Modifiable Wearable Wireless Research Grade ECG
Authors: Bianca Tenocelotl, Pranit Ravuri, Dennis Ng
Advisor: Dr. Alessandro Bellofiore
Electrocardiography (ECG) results in electrical signal measurements from the heart. The interpretation of the signals remains the premier non-invasive method for analyzing and diagnosing heart health since 1924. However, the signals acquired via ECG frequently come with unwanted electrical noise in many use case scenarios. Here, we aim to create a wireless custom research grade ECG device that is wearable. Matlab algorithms will be incorporated to reduce the electrical noise from the raw data signal. We will compare our custom-built ECG to a commercial grade, BIOPAC MP160, device by testing them on subjects simultaneously. Additional tests include the use of an arrhythmia simulator to test for false positives and true negatives. The quality of the custom built research ECG device will be determined in terms of accuracy, sensitivity, and specificity. The results should allow for recommendations to reduce noise in ECG readings and lead to more accurate patient diagnosis in the long term.