Joan Cabestany

Orcid: 0000-0002-6926-3322

According to our database1, Joan Cabestany authored at least 83 papers between 1991 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders.
Sensors, 2020

Posture transition analysis with barometers: contribution to accelerometer-based algorithms.
Neural Comput. Appl., 2020

2018
Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit.
Knowl. Based Syst., 2018

Artificial Intelligence Contribution to eHealth Application.
Proceedings of the 25th International Conference "Mixed Design of Integrated Circuits and System", 2018

2017
A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson's Disease Patients.
Sensors, 2017

Estimating bradykinesia severity in Parkinson's disease by analysing gait through a waist-worn sensor.
Comput. Biol. Medicine, 2017

Self-adaptive hardware architecture with parallel processing capabilities and dynamic reconfiguration.
Proceedings of the 16th Workshop on Adaptive and Reflective Middleware, 2017

Deep Learning for Detecting Freezing of Gait Episodes in Parkinson's Disease Based on Accelerometers.
Proceedings of the Advances in Computational Intelligence, 2017

2016
Assessing Motor Fluctuations in Parkinson's Disease Patients Based on a Single Inertial Sensor.
Sensors, 2016

Detecting freezing of gait with a tri-axial accelerometer in Parkinson's disease patients.
Medical Biol. Eng. Comput., 2016

Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer.
Artif. Intell. Medicine, 2016

2015
Posture detection based on a waist-worn accelerometer: an application to improve Freezing of Gait detection in Parkinson's disease patients.
Proceedings of the Recent Advances in Ambient Assisted Living, 2015

Special issue on advances in computational intelligence and machine learning (IWANN 2013).
Soft Comput., 2015

Advances in Artificial Neural Networks and Computational Intelligence - Special Issue of IWANN 2013.
Neural Process. Lett., 2015

Posture transition identification on PD patients through a SVM-based technique and a single waist-worn accelerometer.
Neurocomputing, 2015

Monitoring Motor Fluctuations in Parkinson's Disease Using a Waist-Worn Inertial Sensor.
Proceedings of the Advances in Computational Intelligence, 2015

2014
A double closed loop to enhance the quality of life of Parkinson's Disease patients: REMPARK system.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

2013
Advances in computational intelligence.
Soft Comput., 2013

A Wearable Inertial Measurement Unit for Long-Term Monitoring in the Dependency Care Area.
Sensors, 2013

Preface.
Neural Process. Lett., 2013

A self-adaptive hardware architecture with fault tolerance capabilities.
Neurocomputing, 2013

Gait identification by means of box approximation geometry of reconstructed attractors in latent space.
Neurocomputing, 2013

SVM-based posture identification with a single waist-located triaxial accelerometer.
Expert Syst. Appl., 2013

REMPARK: When AI and technology meet Parkinson Disease assessment.
Proceedings of the 20th International Conference Mixed Design of Integrated Circuits and Systems, 2013

FATE: One step towards an automatic aging people fall detection service.
Proceedings of the 20th International Conference Mixed Design of Integrated Circuits and Systems, 2013

Identification of Postural Transitions Using a Waist-Located Inertial Sensor.
Proceedings of the Advances in Computational Intelligence, 2013

Comparative and adaptation of step detection and step length estimators to a lateral belt worn accelerometer.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

A heterogeneous database for movement knowledge extraction in Parkinson's disease.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement.
Expert Syst. Appl., 2012

A System for Inference of Spatial Context of Parkinson's Disease Patients.
Proceedings of the pHealth 2012, 2012

Dyskinesia and motor state detection in Parkinson's Disease patients with a single movement sensor.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Analyzing human gait and posture by combining feature selection and kernel methods.
Neurocomputing, 2011

Bio-inspired systems: Computational and ambient intelligence.
Neurocomputing, 2011

Description of a Fault Tolerance System Implemented in a Hardware Architecture with Self-adaptive Capabilities.
Proceedings of the Advances in Computational Intelligence, 2011

2010
Time series analysis of inertial-body signals for the extraction of dynamic properties from human gait.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Computational and ambient intelligence.
Neurocomputing, 2009

Implementation of a Dynamic Fault-Tolerance Scaling Technique on a Self-Adaptive Hardware Architecture.
Proceedings of the ReConFig'09: 2009 International Conference on Reconfigurable Computing and FPGAs, 2009

