Ingeniería en Sistemas, Electrónica e Industrial
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Item Sistema electrónico para la cuantificación de la percepción subjetiva del dolor(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2024-02) Bonilla Bautista, Luis Enrique; Córdova Córdova, Edgar PatricioThe project focused on the creation of a revolutionary device for pain measurement in physiotherapy has achieved significant milestones in three strategic objectives. The comprehensive literature review integrated both traditional and innovative methods, providing a solid conceptual foundation for the device's development. Regarding the development of the device for measuring the maximum force a patient can withstand, remarkable success has been achieved. The scalable and patient-friendly design, coupled with compact electronics, ensures accurate force measurements. The implementation of the information management and data visualization system is highlighted as essential. The intuitive interface and secure storage in a MySQL server ensure accessibility and confidentiality of patient data. The device was designed with an ergonomic and functional electronic focus, positioning it as a valuable tool in the field of physiotherapy. This project not only fills a gap in medical tools for physiotherapy but also lays the groundwork for future innovations in pain monitoring. The combination of advanced design, robust statistical analysis, and a user-friendly interface supports the positive impact of the device on pain measurement and management, providing a unique solution in this specialized fieldItem 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 GeovannyThis 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.Item Indumentaria electrónica orientada al monitoreo del ritmo cardíaco en deportistas basado e Energy Harvesting.(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2023-03) Veloz Jaya, Alexis Israel; Manzano Villafuerte, SantiagoThis project shows the design and implementation of an electronic textile for continuous heart rate monitoring based on energy harvesting, divided into a sweater that incorporates the heart rate sensor along with the flexible solar panel for energy collection and a removable module that allows the display and sending of data. For the continuous measurement of beats per minute (bpm), the MAX30102 sensor was used, which uses the photoplethysmography method to detect the heart's pulsations based on the light reflected from the blood circulating in the blood vessels. These measurements are displayed on an oled display, located in the removable module on the chest, allowing easy viewing of data by the athlete. For data processing, the Arduino Lilypad USB microcontroller is used whose supply voltage can vary between 3.3 V and 5.5 V, for power supply to the microcontroller a flexible solar panel was used, which has a maximum output voltage of 7.9 V, this voltage is rectified by the MP1584EN reducer module whose output was adjusted so that when the solar panel delivers the maximum voltage of 7.9 V the module delivers a maximum of 5.35 V. To keep track of the data, they are sent to a database in Firebase, for which a SIM800L module using GSM/GPRS wireless technology was used. The sending of alerts for exceeding the maximum heart rate threshold is done by push notifications to the mobile device through the application developed for Android, which also allows access to the data log and to consult the connection and battery status of the clothing. Finally, bpm measurements are 98%, which is within the ANSI/AAMI EC13 standard, which establishes a percentage of up to ± 10% or ± 5bpm error. The solar panel allows up to 6 hours of energy autonomy for the electronic clothing on a sunny day and 5 hours on a cloudy day.