Search

Your search keyword '"Díez, Isabel"' showing total 868 results
Start Over Author "Díez, Isabel"
868 results on '"Díez, Isabel"'

11. EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion -- A Validation Study

Author

Raza, Imran, Hussain, Syed Asad, Jamal, Muhammad Hasan, Diez, Isabel de la Torre, Velasco, Carmen Lili Rodriguez, Brenosa, Jose Manuel, and Ashraf, Imran

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Neural and Evolutionary Computing
Abstract

Objective- The objective of this study is to introduce EmoWrite, a novel brain-computer interface (BCI) system aimed at addressing the limitations of existing BCI-based systems. Specifically, the objective includes improving typing speed, accuracy, user convenience, emotional state capturing, and sentiment analysis within the context of BCI technology. Method- The method involves the development and implementation of EmoWrite, utilizing a user-centric Recurrent Neural Network (RNN) for thought-to-text conversion. The system incorporates visual feedback and introduces a dynamic keyboard with a contextually adaptive character appearance. Comprehensive evaluation and comparison against existing approaches are conducted, considering various metrics such as accuracy, typing speed, sentiment analysis, emotional state capturing, and user interface latency. The data required for this experiment was obtained from a total of 72 volunteers (40 male and 32 female) aged between 18 and 40 Results- EmoWrite achieves notable results, including a typing speed of 6.6 Words Per Minute (WPM) and 31.9 Characters Per Minute (CPM) with a high accuracy rate of 90.36%. It excels in capturing emotional states, with an Information Transfer Rate (ITR) of 87.55 bits/min for commands and 72.52 bits/min for letters, surpassing other systems. Additionally, it offers an intuitive user interface with low latency of 2.685 seconds. Conclusion- The introduction of EmoWrite represents a significant stride towards enhancing BCI usability and emotional integration. The findings suggest that EmoWrite holds promising potential for revolutionizing communication aids for individuals with motor disabilities.

Published
2021

18. Analyzing Mental Health Diseases in a Spanish Region Using Software Based on Graph Theory Algorithms

Author

Alonso, Susel Góngora, de Bustos Molina, Andrés, Hamrioui, Sofiane, Coronado, Miguel López, Martín, Manuel Franco, Khanna, Ashish, de la Torre Díez, Isabel, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Gupta, Deepak, editor, Khanna, Ashish, editor, Bhattacharyya, Siddhartha, editor, Hassanien, Aboul Ella, editor, Anand, Sameer, editor, and Jaiswal, Ajay, editor

Published
2021
Full Text
View/download PDF

19. Lung Sound Classification for Respiratory Disease Identification Using Deep Learning: A Survey.

Author

Wanasinghe, Thinira, Bandara, Sakuni, Madusanka, Supun, Meedeniya, Dulani, Bandara, Meelan, and De La Torre Díez, Isabel

Subjects
NOSOLOGY, DEEP learning, RESPIRATORY diseases, LUNGS, MEDICAL personnel, EARLY diagnosis
Abstract

Integrating artificial intelligence (AI) into lung sound classification has markedly improved respiratory disease diagnosis by analysing intricate patterns within audio data. This study is driven by the widespread issue of lung diseases, which affect around 500 million people globally. Early detection of respiratory diseases is crucial for delivering timely and effective treatment. Our study consists of a comprehensive survey of lung sound classification methodologies, exploring the advancements made in leveraging AI to identify and classify respiratory diseases. This survey thoroughly investigates lung sound classification models, along with data augmentation, feature extraction, explainable techniques and support tools to improve systems for diagnosing respiratory conditions. Our goal is to provide meaningful insights for healthcare professionals, researchers and technologists who are dedicated to developing methodologies for the early detection of pulmonary diseases. The paper provides a summary of the current status of lung sound classification research, highlighting both advancements and challenges in the use of AI for more accurate and efficient diagnostic methods in respiratory healthcare. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

20. Novel model to authenticate role-based medical users for blockchain-based IoMT devices.

Author

Aslam, Muhammad Shehzad, Altaf, Ayesha, Iqbal, Faiza, Nigar, Natasha, Galán, Juan Castanedo, Aray, Daniel Gavilanes, Díez, Isabel de la Torre, and Ashraf, Imran

Subjects
MEDICAL personnel, DATA privacy, ACCESS control, INTERNET of things, PATIENT monitoring, MEDICAL equipment
Abstract

The IoT (Internet of Things) has played a promising role in e-healthcare applications during the last decade. Medical sensors record a variety of data and transmit them over the IoT network to facilitate remote patient monitoring. When a patient visits a hospital he may need to connect or disconnect medical devices from the medical healthcare system frequently. Also, multiple entities (e.g., doctors, medical staff, etc.) need access to patient data and require distinct sets of patient data. As a result of the dynamic nature of medical devices, medical users require frequent access to data, which raises complex security concerns. Granting access to a whole set of data creates privacy issues. Also, each of these medical user need to grant access rights to a specific set of medical data, which is quite a tedious task. In order to provide role-based access to medical users, this study proposes a blockchain-based framework for authenticating multiple entities based on the trust domain to reduce the administrative burden. This study is further validated by simulation on the infura blockchain using solidity and Python. The results demonstrate that role-based authorization and multi-entities authentication have been implemented and the owner of medical data can control access rights at any time and grant medical users easy access to a set of data in a healthcare system. The system has minimal latency compared to existing blockchain systems that lack multi-entity authentication and role-based authorization. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

