L'entorn de recerca principal del CETpD està centrat en el desenvolupament de nou coneixement en l'àmbit de les tecnologies hardware - software centrades en les persones amb l'objectiu de contribuir a la millora de qualitat de vida de malalts crònics, persones amb necessitats específiques i/o amb diversos graus de dependència. Un dels àmbits més específics de treball es concentra en la recerca de nous paradigmes relacionats amb el moviment humà, principalment en la detecció i actuació compensatòria de les disfuncions del moviment, com per exemple caigudes

http://futur.upc.edu/CETpD

CETpD's main research goal consists in the knowledge creation within the field of technology addressed to the dependency care area. In this way, the main interest is to improve the quality of life of people with dependency care assistance needs. Particularly, one of the main objectives relies on searching for new paradigms related to human movement analysis, usability and social robotics. CETpD directly cooperates with clinicians from several hospitals around Barcelona and some hospitals along Europe, developing research activities and projects in the dependency care area.

CETpD main research lines are:

Ambient Assisted Living and Pervasive Computing: create smart devices for both home and ambulatory monitoring of elderly people and patients with chronic diseases with tele-medicine and tele-care needs in order to assess gait, balance and falls. In this sense, CETpD has developed a wearable measurement unit for long-term monitoring of human movement. This measurement unit is being used to analyze human movement in the dependency care field.
Computational paradigms: develop soft-computing models, machine learning techniques and pervasive computing approaches addressed to the dependency care area.
Epidemiologic studies: CETpD performs, together with medical centers, clinical and epidemiologic studies on gait pathologies with the aim of knowing its causes and find new therapies that help to prevent its consequences in an effective way.
Social robotics: The priorities of this research line are three: (1) to develop new architectures of control and forms of signal processing which the robots allow to capture knowledge and being cognitive through the human-machine interaction; (2) to research in the more suitable forms of interaction, so they are motivating and satisfying for the user; and (3) to develop in an effective way robotic systems that are capable of supplying with personalised individual assistance to people with dependence (permanent, rehabilitation or convalescence).

http://futur.upc.edu/CETpD

CETpD's main research goal consists in the knowledge creation within the field of technology addressed to the dependency care area. In this way, the main interest is to improve the quality of life of people with dependency care assistance needs. Particularly, one of the main objectives relies on searching for new paradigms related to human movement analysis, usability and social robotics. CETpD directly cooperates with clinicians from several hospitals around Barcelona and some hospitals along Europe, developing research activities and projects in the dependency care area.

CETpD main research lines are:

Ambient Assisted Living and Pervasive Computing: create smart devices for both home and ambulatory monitoring of elderly people and patients with chronic diseases with tele-medicine and tele-care needs in order to assess gait, balance and falls. In this sense, CETpD has developed a wearable measurement unit for long-term monitoring of human movement. This measurement unit is being used to analyze human movement in the dependency care field.
Computational paradigms: develop soft-computing models, machine learning techniques and pervasive computing approaches addressed to the dependency care area.
Epidemiologic studies: CETpD performs, together with medical centers, clinical and epidemiologic studies on gait pathologies with the aim of knowing its causes and find new therapies that help to prevent its consequences in an effective way.
Social robotics: The priorities of this research line are three: (1) to develop new architectures of control and forms of signal processing which the robots allow to capture knowledge and being cognitive through the human-machine interaction; (2) to research in the more suitable forms of interaction, so they are motivating and satisfying for the user; and (3) to develop in an effective way robotic systems that are capable of supplying with personalised individual assistance to people with dependence (permanent, rehabilitation or convalescence).

http://futur.upc.edu/CETpD

Enviaments recents

  • 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
    Accés obert
    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 ...
  • 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
    Accés restringit per política de l'editorial
    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 ...
  • 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
    Accés obert
    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 ...
  • Estimating bradykinesia severity in Parkinson's disease by analysing gait through a waist-worn sensor 

    Samà Monsonís, Albert; Pérez López, Carlos; Rodríguez Martín, Daniel Manuel; Català Mallofré, Andreu; Moreno Aróstegui, Juan Manuel; Cabestany Moncusí, Joan; De Mingo Fernandez, Eva; Rodríguez Molinero, Alejandro (Elsevier, 2017-05-01)
    Article
    Accés restringit per acord de confidencialitat
    Bradykinesia is a cardinal symptom of Parkinson's disease (PD) and describes the slowness of movement revealed in patients. Current PD therapies are based on dopamine replacement, and given that bradykinesia is the symptom ...
  • Design of an on–chip hybrid DC/DC converter 

    Cosp Vilella, Jordi; Martínez García, Herminio (2015-07)
    Article
    Accés restringit per política de l'editorial
  • VLSI hybrid DC–DC regulator 

    Cosp Vilella, Jordi; Martínez García, Herminio (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Text en actes de congrés
    Accés obert
  • Comparative aspects in control strategies for hybrid DC/DC converters 

    Martínez García, Herminio; Cosp Vilella, Jordi (2016-05)
    Article
    Accés obert
  • Home detection of freezing of gait using Support Vector Machines through a single waist-worn triaxial accelerometer 

    Rodríguez Martín, Daniel Manuel; Samà Monsonís, Albert; Pérez López, Carlos; Català Mallofré, Andreu; Moreno Aróstegui, Juan Manuel; Cabestany Moncusí, Joan (2017-02-01)
    Article
    Accés obert
    Among Parkinson’s disease (PD) symptoms, freezing of gait (FoG) is one of the most debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations over weeks and months based on questionnaires, ...
  • Improving smartphones battery life by reducing energy waste of background applications 

    Bolla, Raffaele; Khan, Rafiullah; Llanas Parra, Francesc Xavier; Repetto, Matteo (2014)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Smartphones have undergone a remarkable evolution over the last few years, from simple calling devices to full fledged computing devices where multiple services and applications run concurrently. Unfortunately, battery ...
  • Training computationally efficient smartphone–based human activity recognition models 

    Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2013)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The exploitation of smartphones for Human Activity Recognition (HAR) has been an active research area in which the development of fast and efficient Machine Learning approaches is crucial for preserving battery life and ...

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