Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Angels Bayes"'
Autor:
Joan Cabestany, Angels Bayés
A new information and communication technology (ICT) has been deployed in the battle against Parkinson's disease, a neurodegenerative disorder that is both progressive and disabling with significant impact on quality of life. This book explains the e
Autor:
Joan Cabestany, Angels Bayes
Parkinson's Disease (PD) is a neurodegenerative disorder that manifests with motor and non-motor symptoms. PD treatment is symptomatic and tries to alleviate the associated symptoms through an adjustment of the medication. As the disease is evolving
Autor:
Martín Martínez, Mikel Ariz, Ignacio Alvarez, Gabriel Castellanos, Miquel Aguilar, Jorge Hernández-Vara, Núria Caballol, Alicia Garrido, Àngels Bayés, Dolores Vilas, Maria Jose Marti, the Catalonian Neuroimaging Parkinson’s disease Consortium, Pau Pastor, Carlos Ortiz de Solórzano, Maria A. Pastor
Publikováno v:
npj Parkinson's Disease, Vol 9, Iss 1, Pp 1-11 (2023)
Abstract Neuromelanin (NM) loss in substantia nigra pars compacta (SNc) and locus coeruleus (LC) reflects neuronal death in Parkinson’s disease (PD). Since genetically-determined PD shows varied clinical expressivity, we wanted to accurately quanti
Externí odkaz:
https://doaj.org/article/a087f460b3284928afe2ced2222ff939
Autor:
Angels Bayes, Joan Cabestany
Parkinson’s Disease (PD) is a neurodegenerative disorder that manifests with motor and non-motor symptoms. PD treatment is symptomatic and tries to alleviate the associated symptoms through an adjustment of the medication. As the disease is evolvin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05256ebcf87e8b3b7cc9ca2ba3d730ce
https://zenodo.org/record/826523
https://zenodo.org/record/826523
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0279910 (2023)
BackgroundWearable sensors-based systems have emerged as a potential tool to continuously monitor Parkinson's Disease (PD) motor features in free-living environments.ObjectivesTo analyse the responsivity of wearable inertial sensor (WIS) measures (On
Externí odkaz:
https://doaj.org/article/c89ea9ea9bf24510be3b8522002871f5
Autor:
Esther, Cubo, Pablo, Martinez Martin, Miguel, Gonzalez, Alberto, Bergareche, Victor, Campos, José Manuel, Fernández, María, Alvárez, Angels, Bayes, I, Ybot
Publikováno v:
Disability and rehabilitation. 32(5)
To determine the most significant clinical predictors that influence driving ability in Parkinson disease (PD).National-multi-centre, cross-sectional study covering PD outpatients. Clinical assessment was based on the following questionnaires: cognit
Autor:
Carlos Pérez-López, Jorge Hernández-Vara, Nuria Caballol, Àngels Bayes, Mariateresa Buongiorno, Núria Lopez-Ariztegui, Alexandre Gironell, José López-Sánchez, Juan Carlos Martínez-Castrillo, Alvarez Sauco M, Lydia López-Manzanares, Sonia Escalante-Arroyo, David A. Pérez-Martínez, Alejandro Rodríguez-Molinero, The MoMoPa-EC Research Group
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
BackgroundFor specialists in charge of Parkinson's disease (PD), one of the most time-consuming tasks of the consultations is the assessment of symptoms and motor fluctuations. This task is complex and is usually based on the information provided by
Externí odkaz:
https://doaj.org/article/c211efdb2560452e919c523759bc5273
Autor:
Juan Carlos Martinez-Castrillo, Maria Alvarez, Dolores Vilas, Ernest Balaguer, Ignacio Alvarez, Jon Infante, Silvia Jesús, Marina Mata, Pablo Mir, Pau Pastor, María Sierra, Lydia Vela, Isabel Gonzalez, Ana Rita Santos, Daniel Lopez, Antonio Hernández, Francisco Perez, Nuria Caballol, Antonio Salvador, Judith Jimenez, Alejandro Rodríguez-Molinero, Jorge Hernández-Vara, Antonio Miñarro, Carlos Pérez-López, Àngels Bayes-Rusiñol, David A Pérez-Martínez, Anna Planas-Ballvé, Mariateresa Buongiorno, Núria López, Mª Isabel Morales, Gema Sánchez, María Asunción Ávila, Anna Prats, Alexandre Gironell, Álvaro Sánchez-Ferro, Antonio Méndez, Elisabet Franquet, Sonia Escalante, Laura Muñoz-Delgado, Daniel Macías-García, Astrid Adarmes-Gómez, José Mª Salom, Silvia Martí, Carlos Leiva, Victor M. Puente, Irene Navalpotro, Sara Lucas, Antonio Koukoulis, Mª Gema Alonso, Mª Esther Cubo, Mª Victoria Sánchez, Carmen Borrúe, Mª Concepción Jimeno, Mª José Gómez, Lina Carazo, Alfredo López, Mª Pilar Solís, Rubén Alonso, Jessica González, Javier Ruiz, Ana Vinagre, Ioana Croitoru, Pilar Sánchez, Elisa Gamo, Sabela Novo, Esteban Peña, Esther Blanco, Rafael García, José López, Teresa Muñoz, Lucía Flores, Rocío García-Ramos, Eva López, Lourdes Ispierto, Ramiro Álvarez, Esther Catena, Berta Solano, Anna Cots, Lydia López Manzanares, Marta Recio-Bermejo
Publikováno v:
BMJ Open, Vol 11, Iss 7 (2021)
Introduction In recent years, multiple studies have aimed to develop and validate portable technological devices capable of monitoring the motor complications of Parkinson’s disease patients (Parkinson’s Holter). The effectiveness of these monito
Externí odkaz:
https://doaj.org/article/fd3438f87c0a4f889a7069c57d6375b5
Autor:
Alejandro Rodríguez-Molinero, Albert Samà, Carlos Pérez-López, Daniel Rodríguez-Martín, Sheila Alcaine, Berta Mestre, Paola Quispe, Benedetta Giuliani, Gabriel Vainstein, Patrick Browne, Dean Sweeney, Leo R. Quinlan, J. Manuel Moreno Arostegui, Àngels Bayes, Hadas Lewy, Alberto Costa, Roberta Annicchiarico, Timothy Counihan, Gearòid Ò. Laighin, Joan Cabestany
Publikováno v:
Frontiers in Neurology, Vol 8 (2017)
Externí odkaz:
https://doaj.org/article/f0e7bfad4a95469eb85469aeb7cca684
Autor:
Alejandro Rodríguez-Molinero, Albert Samà, Carlos Pérez-López, Daniel Rodríguez-Martín, Sheila Alcaine, Berta Mestre, Paola Quispe, Benedetta Giuliani, Gabriel Vainstein, Patrick Browne, Dean Sweeney, Leo R. Quinlan, J. Manuel Moreno Arostegui, Àngels Bayes, Hadas Lewy, Alberto Costa, Roberta Annicchiarico, Timothy Counihan, Gearòid Ò. Laighin, Joan Cabestany
Publikováno v:
Frontiers in Neurology, Vol 8 (2017)
BackgroundOur 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 characterizes gait through the
Externí odkaz:
https://doaj.org/article/9b93e1ff12714579bf24f5e72037fdc7