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  • Reconeixement del Consell Social UPC als guardonats durant l'any 2013

     Cabestany Moncusi, Joan; Català Mallofré, Andreu
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  • Centre d'Estudis Tecnològics per a l'atenció a la Dependència i vida autònoma

     Cabestany Moncusi, Joan; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cosp Vilella, Jordi; Llanas Parra, Francesc Xavier; Sama Monsonis, Albert; Perez Lopez, Carlos; Rodriguez Martin, Daniel Manuel; Reyes Ortiz, Jorge Luis; Sayeed, Taufique; Takac, Boris; Khan, Rafiullah; Huang-Ming, Chang; Bano, Sophia; Català Mallofré, Andreu
    Competitive project

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

     Sayeed, Taufique; Sama Monsonis, Albert; Català Mallofré, Andreu; Cabestany Moncusi, Joan
    IEEE International Conference on e-Health Networking, Applications and Services
    p. 105-109
    Presentation's date: 2013-10-10
    Presentation of work at congresses

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    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.

    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.

  • Comparison and adaptation of step length and gait speed estimators from single belt worn accelerometer positioned on lateral side of the body

     Sayeed, Taufique; Sama Monsonis, Albert; Català Mallofré, Andreu; Cabestany Moncusi, Joan
    IEEE International Symposium on Intelligent Signal Processing
    p. 14-20
    Presentation's date: 2013-09-17
    Presentation of work at congresses

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    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 drugadministration 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 six step length estimators are compared considering the proposed sensor placement in a preliminary database of healthy volunteers. Adaptation methods to some of these estimators are also proposed and compared. The comparison shows that the adapted estimators improve the performance and reduce errors in respect of the original methods applied in the new sensor location.

    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 drugadministration 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 six step length estimators are compared considering the proposed sensor placement in a preliminary database of healthy volunteers. Adaptation methods to some of these estimators are also proposed and compared. The comparison shows that the adapted estimators improve the performance and reduce errors in respect of the original methods applied in the new sensor location.

  • Millor projecte europeu de recerca. European Projects Awards 2013

     Cabestany Moncusi, Joan; Rovira, Jordi; Rodríguez, Alejandro
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  • Preface

     Rojas, Ignacio; Joya, Gonzalo; Cabestany Moncusi, Joan
    International Work-Conference on Artificial Neural Networks
    p. V-VII
    Presentation's date: 2013-06
    Presentation of work at congresses

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  • Identification of postural transitions using a waist-located inertial sensor

     Rodriguez Martin, Daniel Manuel; Sama Monsonis, Albert; Perez Lopez, Carlos; Català Mallofré, Andreu; Cabestany Moncusi, Joan; Rodríguez Molinero, Alejandro
    International Work-Conference on Artificial Neural Networks
    p. 142-149
    DOI: 10.1007/978-3-642-38682-4
    Presentation's date: 2013-06-13
    Presentation of work at congresses

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    Analysis of human movement is an important research area, specially for health applications. In order to assess the quality of life of people with mobility problems like Parkinson¿s disease (PD) or stroke patients, it is crucial to monitor their daily life activities. The main goal of this work is to characterize basic activities and their transitions using a single sensor located at the waist. This paper presents a novel postural detection algorithm which is able to detect and identify 6 different postural transitions, sit to stand, stand to sit, bending up/down and lying to sit and sit to lying transitions with a sensitivity of 86.5% and specificity of 95%. The algorithm has been tested on 31 healthy volunteers and 8 PD patients who performed a total of 545 and 176 transitions respectively. The proposed algorithm is suitable to be implemented in real-time systems for on-line monitoring applications.

    Analysis of human movement is an important research area, specially for health applications. In order to assess the quality of life of people with mobility problems like Parkinson’s disease (PD) or stroke patients, it is crucial to monitor their daily life activities. The main goal of this work is to characterize basic activities and their transitions using a single sensor located at the waist. This paper presents a novel postural detection algorithm which is able to detect and identify 6 different postural transitions, sit to stand, stand to sit, bending up/down and lying to sit and sit to lying transitions with a sensitivity of 86.5% and specificity of 95%. The algorithm has been tested on 31 healthy volunteers and 8 PD patients who performed a total of 545 and 176 transitions respectively. The proposed algorithm is suitable to be implemented in real-time systems for on-line monitoring applications.