21. Advanced Line-of-Sight (LOS) model for communicating devices in modern indoor environment.

Author

Waqas, Muhammad, Abbas, Qamar, Qureshi, Ahsan, Amin, Farhan, de la Torre Díez, Isabel, Uc Rios, Carlos, and Gongora, Henry Fabian

Subjects
CORRIDORS (Ecology), SIGNALS & signaling
Abstract

The provision of Wireless Fidelity (Wi-Fi) service in an indoor environment is a crucial task and the decay in signal strength issues arises especially in indoor environments. The Line-of-Sight (LOS) is a path for signal propagation that commonly impedes innumerable indoor objects damage signals and also causes signal fading. In addition, the Signal decay (signal penetration), signal reflection, and long transmission distance between transceivers are the key concerns. The signals lose their power due to the existence of obstacles (path of signals) and hence destroy received signal strength (RSS) between different communicating nodes and ultimately cause loss of the packet. Thus, to solve this issue, herein we propose an advanced model to maximize the LOS in communicating nodes using a modern indoor environment. Our proposal comprised various components for instance signal enhancers, repeaters, reflectors,. these components are connected. The signal attenuation and calculation model comprises of power algorithm and hence it can quickly and efficiently find the walls and corridors as obstacles in an indoor environment. We compared our proposed model with state of the art model using Received Signal Strength (RSS) and Packet Delivery Ratio (PDR) (different scenario) and found that our proposed model is efficient. Our proposed model achieved high network throughput as compared to the state-of-the-art models. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

28. A New Software Tool for Analyzing Mental Health Data in a Spanish Region

Author

Barreno, Diego Calvo, Alonso, Susel Góngora, de la Torre Díez, Isabel, Coronado, Miguel López, Franco, Manuel, Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Henriques, Jorge, editor, Neves, Nuno, editor, and de Carvalho, Paulo, editor

