Publication: Uso de herramientas tecnológicas y de algoritmos en las ciencias del deporte
Authors
Amat Plata, Sergio
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Escuela Internacional de Doctorado
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Pino Ortega, José ; Gómez López, Manuel
Publisher
Universidad de Murcia
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DOI
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info:eu-repo/semantics/doctoralThesis
Description
Abstract
Para que un deportista tenga un rendimiento óptimo, debe tener una buena condición física. Los estudios realizados en esta tesis no solo pueden mejorar el rendimiento, sino que también son importantes para prevenir lesiones o predecir enfermedades como las cardíacas. Es por ello, por lo que estamos interesados en el análisis de datos que monitoricen estos aspectos.
Las características físicas y movimientos de los deportistas se analizarán utilizando dispositivos electrónicos para la captura de datos y herramientas matemáticas para su estudio posterior. Se desarrollarán algoritmos matemáticos propios para el análisis de datos de forma automática y en tiempo real. Estamos interesados en estudiar una gran variedad de deportes, pero en esta tesis nos concentraremos en el piragüismo, el fútbol sala y los entrenamientos de HIIT.
Para cada uno de los estudios realizaremos las siguientes tares:
1. Realizar entrevistas regulares entre el cuerpo técnico y nuestro grupo para planificar los estudios a realizar y obtener la capacitación necesaria para llevarlos a cabo.
2. Usar software para la obtención de datos y su análisis preliminar.
3. Crear algoritmos propios usando análisis numérico, big data e inteligencia artificial.
4. Testar los algoritmos.
5. Crear pautas para el uso de los algoritmos.
Los avances serán beneficiosos para mejorar la condición física y la salud, cabría mencionar que, con el Ayuntamiento de Cartagena, estamos involucrados en una Cátedra en esta área.
Concretamente en piragüismo propondremos como realizar una detección automática de las fases de entrenamiento y proporcionaremos métricas cuantitativas para la evaluación de la técnica, potencia y resistencia, ofreciendo a entrenadores y atletas una herramienta objetiva para la optimización del rendimiento. Nuestro objetivo es automatizar la tarea de análisis que actualmente se realiza manualmente.
Para HIIT (Entrenamientos Interválicos de Alta Intensidad) propondremos un algoritmo automatizado para identificar en tiempo real parámetros clave de la frecuencia cardíaca, eliminando la necesidad de supervisión manual. El algoritmo detecta los máximos y mínimos locales en las señales de frecuencia cardíaca registradas durante sesiones de entrenamiento y calcula las pendientes ascendentes y descendentes, así como promedios intermedios, para evaluar la respuesta cardiovascular y la recuperación.
Desarrollamos una herramienta para el análisis objetivo y dinámico de la frecuencia cardíaca en el fútbol sala, con el potencial de mejorar el rendimiento y el monitoreo de la salud en el deporte, sentando las bases para futuras investigaciones que validen su precisión y exploren la utilidad de las métricas dinámicas. Podría utilizarse para optimizar la política de cambios.
Como trabajos futuros hay que destacar dos de ellos:
En gimnasia hemos realizado algunas mediciones de la condición física que son muy importantes para llegar a una buena sincronización, en un futuro usaremos Inteligencia Artificial para ayudar a testear de forma objetiva la sincronización de las gimnastas.
En balonmano estamos interesados a desarrollar algoritmos que permitan detectar acciones tácticas colectivas de forma automática, lo que permitiría un análisis más completo del juego y de la evolución de este.
Por último, estamos interesados en el uso del deporte dentro del proceso de recuperación de personas con ciertas patologías. En concreto, estamos interesados en desarrollar una aplicación móvil que se centre en la actividad física para los pacientes con cáncer. Esta aplicación le brindará un seguimiento completo de su estado físico y sugerirá ejercicios personalizados para satisfacer sus necesidades.
