Chang S, Mao S T, Kuo T P, Hu S J, Lin W C, Cheng C L
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, ROC.
Chin J Physiol. 1999 Mar 31;42(1):25-31.
The physiological signals are usually extremely complicated and difficult to analyze. Recently, investigators have tried the fractal dimension that can characterize roughness and self-similarity of them. It turns out that it is also suitable for obtaining the modalities of lower urinary tract during normal micturition. In this investigation, the external urethral sphincter electromyogram (EUS EMG) and the cystometrogram (CMG) of the Wistar rats under both room temperature and cold water stimulation of the bladder are studied. The modified relative differential box-counting (RDBC) method is used to calculate the fractal dimensions of EMG and CMG time series. According to the experimental results, the modalities of micturition for the Wistar rats can be characterized as normal if both the fractal dimensions of EMG and CMG are of low values during voiding. Furthermore, the technique is validated in identifying the dyssynergia of the bladder and EUS under cold water stimulation.
生理信号通常极其复杂且难以分析。最近,研究人员尝试使用分形维数来表征它们的粗糙度和自相似性。结果表明,它也适用于获取正常排尿期间下尿路的模式。在本研究中,对室温下以及膀胱冷水刺激下的Wistar大鼠的尿道外括约肌肌电图(EUS EMG)和膀胱压力容积图(CMG)进行了研究。采用改进的相对差分盒计数(RDBC)方法计算EMG和CMG时间序列的分形维数。根据实验结果,如果排尿期间EMG和CMG的分形维数均为低值,则Wistar大鼠的排尿模式可表征为正常。此外,该技术在识别冷水刺激下膀胱和EUS的协同失调方面得到了验证。