Published
2020
Full Text
View/download PDF

29. Care and treatments related to intensive care unit–acquired muscle weakness: A cohort study

Author

Rodríguez Delgado, María Esther, Contreras Rodríguez, Antonia María, Cimiano, Ester Oreña, Guerrero, Alvaro Ortega, del Carmen, María, del Aguila, Martínez, Monsalve, Virginia Rodríguez, Cano Herrera, Carlos Leonardo, Masegosa Pérez, Juan Manuel, de la Cuesta, DeliaMaría González, Pardo Artero, María Inmaculada, Laseca, Marta Palacios, Cabello Casao, Ana Isabel, de Vera Bellostas, María BelénVicente, Martínez, Carmen Pérez, González, SheilaEscuder, Cisneros, Amelia Lezcano, Romeo, Antonio Miguel, Alegre, Isabel López, de San Pío, Emilia Romero, Alonso, Helena Fernández, Rodríguez Villanueva, Lara María, Suárez, Roberto Riaño, Cerviño, Begoña Sánchez, Santos, Sergio Carrasco, Arribas, Alicia San José, García, Miriam González, Tavio, Antonio Linares, García, Paz Álvarez, Hernández, Nuria Polo, Cosío, Lourdes Gómez, Loza, Isabel Pérez, Pérez, Ángela Suárez, Rebollo, Sonia Crespo, Camargo, Juan Carlos Muñoz, García, Julián García, Aguado, César Rojo, López, José Gómez, Bartolomé, Laura Sonseca, del Olmo Nuñez, Sonia, Mazo, Patricia García, Torre, Eduardo Siguero, Díez, Isabel Muñoz, Hito, Pilar Delgado, Garrido Martín, Mercedes Olalla, Vivó, Gemma Marín, Rovira, Maria del Mar Eseverri, Dobon, Montserrat Guillen, Esteve, Montserrat Aran, Rodríguez, Maribel Mirabete, Méndez, Albert Mariné, Fernández, Silvia Rodríguez, Sancho, Joan Rosselló, Lamas, Valeria Zafra, Delgado, Inmaculada Carmona, Arilla, Àngels Navarro, Esteva, Gustau Zariquiey, Bueno Luna, Angel Lucas, Brianso, Cristina Lerma, García, Rubén Gómez, Pascual, Bernat Planas, López, Marta Sabaté, Mayer Frutos, Ana Isabel, Escrihuela, Roser Roca, Albà, Gemma Torrents, Flores, Vanesa Garcia, Galmés, Joan Melis, Moral, Sandra Belmonte, Pellicer, Montserrat Grau, Eizmendi, Aintzane Ruiz, Moll, Carme Garriga, Bosch de Jaureguízar, Esteve, Guardia, Sergio Cordovilla, Espuela, Fidel López, Hinojal, Lara Mateos, Redondo Cantos, María Isabel, Redondo, Ma del Rosario Villar, Rey, Jesús Vila, Méndez, Susana Sánchez, Fernández, Yolanda García, Benítez Canosa, María Cristina, Álvarez, Mauricio Díaz, Cordo Isorna, José Ramón, Penín, Ángeles Estébez, Rial, Gloria Güeto, López, Esther Bouzas, Rivera, Susana Arias, Frade Mera y María Jesús Luengo Alarcia, María Jesús, Díaz, Noelia Regueiro, Carrasco Rodríguez-Rey, Luis Fernando, del Rosario Hernández García, María, Gómez, Gema Sala, Rubio, Javier Vecino, González, Saúl García, Sánchez, María del Mar Sánchez, Franco, Carmen Cruzado, Rivera, Beatriz Martín, Blanco, Rocío González, de la Ventana, Ana Belén Sánchez, Bravo Arcas, Maria Luisa, Lavela, Josefa Escobar, del Pilar Domingo Moreno, María, Arias, Mercedes García, Collado Saiz, Inmaculada Concepción, Nuevo, María Acevedo, Suárez, Alejandro Barrios, Zarza Bejarano, Francisco Javier, Pérez Muñoz, María Catalina, Rubio, Virginia Toribio, Chicharro, Patricia Martínez, Martínez, Alexandra Pascual, Pozo, Sergio López, Infante, Laura Sánchez, García, Verónica Ocaña, Medina, Daniel Menes, Cortázar, Ana Vadillo, Burgos, Gema Lendínez, Juntanez, Jesús Díaz, Godino Olivares, María Teresa, José Rodríguez Mondéjar, Juan, José Martínez Rojo, Francisco, Ruiz Martínez, María Vanessa, Celdrán, Daniel Linares, Molina, Antonio Ros, Sánchez, Javier Sáez, Martínez Oliva, José María, Gilar, Ana Bernal, Hernández García, María Belén, Ríos Cortés, Antonio Tomás, Méndez, Raquel Navarro, García, Sebastián Gil, Garre, Juan