Now showing items 1-20 of 33

    • A double closed loop to enhance the quality of life of Parkinson's disease patients: REMPARK system 

      Samà Monsonís, Albert; Pérez López, Carlos; Rodríguez Martín, Daniel Manuel; Moreno Aróstegui, Juan Manuel; Rovira, Jordi; Ahlrichs, Claas; Castro, Rui; Cevada, Joao (IOS Press, 2014)
      Conference lecture
      Open Access
      This paper presents REMPARK system, a novel approach to deal with Parkinson's Disease (PD). REMPARK system comprises two closed loops of actuation onto PD. The first loop consists in a wearable system that, based on a ...
    • A heterogeneous database for movement knowledge extraction in Parkinson's disease 

      Samà Monsonís, Albert; Pérez López, Carlos; Rodríguez Martín, Daniel Manuel; Cabestany Moncusí, Joan; Moreno Aróstegui, Juan Manuel; Rodríguez Molinero, Alejandro (2013)
      Conference lecture
      Open Access
      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 ...
    • A kinematic sensor and algorithm to detect motor fluctuations in Parkinson disease: Validation study under real conditions of use 

      Rodríguez Molinero, Alejandro; Pérez López, Carlos; Samà Monsonís, Albert; Rodríguez Martín, Daniel Manuel; Català Mallofré, Andreu (JMIR, 2018-04-01)
      Article
      Open Access
    • A waist-worn inertial measurement unit for Parkinson’s disease long-term monitoring 

      Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Samà Monsonís, Albert; Català Mallofré, Andreu; Moreno Aróstegui, Juan Manuel; Cabestany Moncusí, Joan; Mestre, Berta; Alcaine, Sheila; Prats, Anna; Cruz Crespo, Mari; Bayés, Àngels (2017-04-11)
      Article
      Open Access
      Inertial 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 

      Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Samà Monsonís, Albert; Cabestany Moncusí, Joan; Català Mallofré, Andreu (2013-10-18)
      Article
      Open Access
      Human 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 

      Bayés, Àngels; Samà Monsonís, Albert; Prats París, Anna; Pérez López, Carlos; Moreno Aróstegui, Juan Manuel; Rodríguez Martín, Daniel Manuel; Cabestany Moncusí, Joan (2018-01-01)
      Article
      Open Access
      The 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 

      Samà Monsonís, Albert; Pérez López, Carlos; Cabestany Moncusí, Joan; Rodríguez Martín, Daniel Manuel; Moreno Aróstegui, Juan Manuel; Català Mallofré, Andreu (2015-03-31)
      Review
      Restricted access - confidentiality agreement
    • Algoritmos de monitorización de síntomas de la enfermedad de Parkinson [update] 

      Samà Monsonís, Albert; Pérez López, Carlos; Cabestany Moncusí, Joan; Rodríguez Martín, Daniel Manuel; Moreno Aróstegui, Juan Manuel; Català Mallofré, Andreu (2016-12-23)
      Review
      Restricted access - confidentiality agreement
    • Analysis of correlation between an accelerometer-Based algorithm for Detecting Parkinsonian gait and UPDRS subscales 

      Rodríguez Molinero, Alejandro; Samà Monsonís, Albert; Pérez López, Carlos; Rodríguez Martín, Daniel Manuel; Alcaine, Sheila; Mestre, Berta; Quispe, Paola; Giuliani, Benedetta; Vainstein, Gabriel; Browne, Patrick; Sweeney, Dean; Moreno Aróstegui, Juan Manuel; Bayés, Àngels; Lewy, Hadas; Costa, Alberto; Annicchiarico, Roberta; Counihan, Timothy; ÓLaighin, Gearóid; Cabestany Moncusí, Joan (2017-09-01)
      Article
      Open Access
      Background: 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 ...
    • Assessing motor fluctuations in Parkinson’s disease patients based on a single inertial sensor 

      Pérez López, Carlos; Samà Monsonís, Albert; Rodríguez Martín, Daniel Manuel; Català Mallofré, Andreu; Cabestany Moncusí, Joan; Moreno Aróstegui, Juan Manuel; De Mingo Fernandez, Eva; Rodríguez Molinero, Alejandro (2016-12-15)
      Article
      Open Access
      Altered 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 ...
    • Basketball activity recognition using wearable inertial measurement units 

      Nguyen, Le Nguyen Ngu; Rodríguez Martín, Daniel Manuel; Català Mallofré, Andreu; Pérez López, Carlos; Samà Monsonís, Albert; Cavallaro, Andrea (Association for Computing Machinery (ACM), 2015)
      Conference report
      Open Access
      The analysis and evaluation of human movement is a growing research area within the field of sports monitoring. This analysis can help support the enhancement of an athlete's performance, the prediction of injuries or the ...
    • Contribución al análisis del movimiento humano aplicado a la identificación de posturas y bloqueos de la marcha en pacientes con Parkinson 

