Paloma Moreta-de-Esteban

Mrs. Paloma Moreta-de-Esteban

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 March 2023 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
PMPaloma Moreta-de-Esteban
Paloma Moreta-de-Esteban
PMPatricia Martín-Casas
Patricia Martín-Casas
RORosa María Ortiz-Gutiérrez
Rosa María Ortiz-Gutiérrez
Sofia StraudiSofia Straudi
Sofia Straudi
Roberto Cano de la CuerdaRoberto Cano de la Cuerda
Roberto Cano de la Cuerda
(1) Background: Resting tremor is a motor manifestation present in most Parkinson’s disease (PD) patients. For its assessment, several scales have been created, but mobile applications could help in objectively assessing resting tremor in PD patients in person and/or remotely in a more ecological scenario. (2) Methods: a systematic review following the PRISMA recommendations was conducted in scientific databases (PubMed, Medline, Science Direct, Academic Search Premier, and Web of Science) and in the main mobile application markets (Google Play, iOS App Store, and Windows Store) to determine the applications available for the assessment of resting tremor in patients with PD using only the measurement components of the phone itself (accelerometers and gyroscopes). (3) Results: 14 articles that used mobile apps to assess resting tremor in PD were included, and 13 apps were identified in the mobile application markets for the same purpose. The risk of bias and of applicability concerns of the articles analyzed was low. Mobile applications found in the app markets met an average of 85.09% of the recommendations for the development of medical mobile applications. (4) Conclusions: the use of mobile applications for the evaluation of resting tremor in PD patients has great potential, but validation studies for this purpose are scarce.

18 November 2022 in Anales del Sistema Sanitario de Navarra
Verified
Journal Article
Open access
MYMaría Del Cuvillo Yges
María Del Cuvillo Yges
AEAdrián Arranz Escudero
Adrián Arranz Escudero
PMPaloma Moreta-de-Esteban
Paloma Moreta-de-Esteban
JLJose Javier López-Marcos
Jose Javier López-Marcos
PMPatricia Martín-Casas
Patricia Martín-Casas
La rehabilitación cognitiva multisensorial (RCM) es un tratamiento para la recuperación del movimiento a través de ejercicios neurocognitivos que activan los procesos perceptivos y cognitivos del paciente fundamentales para el aprendizaje motor. El objetivo de la revisión fue evaluar la eficacia de la RCM sobre funcionalidad y calidad de vida en pacientes adultos y pediátricos en comparación con otras intervenciones o la no intervención. Se realizó una revisión sistemática de ensayos clínicos controlados aleatorizados, estudios piloto y series de casos, publicados entre 2012 y 2021 en las bases de datos PubMed, PEDro, Cochrane Library y CINHAL Complete. Diez estudios cumplieron los criterios de elegibilidad. La RCM muestra beneficios similares o superiores a otras intervenciones sobre la funcionalidad del miembro superior, la marcha, el equilibrio y la calidad de vida en pacientes neurológicos y traumatológicos. Se necesitan más estudios con mayores muestras y calidad para valorar los efectos a largo plazo.

21 April 2025 in Sensors
Verified
Journal Article
Open access
PDF file
RORosa María Ortiz-Gutiérrez
Rosa María Ortiz-Gutiérrez
JLJose Javier López-Marcos
Jose Javier López-Marcos
JOSÉ LUIS MATÉ MUÑOZJOSÉ LUIS MATÉ MUÑOZ
JOSÉ LUIS MATÉ MUÑOZ
PMPaloma Moreta-de-Esteban
Paloma Moreta-de-Esteban
PMPatricia Martín-Casas
Patricia Martín-Casas
Wearable monitoring devices, such as smart bands, have emerged as accessible and non-invasive tools for assessing physiological and spatiotemporal gait parameters in various clinical tests. This study aimed to validate the use of the Xiaomi Mi Band 6 for recording gait parameters during the six-minute walk test (6MWT). Seventy participants without gait impairments were recruited, and the measurements obtained with the smart band were compared to reference methods (evaluator, pedometer, and pulse oximeter). The physiological parameter results showed that the smart band demonstrated good accuracy in heart rate monitoring but lower agreement in oxygen saturation measurements. Gait parameters indicated excellent agreement in step count (ICC > 0.9) and step frequency (ICC > 0.75), whereas step length and distance estimations showed higher variability. These findings suggest that the Xiaomi Mi Band 6 is a viable alternative for measuring specific gait parameters, though with limitations in certain aspects of accuracy.