Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- ECG-based heartbeat classification for arrhythmia detection: a step-by-step AI exploratory process(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-12) Silva Mendez, Adrian; TAMEZ PEÑA, JOSE GERARDO; 67337; Tamez Peña, José Gerardo; emipsanchez; Gutiérrez Ruiz, Dania; Santos Díaz, Alejandro; Martínez Ledesma, Juan Emmanuel; School of Engineering and Sciences; Campus MonterreyThis document presents the thesis of “ECG-based heartbeat classification for arrhythmia detection: A step-by-step AI Exploratory Process” for the degree of Master in Computer Science at Tecnológico de Monterrey. One of the biggest causes of death around the world (including third and first world countries) are Cardiovascular Diseases. Arrhythmia is one of those diseases in which the heart beats at an inconsistent and abnormal rhythm due to a malfunction in the electrical system of the heart. The detection, diagnosis, and classification are very challenging tasks for doctors as time is a crucial factor on the table. If it is not done in time, the patient’s life can be at risk. This proposal explores different Data Pre-processing and Feature Generation techniques to create an efficient and accurate binary classification model capable of distinguishing normal from abnormal heartbeats with an Accuracy and Sensitivity ranging in the 80-90% with a 10% increase when compared to a RAW feature vector. One of the most important ideas discussed throughout this thesis includes decomposing the ECG signal in Frequency and Time domains usingDual Tree Complex Wavelet Transform to create a Feature Vector. Another important highlight of this thesis is database manipulation, including the exclusion and the correct distribution of subjects across the training and testing sets. The approach aims to test the feature vectors by training different Supervised Learning Models including K Nearest Neighbours, Random Forest, and X-Gradient Boosting. We will be using the MIT-BIH Arrhythmia Database for the experimentation process.
- The role of the mitochondrial calcium uniporter in the process of arrhythmogenesis in a murine model of acute catecholamine overload(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-05-22) Salazar Ramírez, Felipe de Jesús; SALAZAR RAMIREZ, FELIPE DE JESUS; 876167; García Rivas, Gerardo de Jesús; emipsanchez; Alves Figueiredo, Hugo Jorge; Rojas Martínez, Augusto; Ramos Mondragón, Roberto; Escuela de Medicina y Ciencias de la Salud; Campus MonterreySudden cardiac death by fulminant ventricular arrhythmias remains a concern in population with cardiac risk. Recently, the mitochondrion has been implied to be a central player in Ca2+ mishandling, with its dysfunction leading up to arrhythmogenesis. A possible starting event that could lead to most changes seen in cardiac disfunction is mitochondrial Ca2+ overload. The following research study focuses on demonstrating the effects of mitochondrial Ca2+ influx inhibition in arrhythmogenesis. A murine model of acute catecholamine (isoproterenol) overload was treated previously with mitochondrial Ca2+ transport inhibitor Ru360. Ru360 treated mice showed a complete abolishment of ventricular tachycardia and ventricular fibrillation. To characterize the possible mechanisms of action, heart mitochondria were isolated and mitochondrial function was assessed. Mitochondrial Ca2+ transport inhibition preserved mitochondrial function and membrane integrity as demonstrated by a higher respiratory control and calcium retention capacity when compared to isoproterenol-treated mice which appears to be caused by a reduced oxidative stress as a trend to preserve reduced thiol groups was shown. Given the positive results obtained in abolishing ventricular arrhythmias by inhibiting mitochondrial Ca2+ transport, it is precise to continue the characterization of the mechanisms by which this therapy exerts its effects. To fully demonstrate its efficacy and characterize its mechanism of action may lead up to a new therapeutic target and therapy that could set the bases to clinical research in the near future.