Cardiac disease is a common diagnosis for aging dogs. An irregular heart rhythm is an early indicator of cardiac decline, often prompting veterinarians to recommend regular monitoring of the pet's resting heart rate and breathing rate at home. Resting vital sign data offers insights into the disease progression and can signal the need for medication adjustments or surgical intervention. Moreover, the early detection of physiological changes is essential in managing chronic heart conditions, as many are progressive and ultimately lead to congestive heart failure over time. The current method that is often used involves the owner manually recording their pet's vital signs, however, this can be prone to error and burdensome. My project aims to develop an automated system that provides heart rate and respiration rate measurements to both pet owners and veterinarians, thus making at-home pet monitoring more efficient while providing reliable data. As a result, this system may enable earlier intervention and long-term care management for dogs living with chronic heart conditions. The system utilizes two wearable sensors that measure heart rate and respiration rate data. The data is transmitted via Bluetooth from the sensors to the iOS app that I developed. The app then receives the data, decodes, displays, and stores the collected measurements for analysis. Through the app, the user is able to view displays of real-time vital sign data as well as historical data for trend analysis. Preliminary testing of the system demonstrates reliable wireless communication between the sensors and the mobile app. Additional testing verified the accuracy of recorded human vital sign data and confirmed the system's ability to store and display the collected data measurements over time. This presentation will discuss the system design, final animal testing results, and the overall performance of the automated wearable health monitoring system.
Primary Speaker
Livy Bottomley
Faculty Sponsors
Cherrice Traver
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Moderator
Matthew Anderson