TY - JOUR A2 - Camomilla, Valentina AU - Chou, Yongxin AU - Zhang, Ruilei AU - Feng, Yufeng AU - Lu, Mingli AU - Lu, Zhenli AU - Xu, Benlian PY - 2017 DA - 2017/05/09 TI - A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy SP - 7406896 VL - 2017 AB - Base scale entropy analysis (BSEA) is a nonlinear method to analyze heart rate variability (HRV) signal. However, the time consumption of BSEA is too long, and it is unknown whether the BSEA is suitable for analyzing pulse rate variability (PRV) signal. Therefore, we proposed a method named sliding window iterative base scale entropy analysis (SWIBSEA) by combining BSEA and sliding window iterative theory. The blood pressure signals of healthy young and old subjects are chosen from the authoritative international database MIT/PhysioNet/Fantasia to generate PRV signals as the experimental data. Then, the BSEA and the SWIBSEA are used to analyze the experimental data; the results show that the SWIBSEA reduces the time consumption and the buffer cache space while it gets the same entropy as BSEA. Meanwhile, the changes of base scale entropy (BSE) for healthy young and old subjects are the same as that of HRV signal. Therefore, the SWIBSEA can be used for deriving some information from long-term and short-term PRV signals in real time, which has the potential for dynamic PRV signal analysis in some portable and wearable medical devices. SN - 2040-2295 UR - https://doi.org/10.1155/2017/7406896 DO - 10.1155/2017/7406896 JF - Journal of Healthcare Engineering PB - Hindawi KW - ER -