An Arrhythmia Classification Method in Utilizing the Weighted KNN and the Fitness Rule

摘要

Background: Arrhythmia is the disturbance in the heart's regular rhythmic activity. Although arrhythmia signals are generally reflected on electrocardiogram records, some arrhythmias do not continuously appear. In such cases, heart-rate variability signals may have to be obtained over long periods of time and should be inspected by experts. However, analyses by experts require a long time and may omit important information. Therefore, computer aided diagnosis systems are required to automatically detect diverse types of arrhythmias. In addition, although many efforts have been made to develop arrhythmia detection techniques, studies on algorithms that are reliable, robust, and have an excellent adaptability to diverse situations remain necessary.