Jose M Azorin
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Explore the profile of Jose M Azorin including associated specialties, affiliations and a list of published articles.
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44
Citations
278
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Recent Articles
1.
Ferrero L, Soriano-Segura P, Navarro J, Jones O, Ortiz M, Ianez E, et al.
J Neuroeng Rehabil
. 2024 Apr;
21(1):48.
PMID: 38581031
Background: This research focused on the development of a motor imagery (MI) based brain-machine interface (BMI) using deep learning algorithms to control a lower-limb robotic exoskeleton. The study aimed to...
2.
Juan J, Martinez R, Ianez E, Ortiz M, Tornero J, Azorin J
Front Neuroinform
. 2024 Mar;
18:1345425.
PMID: 38486923
Introduction: In recent years, the decoding of motor imagery (MI) from electroencephalography (EEG) signals has become a focus of research for brain-machine interfaces (BMIs) and neurorehabilitation. However, EEG signals present...
3.
Gracia D, Ortiz M, Candela T, Ianez E, Sanchez R, Diaz C, et al.
Sensors (Basel)
. 2023 Jul;
23(13).
PMID: 37447728
A new pandemic was declared at the end of 2019 because of coronavirus disease 2019 (COVID-19). One of the effects of COVID-19 infection is anosmia (i.e., a loss of smell)....
4.
Ortiz M, de la Ossa L, Juan J, Ianez E, Torricelli D, Tornero J, et al.
Sci Data
. 2023 Jun;
10(1):343.
PMID: 37268619
One important point in the development of a brain-machine Interface (BMI) commanding an exoskeleton is the assessment of the cognitive engagement of the subject during the motor imagery tasks conducted....
5.
Ferrero L, Quiles V, Ortiz M, Ianez E, Gil-Agudo A, Azorin J
iScience
. 2023 May;
26(5):106675.
PMID: 37250318
This study explores the use of a brain-computer interface (BCI) based on motor imagery (MI) for the control of a lower limb exoskeleton to aid in motor recovery after a...
6.
Quiles V, Ferrero L, Ianez E, Ortiz M, Gil-Agudo A, Azorin J
Front Neurosci
. 2023 Mar;
17:1154480.
PMID: 36998726
Introduction: Brain-machine interfaces (BMIs) attempt to establish communication between the user and the device to be controlled. BMIs have great challenges to face in order to design a robust control...
7.
Munoz D, Barria P, Cifuentes C, Aguilar R, Baleta K, Azorin J, et al.
Biosensors (Basel)
. 2022 Sep;
12(9).
PMID: 36140136
Nowadays, several strategies for treating neuropsychologic function loss in Parkinson’s disease (PD) have been proposed, such as physical activity performance and developing games to exercise the mind. However, few studies...
8.
Ferrero L, Quiles V, Ortiz M, Ianez E, Megia A, Gil-Agudo A, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:4064-4067.
PMID: 36086336
Spinal Cord Injury (SCI) refers to damage to the spinal cord that can affect different body functionalities. Recovery after SCI depends on multiple factors, being the rehabilitation therapy one of...
9.
Quiles V, Ferrero L, Ianez E, Ortiz M, Azorin J
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:402-405.
PMID: 36086011
In this paper, the paradigm of the intention of speed changes from EEG signals with Riemannian classifiers methods is studied in 10 subjects. In addition, the best frequency band and...
10.
Quiles V, Ferrero L, Ianez E, Ortiz M, Azorin J
Biosensors (Basel)
. 2022 Jul;
12(8).
PMID: 35892452
In the EEG literature, there is a lack of asynchronous intention models that realistically propose interfaces for applications that must operate in real time. In this work, a novel BMI...