Browsing by Author "Gamboa Cornejo, Kevin Renato"

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    Prototipo electrónico de monitoreo cerebral en tiempo real con enfoque en la detección temprana de enfermedades neurodegenerativas mediante técnicas de inteligencia artificial.
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Telecomunicaciones., 2026-07-09) Gamboa Cornejo, Kevin Renato; Córdova Córdova, Edgar Patricio; Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Telecomunicaciones.
    The present research arises from the global and local problematic of neurodegenerative diseases, which affect more than 55 million people worldwide. In the Ecuadorian context, approximately 100,000 people suffer from some type of dementia, facing diagnostic limitations due to high costs and the low availability of specialized equipment in provinces such as Tungurahua. The general objective of this project is to develop an electronic prototype for real-time brain monitoring to facilitate the early detection of these pathologies through the use of Artificial Intelligence (AI) techniques. The methodology is framed within applied research with bibliographic-documentary and experimental approaches. The designed system integrates low-cost hardware, including non-invasive electroencephalography (EEG) sensors and microcontrollers for the acquisition and wireless transmission of bioelectrical signals. For data processing, machine learning and deep learning algorithms are implemented to identify anomalous neuronal patterns associated with cognitive impairment. The development includes a real-time visualization interface that allows health professionals to monitor cortical activity and receive alerts based on the preliminary diagnoses of the AI model. As a result, an accessible and portable technological tool is obtained that reduces the economic gap in neurological diagnosis, promoting more inclusive and preventive medical care. It is concluded that the convergence between neuroengineering and AI offers a viable solution to improve the quality of life of patients through timely intervention in the early stages of the disease.