Preprocessing and spectral analysis of arterial blood pressure signals in conscious rats

    LIU Xin1, CHENG JiuHua2, LU HongBing1, ZHANG LiFan2, DONG XiuZhen1

    1Department of Computer Application, School of Biomedical Engineering, 2Department of Aerospace Physiology, School of Aerospace Medicine, Fourth Military Medical University, Xian 710033, China

    【Abstract】 AIM: To apply preprocessing and spectral analysis of systolic blood pressure and heart rate signals in conscious rats to evaluate changes in cardiovascular regulatory function induced by simulated weightlessness. METHODS: The tailsuspended, hindlimbunloaded (HU) rat model was used to simulate the cardiovascular effect of microgravity. A pressure transducer connected to a PE50-PE10 catheter was inserted via the right femoral artery into the posterior abdominal aorta in conscious rats. We applied first derivative and template match algorithm to obtain systolic blood pressure variability (SBPV) data form original blood pressure data. PP time series extracted form the SBP time series were used to substitute the data of RR time series. SBPV data were analyzed by periodogram. RESULTS: An algorithm of first derivative and template match was suitable for effectively identifying SBP time series. The PP time series could replace RR time series. Power spectrum of SBPV, estimated by periodogram could be divided into 3 different frequency bands, very low frequency, low frequency, and high frequency. CONCLUSION: Periodogram is a useful method for blood pressure data processing, which is effective in detecting cardiovascular dysfunction in conscious rats after a 14d simulated microgravity, and may be helpful for cardiovascular signal analysis in conscious rats. ...... 婵″倹鐏夐幃銊ユ躬娴ｈ法鏁ら幍瀣簚缁涘绁︾憴鍫熸閺冪姵纭堕弻銉ф箙閹存牔绗呮潪钘夊弿閺傚浄绱濋崣顖濆厴閺勵垵顫﹂幖婊呭偍瀵洘鎼告径杈╂埂閳ユ粏娴嗛惍浣测偓婵撶礉鐠囬鍋ｉ崙璇茬潌楠炴洘娓舵稉瀣煙閻ㄥ嫧鈧粎鏁搁懘鎴犲閳ユ繃鍨ㄩ垾婊冨斧缂冩垿銆夐垾婵婎問闂傤喓鈧拷


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