Examinando por Autor "Rodriguez-Sanchez, Cristina"

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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