  • REMPARK: when AI and technology meet parkinson disease assessment

     Cabestany Moncusi, Joan; Perez Lopez, Carlos; Sama Monsonis, Albert; Moreno Arostegui, Juan Manuel; Bayes, Ángels; Rodríguez Molinero, Alejandro
    International Conference Mixed Design of Integrated Circuits and Systems
    p. 562-567
    Presentation's date: 2013-06
    Presentation of work at congresses

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    REMPARK project objective is to develop a personal health system with closed loop detection, response and action capabilities for the assessment and possible management of Parkinson's Disease (PD) patients. The project is developing a wearable monitoring system able to identify in real time the motor status of the PD patients and evaluating ON/OFF/Dyskinesia status with a very high sensitivity and specificity degree (>80%) in operation during ambulatory conditions. Identification of the motor status is based on the knowledge included in a large database obtained with the collaboration of a number of volunteer PD patients, according a specific defined protocol in ambulatory conditions. Artificial Intelligence (AI) methods are applied to the database information for the automatic detection of motor symptoms.

  • FATE: one step towards an automatic aging people fall detection service

     Cabestany Moncusi, Joan; Moreno Arostegui, Juan Manuel; Perez Lopez, Carlos; Sama Monsonis, Albert; Català Mallofré, Andreu; Rodríguez Molinero, Alejandro; Arnal, Marc
    International Conference Mixed Design of Integrated Circuits and Systems
    p. 545-552
    Presentation's date: 2013-06
    Presentation of work at congresses

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    FATE is a project funded by the European Union under the program CIP/ICT-PSP with the main objective of organizing a big pilot on the automatic falls detection in aging people living at home. Automatic detection of falls is done in indoors and outdoors conditions, and in both cases the detection generates an alarm sent to a call center. The detection system is designed around a sensor sub-system based on accelerometers and gyroscopes able to detect falls with a high reliability. The complete system is based on a communications layer based in ZigBee and Bluetooth protocols. The gateway for sending the alarm to the call center is a mobile phone. Pilots are organized in three different countries (Spain, Italy and Ireland) where different models of health service and implemented call centers are available. Pilots duration will be one year, involving 175 users and one of the main final objectives is to gain experience with the integration of an automatic fall detection service in an already care/health existing service.

  • Access to the full text
    A heterogeneous database for movement knowledge extraction in Parkinson's disease  Open access

     Sama Monsonis, Albert; Perez Lopez, Carlos; Rodriguez Martin, Daniel Manuel; Cabestany Moncusi, Joan; Moreno Arostegui, Juan Manuel; Rodríguez Molinero, Alejandro
    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
    p. 413-418
    Presentation's date: 2013-04-26
    Presentation of work at congresses

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    This paper presents the design and methodology used to create a heterogeneous database for knowledge movement extraction in Parkinson's Disease. This database is being constructed as part of REM- PARK project and is composed of movement measurements acquired from inertial sensors, standard medical scales as Unied Parkinson's Disease Rating Scale, and other information obtained from 90 Parkinson's Disease patients. The signals obtained will be used to create movement disorder detection algorithms using supervised learning techniques. The different sources of information and the need of labelled data pose many challenges which the methodology described in this paper addresses. Some preliminary data obtained are presented.

    This paper presents the design and methodology used to create a heterogeneous database for knowledge movement extraction in Parkinson's Disease. This database is being constructed as part of REM- PARK project and is composed of movement measurements acquired from inertial sensors, standard medical scales as Uni ed Parkinson's Disease Rating Scale, and other information obtained from 90 Parkinson's Disease patients. The signals obtained will be used to create movement disorder detection algorithms using supervised learning techniques. The different sources of information and the need of labelled data pose many challenges which the methodology described in this paper addresses. Some preliminary data obtained are presented.

  • Human activity and motion disorder recognition: towards smarter interactive cognitive environments

     Reyes Ortiz, Jorge Luis; Ghio, Alessandro; Anguita, Davide; Parra Perez, Xavier; Cabestany Moncusi, Joan; Català Mallofré, Andreu
    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
    p. 403-412
    Presentation's date: 2013-04-24
    Presentation of work at congresses

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    The rise of ubiquitous computing systems in our environment is engendering a strong need for novel approaches of human-computer interaction. Either for extending the existing range of possibilities and services available to people or for providing assistance the ones with limited conditions. Human Activity Recognition (HAR) is playing a central role in this task by offering the input for the development of more interactive and cognitive environments. This has motivated the organization of the ESANN 2013 Special Session in Human Activity and Motion Disorder Recognition and the execution of a competition in HAR. Here, a compilation of the most recent proposals in the area are exposed accompanied by the results of the contest calling for innovative approaches to recognize activities of daily living (ADL) from a recently published data set.

