Sajid Hussain

Laurence T. Yang

Fr&#233;d&#233;rique Laforest

Christine Verdier

Pervasive Health Care Services and Technologies

Continuous care models for chronic diseases pose several technology-oriented challenges for home-based continuous care, where assistance services rely on a close collaboration among different stakeholders such as health operators, patient relatives, and social community members. Here we describe Emilia Romagna Mobile Health Assistance Network (ERMHAN) a multichannel context-aware service platform designed to support care networks in cooperating and sharing information with the goal of improving patient quality of life. In order to meet extensibility and flexibility requirements, this platform has been developed through ontology-based context-aware computing and a service oriented approach. We also provide some preliminary results of performance analysis and user survey activity.

Federica Paganelli

Emilio Spinicci

Dino Giuli

ERMHAN: A Context-Aware Service Platform to Support Continuous Care Networks for Home-Based Assistance

Electronic health record (EHR) projects have been launched in most developed countries to increase the quality of healthcare while decreasing its cost. The benefits provided by centralizing the healthcare information in database systems are unquestionable in terms of information quality, availability, and protection against failure. Yet, patients are reluctant to give to a distant server the control over highly sensitive data (e.g., data revealing a severe or shameful disease). This paper capitalizes on a new hardware portable device, associating the security of a smart card to the storage capacity of a USB key, to give back to the patient the control over his medical data. This paper shows how this device can complement a traditional EHR server to (1) protect and share highly sensitive data among trusted parties and (2) provide a seamless access to the data even in disconnected mode. The proposed architecture is experimented in the context of a medicosocial network providing medical care and social services at home for elderly people.

Nicolas Anciaux

Morgane Berthelot

Laurent Braconnier

Luc Bouganim

Martine De la Blache

Georges Gardarin

Philippe Kesmarszky

Sophie Lartigue

Jean-François Navarre

Philippe Pucheral

Jean-Jacques Vandewalle

Karine Zeitouni

A Tamper-Resistant and Portable Healthcare Folder

A novel method of detecting mechanical movement of the heart, Mechanocardiography (MCG), with no connection to the subject&#39;s body is presented. This measurement is based on radar technology and it has been proven through this research work that the acquired signal is highly correlated to the phonocardiograph signal and acceleration-based ballistocardiograph signal (BCG) recorded directly from the sternum. The heart rate and respiration rate have been extracted from the acquired signal as two possible physiological monitoring applications of the radar-based MCG device.

Kouhyar Tavakolian

Faranak M. Zadeh

Yindar Chuo

Ali Vaseghi

Bozena Kaminska

Development of a Novel Contactless Mechanocardiograph Device

We present a framework for a wireless health
monitoring system using wireless networks such as ZigBee. Vital
signals are collected and processed using a 3-tiered architecture.
The first stage is the mobile device carried on the body that
runs a number of wired and wireless probes. This device is also
designed to perform some basic processing such as the heart
rate and fatal failure detection. At the second stage, further
processing is performed by a local server using the raw data
transmitted by the mobile device continuously. The raw data is
also stored at this server. The processed data as well as the
analysis results are then transmitted to the service provider
center for diagnostic reviews as well as storage. The main
advantages of the proposed framework are (1) the ability to
detect signals wirelessly within a body sensor network (BSN),
(2) low-power and reliable data transmission through ZigBee
network nodes, (3) secure transmission of medical data over BSN,
(4) efficient channel allocation for medical data transmission over
wireless networks, and (5) optimized analysis of data using an
adaptive architecture that maximizes the utility of processing and
computational capacity at each platform.

S. Da&#287;ta&#351;

G. Pekhteryev

Z. &#350;ahino&#287;lu

H. &#199;am

N. Challa

Real-Time and Secure Wireless Health Monitoring

Sleeping disorders affect a large percentage of the population, and many of them go undiagnosed each year because the method of diagnosis is to stay overnight at a sleep center. Because pervasive technologies have become so prevalent and affordable, sleep monitoring is no longer confined to a permanent installation, and can therefore be brought directly into the user home. We present a unique solution to the problem of home sleep monitoring that has the possibility to take the place of and expand on the data from a sleep center. PATHOS focuses not only on analyzing patterns during the night, but also on collecting data about the subject lifestyle that is relevant and important to the diagnosis of his/her sleep. PATHOS means “evoking emotion.” Here, we mean Pathos will help us to keep healthy: both mentally and physically. Our solution uses existing technology to keep down cost and is completely wireless in order to provide portability and be easily to customize. The daytime collection also utilizes existing technology and offers a wide range of input methods to suit any type of person. We also include an in-depth look at the hardware we used to implement and the software providing user interaction. Our system is not only a viable alternative to a sleep center, it also provides functions that a static, short-term solution cannot  provide, allowing for a more accurate diagnosis and treatment.