Sánchez, Linares, Miriam del Barrio, Viguria, Rosana Goñi, Santano, Raquel Aguirre, Díez, Ma Rosario García, Cilla, Laura Aparicio, Domingo, Mónica Delicado, Núñez, César Rodríguez, López, Ane Arrasate, Morán, Ángela Romero, Melgoso, Rosa Paños, Cerón, Mónica Yañez, Martínez, Amparo Mercado, Llopis, Beatriz Martínez, Vayá Albelda, María Josefa, Carbonell, Javier Inat, Senent, M.Rosario Alcayne, García, Fátima Giménez, Fernández Gonzaga, Eva Cristina, Puchol, Laura Febrer, Ortuño, Senén Berenguer, Martínez, María Pastor, Talavera, Dunia Valera, Rovira, María José Segrera, Revert, Yolanda Langa, Pozuelo, Maricruz Espí, de Diego, María Ángeles, Aspas, Beatriz Garijo, del Rosario Asensio García, María, Sánchez Muñoz, José Ramón, Sánchez, Quirico Martínez, Mateu, Ramón López, Raurell-Torredà, M., Arias-Rivera, S., Martí, J.D., Frade-Mera, M.J., Zaragoza-García, I., Gallart, E., Velasco-Sanz, T.R., San José-Arribas, A., and Blazquez-Martínez, E.

Published
2021
Full Text
View/download PDF

33. Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning.

Author

Sumbul, Sultana, Arshiya, Md Belal Bin Heyat, Rahman, Khaleequr, Akhtar, Faijan, Parveen, Saba, Urbano, Mercedes Briones, Lipari, Vivian, Díez, Isabel De la Torre, Khan, Azmat Ali, Malik, Abdul, Pkmkina, Oksana, Nasir, Abdul, and Saba Khan

Subjects
SESAME, PELVIC inflammatory disease, MACHINE learning, DRUG design, MEDICAL botany
Abstract

Background and objectives: As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease (uPID) are explored for their efficacy. Therefore, this study determined the therapeutic efficacy and safety of Sesamum indicum Linn seeds with Rosa damascena Mill Oil in uPID with standard control. Additionally, we analyzed the data with machine learning. Materials and methods: We included 60 participants in a double-blind, doubledummy, randomized standard-controlled study. Participants in the Sesame and Rose oil group (SR group) (n = 30) received 14 days course of black sesame powder (5 gm) mixed with rose oil (10 mL) per vaginum at bedtime once daily plus placebo capsules orally. The standard group (SC), received doxycycline 100 mg twice and metronidazole 400 mg thrice orally plus placebo per vaginum for the same duration. The primary outcome was a clinical cure at post-intervention for visual analogue scale (VAS) for lower abdominal pain (LAP), and McCormack pain scale (McPS) for abdominal-pelvic tenderness. The secondary outcome included white blood cells (WBC) cells in the vaginal wet mount test, safety profile, and health-related quality of life assessed by SF-12. In addition, we used AdaBoost (AB), Naïve Bayes (NB), and Decision Tree (DT) classifiers in this study to analyze the experimental data. Results: The clinical cure for LAP and McPS in the SR vs SC group was 82.85% vs 81.48% and 83.85% vs 81.60% on Day 15 respectively. On Day 15, pus cells less than 10 in the SR vs SC group were 86.6% vs 76.6% respectively. No adverse effects were reported in both groups. The improvement in total SF-12 score on Day 30 for the SR vs SC group was 82.79% vs 80.04% respectively. In addition, our Naive Bayes classifier based on the leave-one-out model achieved the maximum accuracy (68.30%) for the classification of both groups of uPID. Conclusion: We concluded that the SR group is cost-effective, safer, and efficacious for curing uPID. Proposed alternative treatment (test drug) could be a substitute of standard drug used for Female genital tract infections. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

