| dc.description.abstract | Electrocardiogram (ECG) is an electrical signal containing information about the
condition and functioning of the heart. Nowadays, many types of arrhythmias can be
efficiently diagnosed based on this signals. In this study, we developed a software based
on Matlab GUI to analyze ECG data recorded from the ECG 9620 Nihon Kohden device.
The software read data, calculated Heart Rate, detected and analyzed PR, RR, ST
intervals and width of QRS. Algorithms were developed to identify arrhythmia. In this
study, Fast Independent Component Analysis (Fast ICA) method is also utilized to
extract fetal ECG (FECG) from maternal ECG and calculate heart rate of fetal. The
software is also very friendly to users and allowed medical doctors and staff to work and
analyze those data conveniently. We tested the software with over 300 ECG data and
FECG data obtained from simulators and patients monitored by experts and medical
doctors. The software could recognize 12 types of common arrhythmia types with good
precision and help users to analyze fetal ECG with high accuracy without invasive
measurement method. These results indicated that our software is useful to support
medical staff to detect arrhythmias and monitor FECG. | en_US |
