Examinando por Autor "Rodriguez-Sanchez, Cristina"

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Hardware Architectures for Real-Time Medical Imaging
(MDPI, 2021-12-15) Alcaín , Eduardo; Fernández, Pedro R.; Nieto , Rubén; Montemayor , Antonio S.; Vilas , Jaime; Galiana-Bordera, Adrian; Martinez-Girones, Pedro Miguel; Prieto-de-la-Lastra, Carmen; Rodriguez-Vila , Borja; Bonet , Marina; Rodriguez-Sanchez, Cristina; Yahyaoui, Imene; Malpica , Norberto; Borromeo , Susana; Machado , Felipe; Torrado-Carvajal, Angel
Medical imaging is considered one of the most important advances in the history of medicine and has become an essential part of the diagnosis and treatment of patients. Earlier prediction and treatment have been driving the acquisition of higher image resolutions as well as the fusion of different modalities, raising the need for sophisticated hardware and software systems for medical image registration, storage, analysis, and processing. In this scenario and given the new clinical pipelines and the huge clinical burden of hospitals, these systems are often required to provide both highly accurate and real-time processing of large amounts of imaging data. Additionally, lowering the prices of each part of imaging equipment, as well as its development and implementation, and increasing their lifespan is crucial to minimize the cost and lead to more accessible healthcare. This paper focuses on the evolution and the application of different hardware architectures (namely, CPU, GPU, DSP, FPGA, and ASIC) in medical imaging through various specific examples and discussing different options depending on the specific application. The main purpose is to provide a general introduction to hardware acceleration techniques for medical imaging researchers and developers who need to accelerate their implementations.
Implementation of ISO/IEEE 11073 PHD SpO2 and ECG Device Specializations over Bluetooth
(MDPI, 2022-07-28) Cristobal-Huerta, Cristina; Torrado-Carvajal, Angel; Rodriguez-Sanchez, Cristina; Hernandez-Tamames, Juan A; Luaces, María; Borromeo, Susana
Current m-Health scenarios in the smart living era, as the interpretation of the smart city at each person’s level, present several challenges associated with interoperability between different clinical devices and applications. The Continua Health Alliance establishes design guidelines to standardize application communication to guarantee interoperability among medical devices. In this paper, we describe the implementation of two IEEE agents for oxygen saturation level (SpO2) measurements and electrocardiogram (ECG) data acquisition, respectively, and a smartphone IEEE manager for validation. We developed both IEEE agents over the Bluetooth Health Device Profile following the Continua guidelines and they are part of a telemonitoring system. This system was evaluated in a sample composed of 10 volunteers (mean age 29.8 +- 7.1 y/o; 5 females) under supervision of an expert cardiologist. The evaluation consisted of measuring the SpO2 and ECG signal sitting and at rest, before and after exercising for 15 min. Physiological measurements were assessed and compared against commercial devices, and our expert physician did not find any relevant differences in the ECG signal. Additionally, the system was assessed when acquiring and processing different heart rate data to prove that warnings were generated when the heart rate was under/above the thresholds for bradycardia and tachycardia, respectively.
Insights 4.0: Transformative learning in industrial engineering through problem-based learning and project-based learning
(Wiley, 2024-03-19) Rodriguez-Sanchez, Cristina; Orellana, Rubén; Fernandez Barbosa, Pedro Rafael; Borromeo, Susana; Vaquero, Joaquin
This paper describes a methodological study carried out between 2018 and 2022, at Rey Juan Carlos University, focused on the subject monitoring and control systems within a master's program in Industrial Engineering. The study proposes an innovative teaching strategy using problem-based learning and project-based learning methodologies. The projects undertaken are based on Internet of Things (IoT) systems aimed at enhancing weather stations, services and facilitating real-time decision-making. Inspired by our experience in the development of Industry 4.0 projects, we have designed a methodological strategy for this subject that focuses on providing students with the necessary knowledge and skills in the field of Control and Monitoring Systems and the IoT to develop real monitoring and control systems. The approach emphasizes interdisciplinary problem-solving, with students working collaboratively in stable teams. Throughout the 16-week course, tasks of increasing complexity are completed, resulting in the development of a complete system. The practical approach of the course and its relation to real applications motivates students, resulting in better performance. The acquired techniques and skills from the course are broadly applicable across engineering disciplines