients. Adaptation methods to these step length estimators are also proposed and compared. The comparison shows that the adapted estimators improve the performance with the new proposed step detection method and reduce errors in respect of the original methods. View full abstract»

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