ANDROID APPLICATION AND PCB DESIGN ON WEARABLE HEART RATE MONITORING DEVICE

• Main Author: Rifqy Pratama, Achmad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/66618
• Institution: Institut Teknologi Bandung

Heart rate is a crucial indicator of cardiovascular disease and a reflection of heart health conditions. According to a study by Yale School of Public Health, only 22.1% of men and 29.5% of women with heart disease had checked to the doctor before being hospitalized. In response to that problem, a heart rate monitoring device is needed that can be used to detect the possibility of early cardiovascular disease by measuring the number and pattern of heartbeat rhythms, even more, it can be done on a regular basis. To build this wearable device, the author will design two subdevices. First, Android-based applications as a visualization medium and data processing center to detect abnormalities in the user’s heart rate trends, and secondly Printed Circuit Board (PCB) as a medium for data acquisition in realtime. By using a combination of machine learning modeling with the RNN-LSTM architecture to classify the intensity of user activity and basic mathematic algorithm in the form of a moving average of sequential heart rate values, the author succeeded in designing an Android application to visualize heart rate rhythm patterns and group them respectively at a light and medium-heavy activity intensities in real-time with an accuracy of 97.47% to estimate the presence of heart rate abnormalities in the form of tachycardia and bradycardia based on the intensity of the user’s activity. In addition, Android applications have successfully archived these data in Android's internal storage and synchronize to Amazon Web Service (AWS) as a cloud storage platform, so that it can be accessed at any time for further analysis purposes.