Browsing by Author "Lema Yungán, John David"

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    Sistema de monitoreo no invasivo y seguridad preventiva de factores causantes del síndrome de muerte súbita de los lactantes del Centro de Estimulación Temprana y Prenatal “Neuro Place” a través de smart textil
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2023-09) Lema Yungán, John David; Benalcázar Palacios, Freddy Geovanny
    This project focuses on the development of an innovative Smart Textile for monitoring vital signs in infants, with the goal of preventing sudden infant death syndrome. The Smart Textile, specifically designed for the "Neuro Place" Early and Prenatal Stimulation Center, will be used by professionals at the center to monitor the infants. The project aims to provide a reliable and effective technological solution for continuous monitoring of infants' vital signs through smart fabric. During the development process of this project, the ESP32 Feather microcontroller was utilized as the central unit responsible for controlling the GY-MAX30102 sensor and the MPU-6050 sensor within the Smart Textile. The GY-MAX30102 sensor. based on photoplethysmography principles, accurately measures the infant's heart rate and blood oxygen saturation. On the other hand, the MPU-6050 sensor, equipped with an accelerometer, is used to identify and track the infant's position. Additionally, an OLED display with I2C technology was incorporated into the Smart Textile, enabling real-time visualization of the collected data. For data transmission Wi-Fi technology was employed, with the module integrated into the chosen microcontroller, to send the collected data from the microcontroller to the cloud. To facilitate interaction with the Smart Textile, a mobile application was developed using the Flutter Framework. This mobile application serves as an interface between the staff at the stimulation center and the Smart Textile allowing them to register the infant, measure vital signs, access data records, and check the battery status of the Smart Textile By utilizing the Firebase platform as the backend and developing specific scripts, the capability to send alerts to the mobile device through push notifications was enabled in case any anomalies in the infant's vital signs are detected. This ensures a prompt and efficient response to risky situations, providing the staff at the stimulation center with the opportunity to take appropriate and timely actions Finally, a reliability percentage of 98.02% was achieved for heart rate measurements. while the reliability percentage for blood oxygen saturation measurements was 98.27%. These values reflect the accuracy and dependability of the measurements conducted through the Smart Textile. The Smart Textile's battery autonomy is approximately 12.41 hours, offering ample operational time.