Conception de dispositifs électroniques portés pour le suivi de l’état de santé des personnes âgées

Les solutions techniques permettant de repondre a la problematique du vieillissement sont aujourd’hui une necessite. La mesure de l’activite motrice est un indicateur pour le praticien de l’etat de sante de la personne âgee. L’objectif de ce travail est de developper une instrumentation medicale pour mettre en place un suivi de l’activite a domicile. Ces solutions techniques associent : des capteurs portes et ambiants, des logiciels de traitement, et des interfaces utilisateurs. Ces travaux sont associes a deux applications cliniques : Le suivi de personnes dependantes en institution a l’aide d’un patch electronique porte et le suivi de personnes fragiles a domicile a l’aide d’une semelle intelligente. Le developpement des solutions techniques est realise en plusieurs etapes : conception technique, caracterisation en laboratoire, et essais en conditions d’usages. Les resultats de ces experimentations ont permis de proposer des recommandations en termes d’usages des solutions techniques.

[1]  S. Bonhomme,et al.  Méthodologie et outils pour la conception d'un habitat intelligent , 2008 .

[2]  E. Stenzel,et al.  Tuning fork silicon angular rate sensor with enhanced performance for automotive applications , 2000 .

[3]  Analysis of Nighttime Activity and Daytime Pain in Patients with Chronic Back Pain Using a Self-Organizing Map Neural Network , 2005, Journal of clinical monitoring and computing.

[4]  Robert Puers,et al.  Motion-Based Generators for Industrial Applications , 2007, ArXiv.

[5]  Quentin Ladetto,et al.  On foot navigation: continuous step calibration using both complementary recursive prediction and adaptive Kalman filtering , 2000 .

[6]  Thad Starner,et al.  Human-Powered Wearable Computing , 1996, IBM Syst. J..

[7]  A. Thevenon,et al.  A real-time plantar pressure feedback device for foot unloading. , 2004, Archives of physical medicine and rehabilitation.

[8]  Marcel Aymé,et al.  A et B , 1970 .

[9]  H. Inooka,et al.  Non-restricted measurement of walking distance , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[10]  Walid Bourennane,et al.  Étude et conception d’un système de télésurveillance et de détection de situations critiques "par suivi actimétrique" des personnes à risques en milieu indoor et outdoor , 2013 .

[11]  K. Sakairi.  Research of robot-assisted activity for the elderly with senile dementia in a group home , 2004, SICE 2004 Annual Conference.

[12]  Koichi Kurumatani,et al.  ZigBee based indoor localization with particle filter estimation , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

[13]  Arthur D. Fisk,et al.  Aware technologies for aging in place: understanding user needs and attitudes , 2004, IEEE Pervasive Computing.

[14]  Rainer Mautz,et al.  The challenges of indoor environments and specification on some alternative positioning systems , 2009, 2009 6th Workshop on Positioning, Navigation and Communication.

[15]  S. Studenski,et al.  Research Agenda for Frailty in Older Adults: Toward a Better Understanding of Physiology and Etiology: Summary from the American Geriatrics Society/National Institute on Aging Research Conference on Frailty in Older Adults , 2006, Journal of the American Geriatrics Society.

[16]  Anantha Chandrakasan,et al.  Vibration-to-electric energy conversion , 1999, Proceedings. 1999 International Symposium on Low Power Electronics and Design (Cat. No.99TH8477).

[17]  Daniel Sánchez Morillo,et al.  An Accelerometer-Based Device for Sleep Apnea Screening , 2010, IEEE Transactions on Information Technology in Biomedicine.

[18]  S. J. Redmond,et al.  Sensors-Based Wearable Systems for Monitoring of Human Movement and Falls , 2012, IEEE Sensors Journal.

[19]  Yeh-Liang Hsu,et al.  A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring , 2010, Sensors.

[20]  P. Topo.  Technology Studies to Meet the Needs of People With Dementia and Their Caregivers , 2009 .

[21]  Jean-Yves Fourniols,et al.  Smart wearable systems: Current status and future challenges , 2012, Artif. Intell. Medicine.

[22]  Wen-Hsing Kuo,et al.  An intelligent positioning approach: RSSI-based indoor and outdoor localization scheme in Zigbee networks , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[23]  Eric Campo,et al.  A Telemetry System Embedded in Clothes for Indoor Localization and Elderly Health Monitoring , 2013, Sensors.

[24]  Ramiro Velazquez,et al.  Wearable Assistive Devices for the Blind , 2016, ArXiv.

[25]  Place de l'actimétrie dans la gestion médicale du sujet âgé fragile , 2005 .

[26]  S. H. Shin,et al.  MEMS-Based Personal Navigator Equipped on the User's Body , 2005 .

[27]  Kamiar Aminian,et al.  Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly , 2003, IEEE Transactions on Biomedical Engineering.

[28]  P. E. Martin,et al.  Step length and frequency effects on ground reaction forces during walking. , 1992, Journal of biomechanics.

[29]  J. Bortz.  A New Mathematical Formulation for Strapdown Inertial Navigation , 1971, IEEE Transactions on Aerospace and Electronic Systems.

[30]  A. Bourke,et al.  Fall detection - Principles and Methods , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[31]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[32]  Eric Campo,et al.  A review of smart homes - Present state and future challenges , 2008, Comput. Methods Programs Biomed..

[33]  Karel Heurtefeux,et al.  De la pertinence du RSSI pour la localisation dans les réseaux de capteurs , 2012 .

[34]  R. Fitzpatrick,et al.  Acceleration patterns of the head and pelvis when walking are associated with risk of falling in community-dwelling older people. , 2003, The journals of gerontology. Series A, Biological sciences and medical sciences.

[35]  M. Tomizuka,et al.  A Gait Monitoring System Based on Air Pressure Sensors Embedded in a Shoe , 2009, IEEE/ASME Transactions on Mechatronics.

[36]  S. Urry.  Plantar pressure-measurement sensors , 1999 .

[37]  Guillermo Glez-de-Rivera,et al.  Low cost indoor ultrasonic positioning implemented in FPGA , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.