Browsing by Author "Cabestany Moncusí, Joan"
Now showing items 1-20 of 48
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A heterogeneous database for movement knowledge extraction in Parkinson's disease
(2013)
Conference lecture
Open AccessThis 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 ... -
A new paradigm in Parkinson's disease evaluation with wearable medical devices: a review of STAT-ONTM
(Frontiers Media SA, 2022-06-02)
Article
Open AccessIn the past decade, the use of wearable medical devices has been a great breakthrough in clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is time limited, and healthcare ... -
A self-adaptive hardware architecture with fault tolerance capabilities
(2013-12-09)
Article
Restricted access - publisher's policyThis 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. ... -
A waist-worn inertial measurement unit for Parkinson’s disease long-term monitoring
(2017-04-11)
Article
Open AccessInertial measurement units (IMUs) are devices used, among other fields, in health applications, since they are light, small and effective. More concretely, IMUs have demonstrated to accurately monitor motor symptoms of ... -
A wearable inertial measurement unit for long-term monitoring in the dependency care area
(2013-10-18)
Article
Open AccessHuman movement analysis is a field of wide interest since it enables the assessment of a large variety of variables related to quality of life. Human movement can be accurately evaluated through Inertial Measurement Units ... -
A “HOLTER” for Parkinson's disease: validation of the ability to detect on-off states using the REMPARK system
(2018-01-01)
Article
Open AccessThe treatment of Parkinson's disease (PD) with levodopa is very effective. However, over time, motor complications (MCs) appear, restricting the patient from leading a normal life. One of the most disabling MCs is ON-OFF ... -
Algoritmos de monitorización de síntomas de la enfermedad de Parkinson
(2015-03-31)
Review
Restricted access - confidentiality agreement -
Algoritmos de monitorización de síntomas de la enfermedad de Parkinson [update]
(2016-12-23)
Review
Restricted access - confidentiality agreement -
Analysis of correlation between an accelerometer-Based algorithm for Detecting Parkinsonian gait and UPDRS subscales
(2017-09-01)
Article
Open AccessBackground: Our group earlier developed a small monitoring device, which uses accelerometer measurements to accurately detect motor fluctuations in patients with Parkinson’s (On and Off state) based on an algorithm that ... -
Analyzing human gait and posture by combining feature selection and kernel methods
(2011-09)
Article
Open AccessThis paper evaluates a set of computational algorithms for the automatic estimation of human postures and gait properties from signals provided by an inertial body sensor. The use of a single sensor device imposes ... -
Artificial intelligence contribution to eHealth application
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Restricted access - publisher's policyA presentation of the eHealth related concepts and challenges is done, together with an analysis on how the use of the Artificial Intelligence (AI) techniques can improve the management of the data generated by the eHealth ... -
Assessing motor fluctuations in Parkinson’s disease patients based on a single inertial sensor
(2016-12-15)
Article
Open AccessAltered movement control is typically the first noticeable symptom manifested by Parkinson’s disease (PD) patients. Once under treatment, the effect of the medication is very patent and patients often recover correct ... -
Bio-inspired systems. Computational and ambient intelligence
(2011-09)
Article
Restricted access - publisher's policyIn the present issue of Neurocomputing, it is apleasure to present you a collection of 12 extended versions of selected papers from the 10 the dition of the International Work Conference on Artificial Neural Networks ... -
Comparative and adaptation of step detection and step length estimators to a lateral belt worn accelerometer
(2013)
Conference lecture
Restricted access - publisher's policyParkinson’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 ... -
Comparison and adaptation of step length and gait speed estimators from single belt worn accelerometer positioned on lateral side of the body
(2013)
Conference lecture
Restricted access - publisher's policyParkinson’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 ... -
Deep learning for detecting freezing of gait episodes in Parkinson’s disease based on accelerometers
(2017)
Conference report
Open AccessFreezing 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 perform daily living ... -
Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit
(2017-10-16)
Article
Open AccessAmong Parkinson’s disease (PD) motor symptoms, freezing of gait (FOG) may be the most incapacitating. FOG episodes may result in falls and reduce patients’ quality of life. Accurate assessment of FOG would provide objective ... -
Description of a fault tolerance system implemented in a hardware architecture with self-adaptive capabilities
(Springer Verlag, 2011)
Conference report
Restricted access - publisher's policyThis 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. ... -
Detección de caídas mediante acelerometría
(2013-07-16)
Review
Restricted access - confidentiality agreementLa detección de caídas mediante un sensor basado en microcontrolador y un sensor de aceleración triaxial, se basa en detectar un patrón en la señal medida por el acelerómetro durante una caída -
Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients
(2015-10-01)
Article
Open AccessFreezing 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 on acceleration ...
