Identification de situation de détresse par la fusion de données multimodales pour la télévigilance médicale à domicile, Distress situation identification by multimodal data fusion for home healthcare telemonitoring

Hamid Medjahed

Description

Sous la direction de Bernadette Dorizzi
Thèse soutenue le 19 janvier 2010: Institut national des télécommunications d'Evry
Aujourd'hui, la proportion des personnes âgées devient importante par rapport à l'ensemble de la population, et les capacités d'admission dans les hôpitaux sont limitées. En conséquence, plusieurs systèmes de télévigilance médicale ont été développés, mais il existe peu de solutions commerciales. Ces systèmes se concentrent soit sur la mise en oeuvre d’une architecture générique pour l'intégration des systèmes d'information médicale, soit sur l'amélioration de la vie quotidienne des patients en utilisant divers dispositifs automatiques avec alarme, soit sur l’offre de services de soins aux patients souffrant de certaines maladies comme l'asthme, le diabète, les problèmes cardiaques ou pulmonaires, ou la maladie d'Alzheimer. Dans ce contexte, un système automatique pour la télévigilance médicale à domicile est une solution pour faire face à ces problèmes et ainsi permettre aux personnes âgées de vivre en toute sécurité et en toute indépendance à leur domicile. Dans cette thèse, qui s’inscrit dans le cadre de la télévigilance médicale, un nouveau système de télévigilance médicale à plusieurs modalités nommé EMUTEM (Environnement Multimodale pour la Télévigilance Médicale) est présenté. Il combine et synchronise plusieurs modalités ou capteurs, grâce à une technique de fusion de données multimodale basée sur la logique floue. Ce système peut assurer une surveillance continue de la santé des personnes âgées. L'originalité de ce système avec la nouvelle approche de fusion est sa flexibilité à combiner plusieurs modalités de télévigilance médicale. Il offre un grand bénéfice aux personnes âgées en surveillant en permanence leur état de santé et en détectant d’éventuelles situations de détresse.
-Télémédecine
-Fusion multimodale
-Télévigilance
The population age increases in all societies throughout the world. In Europe, for example, the life expectancy for men is about 71 years and for women about 79 years. For North America the life expectancy, currently is about 75 for men and 81 for women. Moreover, the elderly prefer to preserve their independence, autonomy and way of life living at home the longest time possible. The current healthcare infrastructures in these countries are widely considered to be inadequate to meet the needs of an increasingly older population. Home healthcare monitoring is a solution to deal with this problem and to ensure that elderly people can live safely and independently in their own homes for as long as possible. Automatic in-home healthcare monitoring is a technological approach which helps people age in place by continuously telemonitoring. In this thesis, we explore automatic in-home healthcare monitoring by conducting a study of professionals who currently perform in-home healthcare monitoring, by combining and synchronizing various telemonitoring modalities,under a data synchronization and multimodal data fusion platform, FL-EMUTEM (Fuzzy Logic Multimodal Environment for Medical Remote Monitoring). This platform incorporates algorithms that process each modality and providing a technique of multimodal data fusion which can ensures a pervasive in-home health monitoring for elderly people based on fuzzy logic.The originality of this thesis which is the combination of various modalities in the home, about its inhabitant and their surroundings, will constitute an interesting benefit and impact for the elderly person suffering from loneliness. This work complements the stationary smart home environment in bringing to bear its capability for integrative continuous observation and detection of critical situations.
Source: http://www.theses.fr/2010TELE0002/document

Sujets

• Télémédecine

Informations

• Publié par: Thesee
• Nombre de lectures: 33
• Langue: English
• Poids de l'ouvrage: 4 Mo

Extrait

PhD Thesis from INSTITUT NATIONAL DES TELECOMMUNICATIONS
in the frame of the doctoral program in S&I co-accreditation with
EVRY-VAL D'ESSONNE UNIVERSITY

Specialty:
Computer Sciences

by
Hamid MEDJAHED

A thesis submitted to
INSTITUT NATIONAL DES TELECOMMUNICATIONS
for the degree of Doctor of Philosophy

DISTRESS SITUATION IDENTIFICATION BY
MULTIMODAL DATA FUSION FOR HOME HEALTHCARE
TELEMONITORING

th
January 19 , 2010

Thesis Committee:

