Breath Ammonia Analysis for the Purpose of Dialysis Efficiency Evaluation
It is known that breath ammonia tightly associates with renal failure. One standard treatment for this condition is dialysis to help patient remove more urea and creatinine from the blood. It has been reported that there is a reduction in the ammonia concentration in expired breath of patients as dialysis proceeds. Therefore, this paper attempts to exploit the possibility of evaluation the efficiency of dialysis via measuring the concentration of breath ammonia. In the experiment, we traced the condition of a group of patients with renal failure by collecting their breath samples before and after dialysis, respectively. The breath signals were obtained by a self-designed breath analysis system. To obtain the most accurate classification result, the geometry features, which can represent the most relevant pathological features, were extracted and support vector regression (SVR) method was employed to calculate the classification result. The experimental result showed that there was a quite high accuracy to classify a unknown sample into either pre-dialyzed group or dialyzed group. This approach can provide a fast, painless, and costeffective in situ monitor the progress of dialysis in real time.
Shiwei Li Naimin Li
School of Medicine, Shanghai Jiaotong University Shanghai 200025, P.R. China Department of Computer Science and Engineering Harbin Institute of Technology Harbin 150001, P.R. Ch
国际会议
上海
英文
669-673
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）