Angeli Timothy R, O'Grady Gregory, Erickson Jonathan C, Du Peng, Paskaranandavadivel Niranchan, Bissett Ian P, Cheng Leo K, Pullan Andrew J
Riddet Institute, New Zealand.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4951-4. doi: 10.1109/IEMBS.2011.6091227.
In this study, novel methods were developed for the in-vivo high-resolution recording and analysis of small intestine bioelectrical activity, using flexible printed-circuit-board (PCB) electrode arrays. Up to 256 simultaneous recordings were made at multiple locations along the porcine small intestine. Data analysis was automated through the application and tuning of the Falling-Edge Variable-Threshold algorithm, achieving 92% sensitivity and a 94% positive-predictive value. Slow wave propagation patterns were visualized through the automated generation of animations and isochronal maps. The methods developed and validated in this study are applicable for use in humans, where future studies will serve to improve the clinical understanding of small intestine motility in health and disease.
在本研究中,利用柔性印刷电路板(PCB)电极阵列开发了用于小肠生物电活动体内高分辨率记录和分析的新方法。沿着猪小肠的多个位置同时进行了多达256次记录。通过应用和调整下降沿可变阈值算法实现了数据分析自动化,灵敏度达到92%,阳性预测值达到94%。通过自动生成动画和等时图可视化慢波传播模式。本研究中开发并验证的方法适用于人类,未来的研究将有助于提高对健康和疾病中小肠运动的临床理解。