  • CIP-297178-FATE - Fall Detector for the Elder

     Esposito, Gennaro; Cabestany Moncusi, Joan; Cortes Garcia, Claudio Ulises
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  • AAL Forum Award 2012

     Rovira Simón, Jordi; Cabestany Moncusi, Joan
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  • Dyskinesia and motor state detection in Parkinson's disease patients with a single movement sensor

     Sama Monsonis, Albert; Perez Lopez, Carlos; Rodriguez Martin, Daniel Manuel; Romagosa Cabús, Jaume; Català Mallofré, Andreu; Cabestany Moncusi, Joan; Pérez Martínez, David Andrés; Rodríguez Molinero, A.
    IEEE Engineering in Medicine and Biology Society
    p. 1194-1197
    DOI: 10.1109/EMBC.2012.6346150
    Presentation's date: 2012-08
    Presentation of work at congresses

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    Parkinson's Disease (PD) is a neurodegenerative disease that alters the patients' motor performance. Patients suffer many motor symptoms: bradykinesia, dyskinesia and freezing of gait, among others. Furthermore, patients alternate between periods in which they are able to move smoothly for some hours (ON state), and periods with motor complications (OFF state). An accurate report of PD motor states and symptoms will enable doctors to personalize medication intake and, therefore, improve response to treatment. Additionally, real-time reporting could allow an automatic management of PD by means of an automatic control of drug-administration pump doses. Such a system must be able to provide accurate information without disturbing the patients' daily life activities.

  • Fall Detector for the Elder

     Català Mallofré, Andreu; Moreno Arostegui, Juan Manuel; Sama Monsonis, Albert; Perez Lopez, Carlos; Cortes Garcia, Claudio Ulises; Martinez Velasco, Antonio Benito; Romagosa Cabús, Jaume; Rodriguez Martin, Daniel Manuel; Cabestany Moncusi, Joan
    Competitive project

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  • Personal Health Device for the Remote and Autonomous Management of

     Català Mallofré, Andreu; Moreno Arostegui, Juan Manuel; Perez Lopez, Carlos; Sama Monsonis, Albert; Sayeed, Taufique; Rodriguez Martin, Daniel Manuel; Cabestany Moncusi, Joan
    Competitive project

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  • Description of a fault tolerance system implemented in a hardware architecture with self-adaptive capabilities

     Soto, Javier; Moreno Arostegui, Juan Manuel; Cabestany Moncusi, Joan
    International Work-Conference on Artificial Neural Networks
    p. 557-564
    DOI: 10.1007/978-3-642-21498-1_70
    Presentation's date: 2011-06-09
    Presentation of work at congresses

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    This paper describes a Fault Tolerance System (FTS) implemented in a new self-adaptive hardware architecture. This architecture is based on an array of cells that implements in a distributed way self-adaptive capabilities. The cell includes a configurable multiprocessor, so it can have between one and four processors working in parallel, with a programmable configuration mode that allows selecting the size of program and data memories. The self-elimination and self-replication capabilities of cell(s) are performed when the FTS detects a failure in any of the processors that include it, so that this cell(s) will be self-discarded for future implementations. Other self-adaptive capabilities of the system are self-routing, self-placement and runtime self-configuration.