Ian Obermiller

Sheikh I. Ahamed

PATHOS: Pervasive at Home Sleep Monitoring

This research takes place in the <svg style="vertical-align:-2.21957pt;width:61.775002px;" id="M1" height="16.75" version="1.1" viewBox="0 0 61.775002 16.75" width="61.775002" xmlns="http://www.w3.org/2000/svg">
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</svg> project which proposes software architecture to monitor elderly people in their own homes. We want to build patterns dynamically from data about activity, movements, and physiological information of the monitored people. To achieve that, we propose a multiagent method of classification: every agent has a simple know-how of classification. Data generated at this local level are communicated and adjusted between agents to obtain a set of patterns. The patterns are used at a personal level, for example to raise an alert, but also to evaluate global risks (epidemic, heat wave). These data are dynamic; the system has to maintain the built patterns and has to create new patterns. So, the system is adaptive and can be spread on a large scale.

Ali Rammal

Sylvie Trouilhet

Nicolas Singer

Jean-Marie P&#233;catte

An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns

In the context of a constantly increasing aging population with
cognitive deficiencies, insuring the autonomy of the elders at
home becomes a priority. The DOMUS laboratory is addressing
this issue by conceiving a smart home which can both assist
people and preserve their quality of life. Obviously, the ability to
monitor properly the occupant&#8217;s activities and thus provide the
pertinent assistance depends highly on location information inside
the smart home. This paper proposes a solution to localize the
occupant thanks to Bayesian filtering and a set of anonymous
sensors disseminated throughout the house. The localization
system is designed for a single person inside the house. It could
however be used in conjunction with other localization systems
in case more people are present. Our solution is functional in real
conditions. We conceived an experiment to estimate precisely its
accuracy and evaluate its robustness. The experiment consists
of a scenario of daily routine meant to maximize the occupant&#8217;s
motion in meaningful activities. It was performed by 14 subjects,
one subject at a time. The results are satisfactory: the system&#8217;s
accuracy exceeds 85% and is independent of the occupant&#8217;s
profile. The system works in real time and behaves well in
presence of noise.

Youcef Rahal

H&#233;l&#232;ne Pigot

Philippe Mabilleau

Location Estimation in a Smart Home: System Implementation and Evaluation Using Experimental Data

We propose a method utilizing a derived social security number with the same reliability as the social security number. We show the anonymity techniques classically based on unidirectional hash functions (such as the secure hash algorithm (SHA-2) function that can guarantee the security, quality, and reliability of information if these techniques are applied to the Social Security Number). Hashing produces a strictly anonymous code that is always the same for a given individual, and thus enables patient data to be linked. Different solutions are developed and proposed in this article. Hashing the social security number will make it possible to link the information in the personal medical file to other national health information sources with the aim of completing or validating the personal medical record or conducting epidemiological and clinical research. This data linkage would meet the anonymous data requirements of the European directive on data protection.

Catherine Quantin

Fran&#231;ois-Andr&#233; Allaert

Paul Avillach

Maniane Fassa

Beno&#238;t Riandey

Gilles Trouessin

Olivier Cohen

Building Application-Related Patient Identifiers: What Solution for a European Country?

A new system-on-a-chip radar sensor for next-generation wearable wireless interface applied to the human health care and safeguard is presented. The system overview is provided and the feasibility study of the radar sensor is presented. In detail, the overall system consists of a radar sensor for detecting the heart and breath rates and a low-power IEEE 802.15.4 ZigBee radio interface, which provides a wireless data link with remote data acquisition and control units. In particular, the pulse radar exploits 3.1&#x2013;10.6&#x2009;GHz ultra-wideband signals which allow a significant reduction of the transceiver complexity and then of its power consumption. The operating principle of the radar for the cardiopulmonary monitoring is highlighted and the results of the system analysis are reported. Moreover, the results obtained from the building-blocks design, the channel measurement, and the ultra-wideband antenna realization are reported.

Domenico Zito

Domenico Pepe

Bruno Neri

Fabio Zito

Danilo De Rossi

Antonio Lanat&#xe0;

Feasibility Study and Design of a Wearable System-on-a-Chip Pulse Radar for Contactless Cardiopulmonary Monitoring

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International Journal of Telemedicine and Applications focuses on the applications of medical practice and care at a distance and their supporting technologies such as, computing, communications, and networking technologies.

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International Journal of Telemedicine and Applications

Pervasive Health Care Services and Technologies

Pervasive Health Care Services and Technologies

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