34. Adaptación y validación de la ICU Mobility Scale en España

Author

Cámara-Conde, Natalia, Peñuelas-Rodríguez, Oscar, Herrero-Hernández, Raquel, Sánchez-Sánchez, M. Mar, Fraile-Gamo, M. Pilar, López-López, Candelas, Frade-Mera, M. Jesús, Regueiro-Díaz, Noelia, Rodríguez-Rey, Luis Fernando Carrasco, Zaragoza-García, Ignacio, Zarza-Bejarano, Francisco Javier, Toribio-Rubio, Virginia, Pérez-Muñoz, María Catalina, Nuevo, María Acevedo, Barrios, Alejandro, Velasco-Sanz, Tamara R., García-González, Saúl, Pío, Emilia Romero de San, Martí-Romeu, Joan-Daniel, Blázquez-Martínez, Eva, José-Arribas, Alicia San, Belmonte, Sandra, Gallart, Elisabeth, Gomes, Ricardo Rodrigues, Cortés, Antonio Tomás Ríos, Alejos, Roberto Martínez, Merino, Ana Rodríguez, Afonso, Elsa, Delgado, María Esther Rodríguez, Rodríguez, Antonia María Contreras, Cimiano, Ester Oreña, Guerrero, Alvaro Ortega, Águila, María del Carmen Martínez del, Monsalve, Virginia Rodríguez, Herrera, Carlos Leonardo Cano, Pérez, Juan Manuel Masegosa, Cuesta, Delia María González de la, Artero, María Inmaculada Pardo, Laseca, Marta Palacios, Casao, Ana Isabel Cabello, Bellostas, María Belén Vicente de Vera, Martínez, Carmen Pérez, González, Sheila Escuder, Cisneros, Amelia Lezcano, Romeo, Antonio Miguel, Alegre, Isabel López, Alonso, Helena Fernández, Villanueva, Lara María Rodríguez, Suárez, Roberto Riaño, Cerviñio, Begoña Sánchez, Santos, Sergio Carrasco, Arribas, Alicia San José, García, Miriam González, Tavio, Antonio Linares, García, Paz Álvarez, Hernández, Nuria Polo, Cosío, Lourdes Gómez, Loza, Isabel Pérez, Pérez, Ángela Suárez, Rebollo, Sonia Crespo, Camargo, Juan Carlos Muñoz, García, Julián García, Aguado, César Rojo, López, José Gómez, Bartolomé, Laura Sonseca, Nuñez, Sonia del Olmo, Mazo, Patricia García, Torre, Eduardo Siguero, Díez, Isabel Muñoz, Hito, Pilar Delgado, Marín, Mercedes Olalla Garrido, Vivó, Gemma Marín, Rovira, Maria del Mar Eseverri, Dobon, Montserrat Guillen, Esteve, Montserrat Aran, Rodríguez, Maribel Mirabete, Méndez, Albert Mariné, Fernández, Silvia Rodríguez, Sancho, Joan Rosselló, Lamas, Valeria Zafra, Delgado, Inmaculada Carmona, Arilla, Àngels Navarro, Esteva, Gustau Zariquiey, Luna, Ángel Lucas Bueno, Brianso, Cristina Lerma, García, Rubén Gómez, Pascual, Bernat Planas, López, Marta Sabaté, Frutos, Ana Isabel Mayer, Escrihuela, Roser Roca, Albà, Gemma Torrents, Flores, Vanesa Garcia, Galmés, Joan Melis, Moral, Sandra Belmonte, Pellicer, Montserrat Grau, Eizmendi, Aintzane Ruiz, Moll, Carme Garriga, Jaureguízar, Esteve Bosch de, Guardia, Sergio Cordovilla, Espuela, Fidel López, Hinojal, Lara Mateos, Cantos, María Isabel Redondo, Redondo, M. del Rosario Villar, Rey, Jesús Vila, Méndez, Susana Sánchez, Fernández, Yolanda García, Canosa, María Cristina Benítez, Álvarez, Mauricio Díaz, Isorna, José Ramón Cordo, Penín, Ángeles Estébez, Rial, Gloria Güeto, López, Esther Bouzas, Rivera, Susana Arias, Mera, María Jesús Frade, Alarcia, María Jesús Luengo, Díaz, Noelia Regueiro, García, María del Rosario Hernández, Gómez, Gema Sala, Rubio, Javier Vecino, González, Saúl García, Sánchez, María del Mar Sánchez, Franco, Carmen Cruzado, Rivera, Beatriz Martín, Blanco, Rocío González, Ventana, Ana Belén Sánchez de la, Arcas, Maria Luisa Bravo, Lavela, Josefa Escobar, Moreno, María del Pilar Domingo, Arias, Mercedes García, Saiz, Inmaculada Concepción Collado, Suárez, Alejandro Barrios, Bejarano, Francisco Javier Zarza, Muñoz, María Catalina Pérez, Rubio, Virginia Toribio, Chicharro, Patricia Martínez, Martínez, Alexandra Pascual, Pozo, Sergio López, Infante, Laura Sánchez, García, Verónica Ocaña, Medina, Daniel Menes, Cortázar, Ana Vadillo, Burgos, Gema Lendínez, Juntádez, Jesús Díaz, Olivares, María Teresa Godino, Mondéjar, Juan José Rodríguez, Rojo, Francisco José Martínez, Martínez, María Vanessa Ruiz, Celdrán, Daniel Linares, Molina, Antonio Ros, Sánchez, Javier Sáez, Oliva, José María Martínez, Gilar, Ana Bernal, García, María Belén Hernández, Méndez, Raquel Navarro, García, Sebastián Gil, Garre, Juan Sánchez, Linares, Miriam del Barrio, Viguria, Rosana Goñi, Santano, Raquel Aguirre, Díez, M. Rosario García, Cilla, Laura Aparicio, Domingo, Mónica Delicado, Núñez, César Rodríguez, López, Ane Arrasate, Morán, Ángela Romero, Melgoso, Rosa Paños, Cerón, Mónica Yañez, Martínez, Amparo Mercado, Llopis, Beatriz Martínez, Albelda, María Josefa Vayá, Carbonell, Javier Inat, Senent, M. Rosario Alcayne, García, Fátima Giménez, Gonzaga, Eva Cristina Fernández, Puchol, Laura Febrer, Ortuño, Senén Berenguer, Martínez, María Pastor, Talavera, Dunia Valera, Rovira, María José Segrera, Revert, Yolanda Langa, Pozuelo, Maricruz Espí, Diego, María Ángeles de, Aspas, Beatriz Garijo, García, María del Rosario Asensio, Muñoz, José Ramón Sánchez, Sánchez, Quirico Martínez, Mateu, Ramón López, Arias-Rivera, S., Raurell-Torredà, M., Thuissard-Vasallo, I.J., Andreu-Vázquez, C., and Hodgson, C.L.

