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  1. No Access

    Article

    Posture transition analysis with barometers: contribution to accelerometer-based algorithms

    Posture transitions are one of the most mechanically demanding tasks and are useful to evaluate the motor status of patients with motor impairments, frail individuals or the elderly, among others. So far, wear...

    Daniel Rodríguez-Martín, Albert Samà in Neural Computing and Applications (2020)

  2. Article

    Open Access

    Estimating dyskinesia severity in Parkinson’s disease by using a waist-worn sensor: concurrent validity study

    Our research team previously developed an accelerometry-based device, which can be worn on the waist during daily life activities and detects the occurrence of dyskinesia in patients with Parkinson’s disease. ...

    Alejandro Rodríguez-Molinero, Carlos Pérez-López, Albert Samà in Scientific Reports (2019)

  3. No Access

    Chapter and Conference Paper

    Deep Learning for Detecting Freezing of Gait Episodes in Parkinson’s Disease Based on Accelerometers

    Freezing of gait (FOG) is one of the most incapacitating symptoms among the motor alterations of Parkinson’s disease (PD). Manifesting FOG episodes reduce patients’ quality of life and their autonomy to perfor...

    Julià Camps, Albert Samà, Mario Martín in Advances in Computational Intelligence (2017)

  4. No Access

    Article

    Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients

    Freezing of gait (FOG) is a common motor symptom of Parkinson’s disease (PD), which presents itself as an inability to initiate or continue gait. This paper presents a method to monitor FOG episodes based only...

    Claas Ahlrichs, Albert Samà, Michael Lawo in Medical & Biological Engineering & Computi… (2016)

  5. Article

    Special issue on advances in computational intelligence and machine learning (IWANN 2013)

    Ignacio Rojas, Gonzalo Joya, Joan Cabestany in Soft Computing (2015)

  6. Article

    Advances in Artificial Neural Networks and Computational Intelligence

    Ignacio Rojas, Joan Cabestany, Andreu Catala in Neural Processing Letters (2015)

  7. No Access

    Chapter and Conference Paper

    Monitoring Motor Fluctuations in Parkinson’s Disease Using a Waist-Worn Inertial Sensor

    Parkinson’s disease (PD) is the second most common neurodegenerative disorder. First appreciable symptoms in PD are those related to an altered movement control. Current PD treatments temporally revert the sym...

    Carlos Pérez-López, Albert Samà in Advances in Computational Intelligence (2015)

  8. No Access

    Book and Conference Proceedings

    Advances in Computational Intelligence

    12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II

    Ignacio Rojas, Gonzalo Joya in Lecture Notes in Computer Science (2013)

  9. No Access

    Chapter and Conference Paper

    Identification of Postural Transitions Using a Waist-Located Inertial Sensor

    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 pati...

    Daniel Rodríguez Martín, Albert Samá in Advances in Computational Intelligence (2013)

  10. No Access

    Book and Conference Proceedings

    Advances in Computational Intelligence

    11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I

    Joan Cabestany, Ignacio Rojas in Lecture Notes in Computer Science (2011)

  11. No Access

    Book and Conference Proceedings

    Advances in Computational Intelligence

    11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II

    Joan Cabestany, Ignacio Rojas in Lecture Notes in Computer Science (2011)

  12. No Access

    Chapter and Conference Paper

    Description of a Fault Tolerance System Implemented in a Hardware Architecture with Self-adaptive Capabilities

    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 ...

    Javier Soto, Juan Manuel Moreno, Joan Cabestany in Advances in Computational Intelligence (2011)

  13. No Access

    Chapter

    AETHER: Self-Adaptive Networked Entities: Autonomous Computing Elements for Future Pervasive Applications and Technologies

    The ÆTHER project has laid the foundation of a complete new framework for designing and programming computing resources that live in changing ­environments and need to re-configure their objectives in a dynami...

    Christian Gamrat, Jean-Marc Philippe, Chris Jesshope in Reconfigurable Computing (2011)

  14. No Access

    Book and Conference Proceedings

    Bio-Inspired Systems: Computational and Ambient Intelligence

    10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I

    Joan Cabestany, Francisco Sandoval in Lecture Notes in Computer Science (2009)

  15. No Access

    Chapter and Conference Paper

    User Daily Activity Classification from Accelerometry Using Feature Selection and SVM

    User daily activity monitoring is useful for physicians in geriatrics and rehabilitation as a indicator of user health and mobility. Real time activities recognition by means of a processing node including a t...

    Jordi Parera, Cecilio Angulo in Bio-Inspired Systems: Computational and Am… (2009)

  16. No Access

    Book and Conference Proceedings

    Computational and Ambient Intelligence

    9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007. Proceedings

    Francisco Sandoval, Alberto Prieto in Lecture Notes in Computer Science (2007)

  17. No Access

    Book and Conference Proceedings

    Computational Intelligence and Bioinspired Systems

    8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005. Proceedings

    Joan Cabestany, Alberto Prieto in Lecture Notes in Computer Science (2005)

  18. No Access

    Chapter and Conference Paper

    Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays

    Traditional approaches to gas sensing are usually related with gas identification and classification, i.e., recognition of aromas. In this work we propose an innovative approach to determine the concentration ...

    Guillermo Bedoya, Sergi Bermejo in Computational Intelligence and Bioinspired… (2005)

  19. No Access

    Chapter and Conference Paper

    Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements

    In order to extract learning algorithms from living neural aggregates it would be advantageous to achieve one-to-one neuron-electrode interfacing with in vitro networks. Towards this goal, we have developed a ...

    Enric Claverol-Tinturé, Xavier Rosell in Computational Intelligence and Bioinspired… (2005)

  20. No Access

    Article

    Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers

    Ensemble learning is a well-established method for improving the generalization performance of learning machines. The idea is to combine a number of learning systems that have been trained in the same task. Ho...

    Sergio Bermejo, Joan Cabestany in Applied Intelligence (2004)

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