      Rodríguez Martín, Daniel Manuel (Universitat Politècnica de Catalunya, 2014-05-21)
      Doctoral thesis
      Open Access
      The following dissertation presents the contributions of the author in the field of human movement analysis and, specifically, in Parkinson's disease. Recent technologies have allowed developing reduced inertial sensors ...
    • Deep learning for detecting freezing of gait episodes in Parkinson’s disease based on accelerometers 

      Camps Sereix, Julià; Samà Monsonís, Albert; Martín Muñoz, Mario; Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Alcaine, Sheila; Mestre, Berta; Prats, Anna; Crespo, M. Cruz; Cabestany Moncusí, Joan; Bayés, Àngels; Català Mallofré, Andreu (2017)
      Conference report
      Open Access
      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 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 

      Camps Sereix, Julià; Samà Monsonís, Albert; Martín Muñoz, Mario; Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Moreno Aróstegui, Juan Manuel; Cabestany Moncusí, Joan; Català Mallofré, Andreu; Alcaine, Sheila; Mestre, Berta; Prats, Anna; Crespo, M. Cruz; Counihan, Timothy; Browne, Patrick; Quinlan, Leo R.; ÓLaighin, Gearóid; Sweeney, Dean; Lewy, Hadas; Vainstein, Gabriel; Costa, Alberto; Annicchiarico, Roberta; Bayés, Àngels; Rodríguez Molinero, Alejandro (2017-10-16)
      Article
      Open Access
      Among 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 ...
    • Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients 

      Ahlrichs, Claas; Samà Monsonís, Albert; Lawo, Michael; Cabestany Moncusí, Joan; Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Quinlan, Leo R.; ÓLaighin, Gearóid; Counihan, Timothy; Lewy, Hadas; Annicchiarico, Roberta; Bayés, Àngels; Rodríguez Molinero, Alejandro (2015-10-01)
      Article
      Open Access
      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 on acceleration ...
    • Determining the optimal features in freezing of gait detection through a single waist accelerometer in home environments 

      Samà Monsonís, Albert; Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Català Mallofré, Andreu; Alcaine, Sheila; Mestre, Berta; Prats, Anna; Crespo, M. Cruz; Bayés, Àngels (Elsevier, 2017-05-17)
      Article
      Open Access
      Freezing of gait (FoG) is one of the most disturbing and incapacitating symptoms in Parkinson's disease. It is defined as a sudden block in effective stepping, provoking anxiety, stress and falls. FoG is usually evaluated ...
    • Disseny i desenvolupament d'un equip de test funcional 

      Rodríguez Martín, Daniel Manuel (Universitat Politècnica de Catalunya, 2009-02)
      Master thesis (pre-Bologna period)
      Open Access
      El projecte consisteix en dissenyar i desenvolupar tot un equip de test funcional, és a dir, un equip que comprova pistes i relés d'altres plaques de circuits electrònics. El projecte ha estat desenvolupat en el marc ...
    • Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer 

      Pérez López, Carlos; Samà Monsonís, Albert; Rodríguez Martín, Daniel Manuel; Moreno Aróstegui, Juan Manuel; Cabestany Moncusí, Joan; Bayés, Àngels; ÓLaighin, Gearóid; Quinlan, Leo R.; Counihan, Timothy; Annicchiarico, Roberta; Lewy, Hadas; Rodríguez Molinero, Alejandro (2016-01-14)
      Article
      Open Access
      Background After several years of treatment, patients with Parkinson's disease (PD) tend to have, as a side effect of the medication, dyskinesias. Close monitoring may benefit patients by enabling doctors to tailor a ...
    • Electrodermal Activity: Explorations in the Psychophysiology of Engagement with Social Robots in Dementia 

      Perugia, Giulia; Rodríguez Martín, Daniel Manuel; Díaz Boladeras, Marta; Català Mallofré, Andreu; Barakova, Emilia; Rauterberg, Mattias (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference lecture
      Open Access
      The study of engagement is central to improve the quality of care and provide people with dementia with meaningful activities. Current assessment techniques of engagement for people with dementia rely exclusively on behavior ...
    • Enhancing FoG detection by means of postural context using a waist accelerometer 

      Rodríguez Martín, Daniel Manuel; Samà Monsonís, Albert; Pérez López, Carlos; Cabestany Moncusí, Joan; Català Mallofré, Andreu; Rodríguez Molinero, Alejandro (2014)
      Conference report
      Open Access