User Daily Activity Classification from Accelerometry Using Feature Selection and SVM.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2007
Multisite Recording of Extracellular Potentials Produced by Microchannel-Confined Neurons In-Vitro.
IEEE Trans. Biomed. Eng., 2007

Computational intelligence and bioinspired systems.
Neurocomputing, 2007

Technical steps towards one-to-one electrode-neuron interfacing with neural circuits reconstructed in vitro.
Neurocomputing, 2007

A Novel Hardware Architecture for Self-adaptive Systems.
Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007

2005
Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2004
Ensemble Learning for Chemical Sensor Arrays.
Neural Process. Lett., 2004

Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers.
Appl. Intell., 2004

2003
Virtual Labs for Neural Networks E-courses.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Comparison of neural algorithms for blind source separation in sensor array applications.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
The effect of finite sample size on on-line K-means.
Neurocomputing, 2002

2001
A temporal bipartitioning algorithm for dynamically reconfigurable FPGAs.
IEEE Trans. Very Large Scale Integr. Syst., 2001

Learning with Nearest Neighbour Classifiers.
Neural Process. Lett., 2001

Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm.
Neural Process. Lett., 2001

Oriented principal component analysis for large margin classifiers.
Neural Networks, 2001

Large Margin Nearest Neighbor Classifiers.
Proceedings of the Connectionist Models of Neurons, 2001

An In-System Routing Strategy For Evolvable Hardware Programmable Platforms.
Proceedings of the 3rd NASA / DoD Workshop on Evolvable Hardware (EH 2001), 2001

2000
Adaptive soft k-nearest-neighbour classifiers.
Pattern Recognit., 2000

A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification.
Neural Process. Lett., 2000

Mixed-signal VLSI for neural and fuzzy sequential processors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Implementation of Virtual Circuits by Means of the FIPSOC Devices.
Proceedings of the Field-Programmable Logic and Applications, 2000

1999
Adaptive soft k-nearest-neighbor classifiers.
Pattern Recognit., 1999

The Role of Dynamic Reconfiguration for Implementing Artificial Neural Networks Models in Programmable Hardware.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

A Bipartitioning Algorithm for Dynamic Reconfigurable Programmable Logic.
Proceedings of the Field-Programmable Logic and Applications, 9th International Workshop, 1999

Realization of Self-Repairing and Evolvable Hardware Structures by Means of Implicit Self-Configuration.
Proceedings of the 1st NASA / DoD Workshop on Evolvable Hardware (EH '99), 1999

1998
Feasible Evolutionary and Self-Repairing Hardware by Means of the Dynamic Reconfiguration Capabilities of the FIPSOC Devices.
Proceedings of the Evolvable Systems: From Biology to Hardware, 1998

A new dynamic LVQ-based classifier and its application to handwritten character recognition.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997
Using Classical and Evolutive Neural Models in Industrial Applications: A Case Study for an Automatic Coin Classifier.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Synthesis and Optimization of a Bit-Serial Pipeline Kernel Processor.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Improving the Performance of Piecewise Linear Separation Incremental Algorithms for Practical Hardware Implementations.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Practical Design Methodology for Commercial Automatic Coin Recognizers Based on Neural Decision Engines.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation.
Proceedings of the Artificial Neural Networks, 1997

A new field programmable system-on-a-chip for mixed signal integration.
Proceedings of the European Design and Test Conference, 1997

1995
Digital Hardware Implementation of ROI Incremental Algorithms.
Proceedings of the From Natural to Artificial Neural Computation, 1995

A Coprocessor Card for Fast Neural Network Emulation.
Proceedings of the From Natural to Artificial Neural Computation, 1995

A deterministic method for establishing the initial conditions in the RCE algorithm.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1994
An analog systolic neural processing architecture.
IEEE Micro, 1994

Improving piecewise linear separation incremental algorithms using complexity reduction methods.
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994

1993
Optimiized Learning for Improving the Evolution of Piecewise Linear Separation Incremental Algorithms.
Proceedings of the New Trends in Neural Computation, 1993

Region of Influence (ROI) Networks. Model and Implementation.
Proceedings of the New Trends in Neural Computation, 1993

Enhanced unit training for piecewise linear seperation incremental algorithms.
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993

1991
An Integrated Circuit for Artificial Neural Networks.
Proceedings of the Artificial Neural Networks, 1991


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