M. CROWLEY James, Doctorat d’Etat, Professor
INPG, Grenoble Chairman
M. DEMONGEOT Jacques, Doctorat d’état, Professor
Joseph Fourier University, Grenoble, TIMC IMAG Reader/Reporter
M. HEWSON David, Associate Professor, HDR
Université de technologie de Troyes Reader/Reporter
M. IANCU Eugen, Doctorat D’état, Professor
Craiova University, Roumanie Moderator
M. ISTRATE Dan, PhD, Associate Professor
LRIT, ESIGETEL Fontainebleau -Avon Moderator (Supervisor n°1)
M. BOUDY Jérôme, PhD, Studies Engineer
EPH, TELECOM SUDPARIS Moderator (Supervisor n°2)
M. DORIZZI Bernadette, HDR, Professor
EPH, TEP Thesis Director
M. BAER Michel, MD, Physician anesthesiologist, Director
SAMU92 – Hôpital R. Poincaré Garches Moderator

Thesis n°:2010TELE0002

tel-00541876, version 1 - 1 Dec 2010
Thèse de doctorat de l’INSTITUT NATIONAL DES TELECOMMUNICATIONS dans le cadre
de l’école doctorale S&I en
co-accréditation avec
l’UNIVERSITE D’EVRY-VAL D’ESSONNE

Spécialité:
Science de l’ingénieur

Par
Hamid MEDJAHED


Thèse présentée pour l’obtention du grade de Docteur
de l’ INSTITUT NATIONAL DES TELECOMMUNICATIONS


IDENTIFICATION DE SITUATION DE DETRESSE PAR LA FUSION DE
DONNEES MULTIMODLES POUR LA TELEVIGELANCE MEDICALE A
DOMICILE

Soutenue le 19 janvier 2010 devant le jury composé de:

M. CROWLEY James, Doctorat d’Etat, Professeur
INPG Grenoble Président
M. DEMONGEOT Jacques, Docteur d’état, Professeur
Université Joseph Fourier de Grenoble, TIMC IMAG Rapporteur
M. HEWSON David, Enseignant chercheur, HDR
Université de technologie de Troyes Rapporteur
M. IANCU Eugen, Docteur D’état, Professeur
Université de Craiova, Roumanie Examinateur
M. ISTRATE Dan, Doctorat, Maitre de Conférences
LRIT, ESIGETEL Fontainebleau -Avon Examinateur (Encadrant n°1)
M.BOUDY Jérôme, Doctorat, Ingénieur d’Etudes
EPH, TELECOM SUDPARIS Examinateur (Encadrant n°2)
M. DORIZZI Bernadette, HDR, Professeur
EPH, TEP Directeur de thèse
M. BAER Michel, MD, Médecin Anesthésiste Directeur
SAMU92 – Hôpital R. Poincaré Garches Examinateur