  • Complete Ambient Assisted Living Experiment-Market Validation (CAALYX-MV)

     Català Mallofré, Andreu; Cabestany Moncusi, Joan; Sama Monsonis, Albert; Llanas Parra, Francesc Xavier; Diaz Boladeras, Marta
    Competitive project

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  • CIP-ICT-PSP-2010-4, 250577 CAALIX-MW

     Angulo Bahón, Cecilio; Cabestany Moncusi, Joan; Llanas Parra, Francesc Xavier; Sama Monsonis, Albert; Perez Lopez, Carlos; Diaz Boladeras, Marta; Català Mallofré, Andreu
    Competitive project

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  • SISTEMA ON-LINE PARA COMPENSACIÓN DE ALTERACIONES DE LA MARCHA EN PERSONAS AFECTADAS DE PARKINSON

     Llanas Parra, Francesc Xavier; Raya Giner, Cristobal; Cabestany Moncusi, Joan; Perez Lopez, Carlos; Ferrer Arnau, Luis Jorge; Català Mallofré, Andreu
    Competitive project

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  • Prefaci edició del llibre d'actes del congrés IWANN 2011. LNCS 6691 i 6692

     Cabestany Moncusi, Joan; Rojas, Ignacio; Joya, Gonzalo
    International Work-Conference on Artificial Neural Networks
    p. I-IIII
    DOI: 10.1007/978-3-642-21498-1
    Presentation of work at congresses

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  • Method and device for detecting the On and Off states of a Parkinson patient

     Rodríguez Molinero, A.; Cabestany Moncusi, Joan; Català Mallofré, Andreu; Sama Monsonis, Albert; Gálvez Barrón, Cesar Pavel; Romagosa Cabús, Jaume; Pérez Martínez, David Andrés; Angulo Bahón, Cecilio; Perez Lopez, Carlos
    Date of request: 2010-08-01
    Invention patent

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  • Time series analysis of inertial-body signals for the extraction of dynamic properties from human gait

     Sama Monsonis, Albert; Pardo Ayala, Diego Esteban; Cabestany Moncusi, Joan; Rodríguez Molinero, A.
    IEEE World Congress on Computational Intelligence
    p. 3994-3998
    Presentation's date: 2010-07-19
    Presentation of work at congresses

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  • DESARROLLO EN ROBÓTICA SOCIAL PARA LA SALUD Y CALIDAD DE VIDA EN PERSONAS DEPENDIENTES

     Diaz Boladeras, Marta; Cabestany Moncusi, Joan; Pardo Ayala, Diego Esteban; Angulo Bahón, Cecilio
    Competitive project

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  • Home Empowered Living for Parkinson's disease Patiens (HELP)

     Angulo Bahón, Cecilio; Cabestany Moncusi, Joan; Català Mallofré, Andreu; Perez Lopez, Carlos; Bermejo Sanchez, Sergio
    Competitive project

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  • Preparació de propOsta CAALYX-MV (7PM-CIP)

     Llanas Parra, Francesc Xavier; Cabestany Moncusi, Joan; Angulo Bahón, Cecilio; Diaz Boladeras, Marta; Català Mallofré, Andreu
    Competitive project

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  • Monitorització de la movilitat de Malalts de PArkinson amb fins terapèutics

     Cabestany Moncusi, Joan; Perez Lopez, Carlos
    Competitive project

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  • BLOCKSAT-2: GUIADO Y POSICIONAMIENTO DE TRÁFICO FERROVIARIO CON SEGURIDAD INTRÍNSECA: SISTEMA DE BLOQUEO BASADO EN NAVEGACIÓN X SATÉ

     Comeron Tejero, Adolfo; Gelonch Bosch, Antoni; Jofre Roca, Luis; Romeu Robert, Jordi; Fuertes Armengol, José Mª; Cabestany Moncusi, Joan; Broquetas Ibars, Antoni
    Competitive project

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  • HOME-BASED EMPOWERED LIVING FOR PARKINSON'S DISEASENS PATIENTS

     Angulo Bahón, Cecilio; Sama Monsonis, Albert; Català Mallofré, Andreu; Pardo Ayala, Diego Esteban; Raya Giner, Cristobal; Perez Lopez, Carlos; Romagosa Cabús, Jaume; Rodriguez Martin, Daniel Manuel; Cabestany Moncusi, Joan
    Competitive project

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  • User Daily Activity Classification from Accelerometry Using Feature Selection and SVM

     Parera Giro, Jordi; Angulo Bahón, Cecilio; Cabestany Moncusi, Joan; Rodríguez-Molinero, A
    10th International Work-Conference on Artificial Neural Nerworks, IWANN 2009
    p. 1137-1144
    Presentation of work at congresses

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  • Implementation of a dynamic fault-tolerance scaling technique on a self-adaptive hardware architecture

     Soto Vargas, J.; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusi, Joan
    International Conference on ReConFigurable Computing and FPGAs
    p. 445-450
    Presentation of work at congresses