Published
2020
Full Text
View/download PDF

40. Grado de implementación de las estrategias preventivas del síndrome post-UCI: estudio observacional multicéntrico en España

Author

Rodríguez Delgado, María Esther, Contreras Rodríguez, Antonia María, Oreña Cimiano, Ester, Ortega Guerrero, Álvaro, Martínez del Aguila, María del Carmen, Rodríguez Monsalve, Virginia, Cano Herrera, Carlos Leonardo, Masegosa Pérez, Juan Manuel, González de la Cuesta, Delia María, Pardo Artero, María Inmaculada, Palacios Laseca, Marta, Cabello Casao, Ana Isabel, Vera Bellostas, María Belén Vicente de, Pérez Martínez, Carmen, Escuder González, Sheila, Lezcano Cisneros, Amelia, Miguel Romeo, Antonio, López Alegre, Isabel, San Pío, Emilia Romero de, Fernández Alonso, Helena, Rodríguez Villanueva, Lara María, Riaño Suárez, Roberto, Sánchez Cerviñio, Begoña, Carrasco Santos, Sergio, José Arribas, Alicia San, González García, Miriam, Linares Tavio, Antonio, Álvarez García, Paz, Polo Hernández, Nuria, Gómez Cosío, Lourdes, Pérez Loza, Isabel, Suárez Pérez, Ángela, Crespo Rebollo, Sonia, Muñoz Camargo, Juan Carlos, García García, Julián, Rojo Aguado, César, Gómez López, José, Sonseca Bartolomé, Laura, Olmo Nuñez, Sonia del, García Mazo, Patricia, Siguero Torres, Eduardo, Muñoz Díez, Isabel, Delgado Hito, Pilar, Garrido Martín, Mercedes Olalla, Marín Vivó, Gemma, Eseverri Rovira, María del Mar, Guillen Dobon, Montserrat, Aran Esteve, Montserrat, Mirabete Rodríguez, Maribel, Mariné Méndez, Albert, Rodríguez Fernández, Silvia, Rosselló Sancho, Joan, Zafra Lamas, Valeria, Carmona Delgado, Inmaculada, Navarro Arilla, Àngels, Zariquiey Esteva, Gustau, Bueno Luna, Ángel Lucas, Lerma Brianso, Cristina, Gómez García, Rubén, Planas Pascual, Bernat, Sabaté López, Marta, Mayer Frutos, Ana Isabel, Roca Escrihuela, Roser, Torrents Albà, Gemma, García Flores, Vanesa, Melis Galmés, Joan, Belmonte Moral, Sandra, Grau Pellicer, Montserrat, Ruiz Eizmendi, Aintzane, Garriga Moll, Carme, de Jaureguízar, Esteve Bosch, Cordovilla Guardia, Sergio, López Espuela, Fidel, Mateos Hinojal, Lara, Redondo Cantos, María Isabel, Villar Redondo, María del Rosario, Vila Rey, Jesús, Sánchez Méndez, Susana, García Fernández, Yolanda, Benítez Canosa, María Cristina, Díaz Álvarez, Mauricio, Cordo Isorna, José Ramón, Estébez Penín, Ángeles, Güeto Rial, Gloria, Bouzas López, Esther, Arias Rivera, Susana, Frade Mera, María Jesús, Luengo Alarcia, María Jesús, Regueiro Díaz, Noelia, Carrasco Rodríguez-Rey, Luis Fernando, Hernández García, María del Rosario, Sala Gómez, Gema, Vecino Rubio, Javier, García González, Saúl, Sánchez Sánchez, María del Mar, Cruzado Franco, Carmen, Martín Rivera, Beatriz, González Blanco, Rocío, Sánchez de la Ventana, Ana Belén, Bravo Arcas, María Luisa, Escobar Lavela, Josefa, Domingo Moreno, María del Pilar, García Arias, Mercedes, Collado Saiz, Inmaculada Concepción, Acevedo Nuevo, María, Barrios Suárez, Alejandro, Zarza Bejarano, Francisco Javier, Pérez Muñoz, María Catalina, Toribio Rubio, Virginia, Martínez Chicharro, Patricia, Pascual Martínez, Alexandra, López Pozo, Sergio, Sánchez Infante, Laura, Ocaña García, Verónica, Menes Medina, Daniel, Vadillo Cortázar, Ana, Lendínez Burgos, Gema, Díaz Juntanez, Jesús, Godino Olivares, María Teresa, Rodríguez Mondéjar, Juan José, Martínez Rojo, Francisco José, Ruiz Martínez, María Vanessa, Linares Celdrán, Daniel, Ros Molina, Antonio, Sáez Sánchez, Javier, Martínez Oliva, José María, Bernal Gilar, Ana, Hernández García, María Belén, Ríos Cortés, Antonio Tomás, Navarro Méndez, Raquel, Gil García, Sebastián, Sánchez Garre, Juan, Barrio Linares, Miriam del, Goñi Viguria, Rosana, Aguirre Santano, Raquel, García Díez, Maria Rosario, Aparicio Cilla, Laura, Delicado Domingo, Mónica, Rodríguez Núñez, César, Arrasate López, Ane, Romero Morán, Ángela, Paños Melgoso, Rosa, Yañez Cerón, Mónica, Mercado Martínez, Amparo, Martínez Llopis, Beatriz, Vayá Albelda, María Josefa, Inat Carbonell, Javier, Alcayne Senent, M. Rosario, Giménez García, Fátima, Fernández Gonzaga, Eva Cristina, Febrer Puchol, Laura, Berenguer Ortuño, Senén, Pastor Martínez, María, Valera Talavera, Dunia, Segrera Rovira, María José, Langa Revert, Yolanda, Espí Pozuelo, Maricruz, Diego Miravet, María Ángeles de, Garijo Aspas, Beatriz, Asensio García, María del Rosario, Sánchez Muñoz, José Ramón, Martínez Sánchez, Quirico, López Mateu, Ramón, Raurell-Torredà, M., Arias-Rivera, S., Martí, J.D., Frade-Mera, M.J., Zaragoza-García, I., Gallart, E., Velasco-Sanz, T.R., San José-Arribas, A., and Blázquez-Martínez, E.