Thèse n° : 2010TELE0002

tel-00541876, version 1 - 1 Dec 20102
tel-00541876, version 1 - 1 Dec 2010Abstract
The population age increases in all societies throughout the world. In
Europe, for example, the life expectancy for men is about 71 years and for
women about 79 years. For North America the life expectancy, currently is
about 75 for men and 81 for women. Moreover, the elderly prefer to preserve
their independence, autonomy and way of life living at home the longest time
possible. The current healthcare infrastructures in these countries are widely
considered to be inadequate to meet the needs of an increasingly older pop-
ulation. Home healthcare monitoring is a solution to deal with this problem
and to ensure that elderly people can live safely and independently in their
own homes for as long as possible. Automatic in-home healthcare monitoring
is a technological approach which helps people age in place by continuously
telemonitoring.
In this thesis, we explore automatic in-home healthcare monitoring by con-
ducting a study of professionals who currently perform in-home healthcare
monitoring, by combining and synchronizing various telemonitoring modali-
ties,under a data synchronization and multimodal data fusion platform, FL-
EMUTEM (Fuzzy Logic Multimodal Environment for Medical Remote Mon-
itoring). This platform incorporates algorithms that process each modality
and providing a technique of multimodal data fusion which can ensures a
pervasive in-home health monitoring for elderly people based on fuzzy logic.
The originality of this thesis which is the combination of various modalities
in the home, about its inhabitant and their surroundings, will constitute an
interesting bene t and impact for the elderly person su ering from loneliness.
This work complements the stationary smart home environment in bringing
to bear its capability for integrative continuous observation and detection of
critical situations.
tel-00541876, version 1 - 1 Dec 2010Acknowledgements
I owe the most thanks to my advisors, Dan Istrate, Jerome Boudy and
Fran cois Steenkeste. I was lucky to be paired with such amiable and ruth-
lessly intelligent persons. I am very grateful to professor Bernadette Dorizzi,
the director of this thesis for his help and support. I also appreciate the sup-
port of the LRIT laboratory at ESIGETEL and EPH laboratory at Telecom
SudParis.
Many thanks to Jean-Louis Baldinger and Imad Bel ki for gaving me lots of
support and helped me to go through my piece of research. I would like to
thank Toukif Guettari for his kind help.I would also like to thank all LRIT
team and EPH team. I thank the other members of my thesis committee.
Finally, I thank my parents, especially my mother for being a solid base
for me, and many thanks to all my family and all my friends.
1
tel-00541876, version 1 - 1 Dec 2010Contents
1 Introduction 10
1.1 Thesis Context . . . . . . . . . . . . . . . . . . . . . . . . . . 11
1.2 Telemedicine . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
1.2.1 Information and Communication Technologies in Medicine 12
1.2.2 De nition . . . . . . . . . . . . . . . . . . . . . . . . . 13
1.2.2.1 Services . . . . . . . . . . . . . . . . . . . . . 13
1.2.2.2 Communication Mechanisms . . . . . . . . . . 14
1.2.3 Legal and Ethical Issues . . . . . . . . . . . . . . . . . 15
1.3 Home Healthcare Telemonitoring . . . . . . . . . . . . . . . . 17
1.3.1 Goals and Objectives . . . . . . . . . . . . . . . . . . . 17
1.3.2 Description . . . . . . . . . . . . . . . . . . . . . . . . 17
1.3.3 Application Issues . . . . . . . . . . . . . . . . . . . . . 18
1.3.4 State of the Art . . . . . . . . . . . . . . . . . . . . . . 19
1.3.4.1 Generic Architecture as a Global Information
Systems . . . . . . . . . . . . . . . . . . . . . 20
1.3.4.2 Smart Home Systems . . . . . . . . . . . . . 20
1.3.4.3 Management and Storage Database Systems . 22
1.3.4.4 Mobile Robotic Companions for Home Tele-
monitoring . . . . . . . . . . . . . . . . . . . 22
1.3.4.5 Intelligent Assistant Systems . . . . . . . . . 23
1.3.5 Challenges for Home Healthcare Telemonitoring . . . . 24
1.4 Thesis Objectives and Contributions . . . . . . . . . . . . . . 24
1.4.1 Distress Situations Detection of Person at Home . . . . 25
1.4.2 The Decision Issue of the Situation of a Person at Home 26
2 Data Collection for In-Home Monitoring 27
2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
2.2 Context Awareness . . . . . . . . . . . . . . . . . . . . . . . . 29
2.3 The Proposed Platform For Database
Recording/EMUTEM . . . . . . . . . . . . . . . . . . . . . . . 30
2.3.1 EMUTEM Architecture . . . . . . . . . . . . . . . . . 31
2
tel-00541876, version 1 - 1 Dec 20102.3.1.1 Hardware Architecture . . . . . . . . . . . . . 31
2.3.1.2 Software Arc . . . . . . . . . . . . . 33
2.3.2 EMUTEM Components . . . . . . . . . . . . . . . . . 34
2.3.2.1 The Smart Sound Sensor (Anason) . . . . . . 34
2.3.2.2 The Wearable Device (RFpat) . . . . . . . . . 36
2.3.2.3 Gardien Subsystem . . . . . . . . . . . . . . . 38
2.3.3 EMUTEM Components Synchronization . . . . . . . . 39
2.4 Multimodal Database Recording Strategy . . . . . . . . . . . . 40
2.4.1 Recording Conditions and Inventory . . . . . . . . . . 40
2.4.2 Reference Scenarios . . . . . . . . . . . . . . . . . . . . 41
2.4.3 Simulation Process . . . . . . . . . . . . . . . . . . . . 45
2