Suppress false arrhythmia alarms of ICU monitors using heart rate estimation based on combined arterial blood pressure and ECG analysis
Intensive care unit (ICU) monitors generate a high rate of false alarms when physiological signals are severely corrupted by noise. To suppress the false life-threatening heart rate (HR)-related electrocardiogram arrhythmia alarms, data derived from arterial blood pressure (ABP) signal were used. A new ABP signal quality index (SQI) was designed based upon the combination of two previously reported signal quality measures. HR was then tracked based on beat detection from ABP and a Kalman filter with a SQI-modified update sequence. Using the SQI to reject noisy ABP data, false HR-related arrhythmia alarms were rejected by comparing the estimated ABP-derived HR to the monitors HR threshold. The algorithm was evaluated on 707 episodes of extreme bradycardia and 1877 episodes of extreme tachycardia alarms produced by a commercial ICU monitoring system. The false alarm reduction rate was 74.13％ and 53.81％, and the corresponding true alarm acceptance rate was 99.60％ and 99.58％ for extreme bradycardia and extreme tachycardia respectively. Combining ECG and ABP information therefore provides a significant reduction in false alarms with minimal impact on true alarms.
arterial blood pressure false alarm reduction heart rate estimation intensive care unit Kalman filter signal quality
Qiao Li Gari D. Clifford
Institute of Biomedical Engineering, School of Medicine, School of Control Science and Engineering, Harvard–MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambr
国际会议
上海
英文
2185-2187
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）