Department of Biomedical Engineering, Zhejiang University, Key Laboratory of Biomedical Engineering of MOE (Yuquan Campus), Hangzhou, China.
Med Biol Eng Comput. 2010 Apr;48(4):399-405. doi: 10.1007/s11517-010-0589-y. Epub 2010 Mar 6.
Deceleration capacity (DC) of heart rate is a novel indicator of autonomic nervous system (ANS) activity. In this paper, we proposed a modified DC index based on improved phase-rectified signal averaging (PRSA) algorithm. Sinusoidal analysis is applied to elucidate the rationality of the improved PRSA. Then the validity of the modified DC is verified by the databases of chronic heart failure (CHF) patients and control group. Both the conventional and modified DCs are significantly lower in CHF patients than that in the control group (2.12 +/- 2.98 vs. 6.34 +/- 1.92 ms, P < 0.0001 and 5.45 +/- 2.48 vs. 10.64 +/- 1.76 ms, P < 0.0001, respectively). And the modified DC provides higher accuracy in distinguishing CHF than the conventional one (87.4 vs. 82.1%). The results indicate that the suggested technique enhances the performance of PRSA and improves the efficiency of DC in assessing ANS activity in CHF patients.
心率减速能力（DC）是自主神经系统（ANS）活动的一个新指标。在本文中，我们提出了一种基于改进的相位校正信号平均（PRSA）算法的修正 DC 指数。正弦分析用于阐明改进的 PRSA 的合理性。然后，通过慢性心力衰竭（CHF）患者和对照组的数据库验证了修正 DC 的有效性。与对照组相比，CHF 患者的常规和修正 DC 明显降低（分别为 2.12 +/- 2.98 与 6.34 +/- 1.92 ms，P < 0.0001 和 5.45 +/- 2.48 与 10.64 +/- 1.76 ms，P < 0.0001）。并且修正 DC 在区分 CHF 患者方面比常规 DC 具有更高的准确性（87.4%比 82.1%）。结果表明，所提出的技术增强了 PRSA 的性能，并提高了 DC 评估 CHF 患者 ANS 活动的效率。