Published
2019
Full Text
View/download PDF

41. Degree of implementation of preventive strategies for post-ICU syndrome: Multi-centre, observational study in Spain

Author

Raurell-Torredà, M., Arias-Rivera, S., Martí, J.D., Frade-Mera, M.J., Zaragoza-García, I., Gallart, E., Velasco-Sanz, T.R., San José-Arribas, A., Blázquez-Martínez, E., Rodríguez Delgado, María Esther, Contreras Rodríguez, Antonia María, Oreña Cimiano, Ester, Ortega Guerrero, Álvaro, Martínez del Aguila, María del Carmen, Rodríguez Monsalve, Virginia, Cano Herrera, Carlos Leonardo, Masegosa Pérez, Juan Manuel, González de la Cuesta, Delia María, Pardo Arter, María Inmaculada, Palacios Laseca, Marta, Cabello Casao, Ana Isabel, Vera Bellostas, María Belén Vicente de, Pérez Martínez, Carmen, Escuder González, Sheila, Lezcano Cisneros, Amelia, Miguel Romeo, Antonio, López Alegre, Isabel, San Pío, Emilia Romero de, Fernández Alonso, Helena, Rodríguez Villanueva, Lara María, Riaño Suárez, Roberto, Sánchez Cerviñio, Begoña, Carrasco Santos, Sergio, José Arribas, Alicia San, González García, Miriam, Linares Tavio, Antonio, Álvarez García, Paz, Polo Hernández, Nuria, Gómez Cosío, Lourdes, Pérez Loza, Isabel, Suárez Pérez, Ángela, Crespo Rebollo, Sonia, Muñoz Camargo, Juan Carlos, García García, Julián, Rojo Aguado, César, Gómez López, José, Sonseca Bartolomé, Laura, Olmo Nuñez, Sonia del, García Mazo, Patricia, Siguero Torres, Eduardo, Muñoz Díez, Isabel, Delgado Hito, Pilar, Garrido Martín, Mercedes Olalla, Marín Vivó, Gemma, Eseverri Rovira, María del Mar, Guillen Dobon, Montserrat, Aran Esteve, Montserrat, Mirabete Rodríguez, Maribel, Mariné Méndez, Albert, Rodríguez Fernández, Silvia, Rosselló Sancho, Joan, Zafra Lamas, Valeria, Carmona Delgado, Inmaculada, Navarro Arilla, Àngels, Zariquiey Esteva, Gustau, Bueno Luna, Ángel Lucas, Lerma Brianso, Cristina, Gómez García, Rubén, Planas Pascual, Bernat, Sabaté López, Marta, Mayer Frutos, Ana Isabel, Roca Escrihuela, Roser, Torrents Albà, Gemma, García Flores, Vanesa, Melis Galmés, Joan, Belmonte Moral, Sandra, Grau Pellicer, Montserrat, Ruiz Eizmendi, Aintzane, Garriga Moll, Carme, de Jaureguízar, Esteve Bosch, Cordovilla Guardia, Sergio, López Espuela, Fidel, Mateos Hinojal, Lara, Redondo Cantos, María Isabel, Villar Redondo, María del Rosario, Vila Rey, Jesús, Sánchez Méndez, Susana, García Fernández, Yolanda, Benítez Canosa, María Cristina, Díaz Álvarez, Mauricio, Cordo Isorna, José Ramón, Estébez Penín, Ángeles, Güeto Rial, Gloria, Bouzas López, Esther, Arias Rivera, Susana, Frade Mera, María Jesús, Luengo Alarcia, María Jesús, Regueiro Díaz, Noelia, Carrasco Rodríguez-Rey, Luis Fernando, Hernández García, María del Rosario, Sala Gómez, Gema, Vecino Rubio, Javier, García González, Saúl, Sánchez Sánchez, María del Mar, Cruzado Franco, Carmen, Martín Rivera, Beatriz, González Blanco, Rocío, Sánchez de la Ventana, Ana Belén, Bravo Arcas, María Luisa, Escobar Lavela, Josefa, Domingo Moreno, María del Pilar, García Arias, Mercedes, Collado Saiz, Inmaculada Concepción, Acevedo Nuevo, María, Barrios Suárez, Alejandro, Zarza Bejarano, Francisco Javier, Pérez Muñoz, María Catalina, Toribio Rubio, Virginia, Martínez Chicharro, Patricia, Pascual Martínez, Alexandra, López Pozo, Sergio, Sánchez Infante, Laura, Ocaña García, Verónica, Menes Medina, Daniel, Vadillo Cortázar, Ana, Lendínez Burgos, Gema, Díaz Juntanez, Jesús, Godino Olivares, María Teresa, Rodríguez Mondéjar, Juan José, Martínez Rojo, Francisco José, Ruiz Martínez, María Vanessa, Linares Celdrán, Daniel, Ros Molina, Antonio, Sáez Sánchez, Javier, Martínez Oliva, José María, Bernal Gilar, Ana, Hernández García, María Belén, Ríos Cortés, Antonio Tomás, Navarro Méndez, Raquel, Gil García, Sebastián, Sánchez Garre, Juan, Barrio Linares, Miriam del, Goñi Viguria, Rosana, Aguirre Santano, Raquel, García Díez, Maria Rosario, Aparicio Cilla, Laura, Delicado Domingo, Mónica, Rodríguez Núñez, César, Arrasate López, Ane, Romero Morán, Ángela, Paños Melgoso, Rosa, Yañez Cerón, Mónica, Mercado Martínez, Amparo, Martínez Llopis, Beatriz, Vayá Albelda, María Josefa, Inat Carbonell, Javier, Alcayne Senent, M. Rosario, Giménez García, Fátima, Fernández Gonzaga, Eva Cristina, Febrer Puchol, Laura, Berenguer Ortuño, Senén, Pastor Martínez, María, Valera Talavera, Dunia, Segrera Rovira, María José, Langa Revert, Yolanda, Espí Pozuelo, Maricruz, Diego Miravet, María Ángeles de, Garijo Aspas, Beatriz, Asensio García, María del Rosario, Sánchez Muñoz, José Ramón, Martínez Sánchez, Quirico, and López Mateu, Ramón

Published
2019
Full Text
View/download PDF

44. Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing.

Author

Shafi, Imran, Din, Sadia, Farooq, Siddique, Díez, Isabel de la Torre, Breñosa, Jose, Espinosa, Julio César Martínez, and Ashraf, Imran

Subjects
CLOUD storage, PULSE oximeters, REAL-time computing, DATA warehousing, PATIENT-professional relations, MEDICAL personnel as patients, MEDICAL personnel
Abstract

With the outbreak of the COVID-19 pandemic, social isolation and quarantine have become commonplace across the world. IoT health monitoring solutions eliminate the need for regular doctor visits and interactions among patients and medical personnel. Many patients in wards or intensive care units require continuous monitoring of their health. Continuous patient monitoring is a hectic practice in hospitals with limited staff; in a pandemic situation like COVID-19, it becomes much more difficult practice when hospitals are working at full capacity and there is still a risk of medical workers being infected. In this study, we propose an Internet of Things (IoT)-based patient health monitoring system that collects real-time data on important health indicators such as pulse rate, blood oxygen saturation, and body temperature but can be expanded to include more parameters. Our system is comprised of a hardware component that collects and transmits data from sensors to a cloud-based storage system, where it can be accessed and analyzed by healthcare specialists. The ESP-32 microcontroller interfaces with the multiple sensors and wirelessly transmits the collected data to the cloud storage system. A pulse oximeter is utilized in our system to measure blood oxygen saturation and body temperature, as well as a heart rate monitor to measure pulse rate. A web-based interface is also implemented, allowing healthcare practitioners to access and visualize the collected data in real-time, making remote patient monitoring easier. Overall, our IoT-based patient health monitoring system represents a significant advancement in remote patient monitoring, allowing healthcare practitioners to access real-time data on important health metrics and detect potential health issues before they escalate. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

45. Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique.