For an athlete to achieve optimal performance, they must have good physical condition. The studies on physical activity carried out in this thesis can not only improve performance but are also important for preventing injuries or predicting diseases such as heart conditions. This is why we are interested in data analysis to monitor these aspects. The physical characteristics and movements of athletes will be analyzed using electronic devices for data collection and mathematical tools for further study. Proprietary mathematical algorithms will be developed for the automatic and real-time analysis of data. We are interested in studying a wide variety of sports, but in this thesis, we will focus on canoeing, futsal, and HIIT training. For each of the studies, we will carry out the following tasks: Conduct regular meetings between the coaching staff and our team to plan the studies to be carried out and to receive the necessary training. Use software for data acquisition and preliminary analysis. Create our own algorithms using numerical analysis, big data, and artificial intelligence. Test the algorithms. Create guidelines for the use of the algorithms. The progress achieved will be beneficial for improving physical condition and health. It is worth mentioning that, together with the Cartagena City Council, we are involved in a Chair in this area. Specifically, in canoeing, we propose to implement automatic detection of training phases and provide quantitative metrics for the evaluation of technique, power, and endurance, offering coaches and athletes an objective tool for performance optimization. Our goal is to automate the analysis task that is currently performed manually. For HIIT, we propose an automated algorithm to identify key heart rate parameters in real time, eliminating the need for manual supervision. The algorithm detects local maxima and minima in heart rate signals recorded during training sessions and calculates ascending and descending slopes, as well as intermediate averages, to assess cardiovascular response and recovery. We developed a tool for the objective and dynamic analysis of heart rate in futsal, with the potential to improve performance and health monitoring in the sport, laying the groundwork for future research to validate its accuracy and explore the usefulness of dynamic metrics. It could be used to optimize substitution strategies. As for future work, three areas stand out: In gymnastics, we have carried out some physical condition measurements that are very important for achieving good synchronization. In the future, we will use Artificial Intelligence to help objectively test gymnasts’ synchronization. In handball, we are interested in developing algorithms that allow for the automatic detection of collective tactical actions, which would enable a more complete analysis of the game and its evolution. Finally, we are interested in the use of sports in the recovery process of people with certain pathologies. Specifically, we are interested in developing a mobile application focused on physical activity for cancer patients. This application will provide comprehensive monitoring of their physical condition and suggest personalized exercises to meet their needs.
For an athlete to achieve optimal performance, they must have good physical condition. The studies on physical activity carried out in this thesis can not only improve performance but are also important for preventing injuries or predicting diseases such as heart conditions. This is why we are interested in data analysis to monitor these aspects. The physical characteristics and movements of athletes will be analyzed using electronic devices for data collection and mathematical tools for further study. Proprietary mathematical algorithms will be developed for the automatic and real-time analysis of data. We are interested in studying a wide variety of sports, but in this thesis, we will focus on canoeing, futsal, and HIIT training. For each of the studies, we will carry out the following tasks: Conduct regular meetings between the coaching staff and our team to plan the studies to be carried out and to receive the necessary training. Use software for data acquisition and preliminary analysis. Create our own algorithms using numerical analysis, big data, and artificial intelligence. Test the algorithms. Create guidelines for the use of the algorithms. The progress achieved will be beneficial for improving physical condition and health. It is worth mentioning that, together with the Cartagena City Council, we are involved in a Chair in this area. Specifically, in canoeing, we propose to implement automatic detection of training phases and provide quantitative metrics for the evaluation of technique, power, and endurance, offering coaches and athletes an objective tool for performance optimization. Our goal is to automate the analysis task that is currently performed manually. For HIIT, we propose an automated algorithm to identify key heart rate parameters in real time, eliminating the need for manual supervision. The algorithm detects local maxima and minima in heart rate signals recorded during training sessions and calculates ascending and descending slopes, as well as intermediate averages, to assess cardiovascular response and recovery. We developed a tool for the objective and dynamic analysis of heart rate in futsal, with the potential to improve performance and health monitoring in the sport, laying the groundwork for future research to validate its accuracy and explore the usefulness of dynamic metrics. It could be used to optimize substitution strategies. As for future work, three areas stand out: In gymnastics, we have carried out some physical condition measurements that are very important for achieving good synchronization. In the future, we will use Artificial Intelligence to help objectively test gymnasts’ synchronization. In handball, we are interested in developing algorithms that allow for the automatic detection of collective tactical actions, which would enable a more complete analysis of the game and its evolution. Finally, we are interested in the use of sports in the recovery process of people with certain pathologies. Specifically, we are interested in developing a mobile application focused on physical activity for cancer patients. This application will provide comprehensive monitoring of their physical condition and suggest personalized exercises to meet their needs.
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