Detecting ventricular tachycardia and fibrillation by complexity measure

作者：Zhang, XS^*; Zhu, YS; Thakor, NV; Wang, ZZ

来源：IEEE Transactions on Biomedical Engineering, 1999, 46(5): 548-555.

DOI：10.1109/10.759055

• arrhythmia detection
• automatic external defibrillators
• complexity measure
• ventricular fibrillation

Sinus rhythm (SR), ventricular tachycardia (VT) and ventricular fibrillation (VF) belong to different nonlinear physiological processes with different complexity, In this study, we present a novel, and computationally fast method to detect VT and VF, which utilizes a complexity measure suggested by Lempel and Ziv [1]. For a specific window length (i.e., the length of data segment to be analyzed), the method first generates a 0-1 string by comparing the raw electrocardiogram (ECG) data to a selected suitable threshold, The complexity measure can be obtained from the 0-1 string only using two simple operations, comparison and accumulation. When the window length is 7 s, the detection accuracy for each of SR, VT, and VF is 100% for a test set of 204 body surface records (34 SR, 85 monomorphic VT, and 85 VF), Compared with other conventional time- and frequency-domain methods, such as rate and irregularity, VF-filter leakage, and sequential hypothesis testing, the new algorithm is simple, computationally efficient, and well suited for real-time implementation in automatic external defibrillators (AED's).

• 出版日期1999-5
• 单位上海交通大学