Author

Aynul Fazmiya, Mohamed Joonus, Sultana, Arshiya, Bin Heyat, Md Belal, Parveen, Saba, Rahman, Khaleequr, Akhtar, Faijan, Khan, Azmat Ali, Alanazi, Amer M., Ahmed, Zaheer, de la Torre Díez, Isabel, Ballester, Julién Brito, and Kumar Saripalli, Tirumala Santhosh

Subjects
MENSTRUATION, ACACIA nilotica, MENORRHAGIA, MACHINE learning, SUPPOSITORIES, CINNAMOMUM, MIMOSACEAE
Abstract

Objective: This study aims to determine the efficacy of the Acacia arabica (Lam.) Willd. and Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual bleeding (HMB) and their impact on participants' health-related quality of life (HRQoL) analyzed using machine learning algorithms. Method: A total of 62 participants were enrolled in a double-dummy, singlecenter study. They were randomly assigned to either the suppository group (SG), receiving a formulation prepared with Acacia arabica gum (Gond Babul) and camphor from Cinnamomum camphora (Kafoor) through two vaginal suppositories (each weighing 3,500 mg) for 7 days at bedtime along with oral placebo capsules, or the tranexamic group (TG), receiving oral tranexamic acid (500 mg) twice a day for 5 days and two placebo vaginal suppositories during menstruation at bedtime for three consecutive menstrual cycles. The primary outcome was the pictorial blood loss assessment chart (PBLAC) for HMB, and secondary outcomes included hemoglobin level and SF-36 HRQoL questionnaire scores. Additionally, machine learning algorithms such as k-nearest neighbor (KNN), AdaBoost (AB), naive Bayes (NB), and random forest (RF) classifiers were employed for analysis. Results: In the SG and TG, the mean PBLAC score decreased from 635.322 ± 504.23 to 67.70 ± 22.37 and 512.93 ± 283.57 to 97.96 ± 39.25, respectively, at postintervention (TF3), demonstrating a statistically significant difference (p < 0.001). A higher percentage of participants in the SG achieved normal menstrual blood loss compared to the TG (93.5% vs 74.2%). The SG showed a considerable improvement in total SF-36 scores (73.56%) compared to the TG (65.65%), with a statistically significant difference (p < 0.001). Additionally, no serious adverse events were reported in either group. Notably, machine learning algorithms, particularly AB and KNN, demonstrated the highest accuracy within cross-validation models for both primary and secondary outcomes. Conclusion: The A. arabica and C. camphora vaginal suppository is effective, costeffective, and safe in controlling HMB. This botanical vaginal suppository provides a novel and innovative alternative to traditional interventions, demonstrating promise as an effective management approach for HMB. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

46. Blockchain based transparent and reliable framework for wheat crop supply chain.

Author

Farooq, Muhammad Shoaib, Ansari, Zain Khalid, Alvi, Atif, Rustam, Furqan, Díez, Isabel De La Torre, Mazón, Juan Luis Vidal, Rodríguez, Carmen Lili, and Ashraf, Imran

Subjects
SUPPLY chains, WHEAT, ECONOMIC models, BLOCKCHAINS, CRYPTOCURRENCIES, PRECISION farming, FOOD crops
Abstract

The wheat crop that fulfills 35% of human food demand is facing several problems due to a lack of transparency, security, reliability, and traceability in the existing agriculture supply chain. Many systems have been developed for the agriculture supply chain to overcome such issues, however, monopolistic centralized control is the biggest hurdle to realizing the use of such systems. It has eventually gained consumers' trust in branded products and rejected other products due to the lack of traceable supply chain information. This study proposes a blockchain-based framework for supply chain traceability which provides trustable, transparent, secure, and reliable services for the wheat crop. A crypto token called wheat coin (WC) has been introduced to keep track of transactions among the stakeholders of the wheat supply chain. Moreover, an initial coin offering (ICO) of WC, crypto wallets, and an economic model are proposed. Furthermore, a smart contract-based transaction system has been devised for the transparency of wheat crop transactions and conversion of WC to fiat and vice versa. We have developed the interplanetary file system (IPFS) to improve data availability, security, and transparency which stores encrypted private data of farmers, businesses, and merchants. Lastly, the results of the experiments show that the proposed framework shows better performance as compared to previous crop supply chain solutions in terms of latency to add-blocks, per-minute transactions, average gas charge for the transaction, and transaction verification time. Performance analysis with Bitcoin and Ethereum shows the superior performance of the proposed system. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results