Now showing items 1-6 of 6

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

      Rodríguez Molinero, Alejandro; Pérez López, Carlos; Samà Monsonís, Albert; Rodríguez Martín, Daniel Manuel; Mestre, Berta; Quispe, Paola; Giuliani, Benedetta; Vainstein, Gabriel; Browne, Patrick; Sweeney, Dean; Quinlan, Leo R.; Moreno Aróstegui, Juan Manuel; Bayés, Àngels; Lewy, Hadas; Costa, Alberto; Annicchiarico, Roberta; Counihan, Timothy; ÓLaighin, Gearóid; Cabestany Moncusí, Joan (Nature, 2019-09-17)
      Article
      Open Access
      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. The goal of ...