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  • Implementation of a dynamic fault-tolerance scaling technique on a self-adaptative hardware architecture

     Soto Vargas, J.; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusi, Joan
    2009 International Conference on ReConFigurable Computing and FPGAs
    p. 445-450
    Presentation of work at congresses

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  • Accelerometer signals analysis using SVM and decision tree in daily activity identification

     Parera Giro, Jordi; Angulo Bahón, Cecilio; Cabestany Moncusi, Joan
    6th Conference of the International Society for Gerontechnology
    p. 184
    Presentation of work at congresses

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  • Diseño de un Multiprocesador Configurable y de la Interfaz de Comunicaciones para una Arquitectura de Hardware Auto-Adaptable

     Vargas, Soto J; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusi, Joan
    JCRA 08 - VIII Jornadas de Computación Reconfigurable y Aplicaciones
    p. 295-305
    Presentation of work at congresses

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  • Communication Infrastructure for a Self-Adaptive Hardware Architecture

     Soto, J; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusi, Joan
    Reconfigurable Communication-centric Systems-on-Chip workshop 2008 - ReCoSoC'08
    p. 175-180
    Presentation of work at congresses

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  • On-Line Communication Mechanisms for Self-adaptative and Self-reconfigurable Systems

     Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusi, Joan; Katarina, Paulsson; Michael, Huebner I Juergen Becker
    Reconfigurable Communication-centric Systems-on-Chip workshop 2008 - ReCoSoC'08
    p. 93-100
    Presentation of work at congresses

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  • ZigBee communication when building a body sensor network for elderly people

     Parera Giro, Jordi; Angulo Bahón, Cecilio; Cabestany Moncusi, Joan
    6th Conference of the International Society for Gerontechnology
    p. 183
    Presentation of work at congresses

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  • Design of a Configurable Multiprocessor for a Self-Adaptive Hardware Architecture

     Vargas, Soto J; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusi, Joan
    Conference on Design of Circuits and Integrated Systems
    p. 1-6
    Presentation of work at congresses

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  • Complete Ambient Assisted Living Experiment (CAALYX)

     Català Mallofré, Andreu; Angulo Bahón, Cecilio; Diaz Boladeras, Marta; Cabestany Moncusi, Joan
    Competitive project

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  • Arquitectura Hardware para Sistemas Autoadaptativos

     Antonio, José Casas; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusi, Joan
    II Congreso Español de Informática. VII Jornadas de Computación Reconfigurable y Aplicaciones (JCRA'07)
    p. 171-178
    Presentation of work at congresses

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  • Servicio de gestión de información remota para actividades de la vida diaria adaptable a usuario

     Perez Lopez, Carlos; Català Mallofré, Andreu; Diaz Boladeras, Marta; Celma, M; Solana, M; Cabestany Moncusi, Joan
    Congreso Internacional sobre Domótica, Robótica y Teleasistencia para Todos
    Presentation of work at congresses

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  • A Novel Hardware Architecture for Self-adaptative Systems

     Antonio, José Casas; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusi, Joan
    2007 NASA/ESA Conference Adaptive Hardware and Systems
    p. 592-599
    Presentation of work at congresses

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  • INREDIS - Interfaces de relación entre el entorno y las personas con dscapacidad

     Cabestany Moncusi, Joan; Català Mallofré, Andreu
    Competitive project

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  • Computacional and Ambient Intelligence

     Sandoval, F; Prieto, A; Cabestany Moncusi, Joan; Graña, M
    International Work-Conference on Artificial Neural Networks
    p. 257-261
    Presentation of work at congresses

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  • Desarrollo de un sistema de Gestión de Información Remota para Identificación de Objetos de la vida cotidiana

     Carlos, Pérez; Rodríguez, Miquel; Comas, Joan; Català Mallofré, Andreu; Cabestany Moncusi, Joan
    Primeras Jornadas Científicas sobre RFID
    p. 249-258
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  • VSNs NMP4-CT-2006-031971 Voltage-Sensitive Plasmon-Resonant Nanoparticles, Novel Sensors for Neuron-populated Surfaces (VSNs)

     Claverol Tinture, Enrique; Rosell Ferrer, Francisco Javier; Cabestany Moncusi, Joan
    Competitive project

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