Register or Log In

International Society for Industrial Process Tomography

10th World Congress on Industrial Process Tomography

Epigastric Region Conductivity Investigation with K-means Clustering by a Low-power and Handy Gastric Monitoring System

R. Wicaksono1, M. R. Baidillah1, P. N. Darma1, M. Takei1, A. Inoue2, H. Tsuji2

1Graduate School of Science & Engineering, Dept. Mechanical Eng., Chiba University, Chiba, Japan
2Research Division, Asahi Kasei, Tokyo, Japan



Epigastric region conductivity has been successfully investigated during the emptying process by using a low-power and handy gastric monitoring (handy-GM) system with K-means clustering. The proposed system was made from a combination of ARM-based and FPGA-based as a data acquisition (DAQ) with a wearable abdominal sensor. The electrical impedance tomography (EIT) with K-means identifies the gastric conductivity distribution into a cross-sectional image of thoracic 8 (T8) on the abdominal area, which is dominated by gastric tissue. In the experiments, 16 samples of cross-sectional images on the epigastric region successfully show the different gastric conductivity distribution>of the emptying process through 16 electrodes wearable sensor. The clustered conductivity supports the EIT algorithm to classify the gastric region by overcoming the blur effect. By drinking 500 mL of rehydration water with 0.69S/m of conductivity, the results show that the retention level gradually decreased by 70.35% from the full to empty state during 30 minutes of assessment. From the results, the developed DAQ consumes only 3.67W of average power with dimensions 110mm x 66mm x 51mm and weight 0.16kg while the bulky-EIT system needs over 19.56W.

Keywords: Epigastric region, handy gastric monitoring, K-means clustering, gastric retention level

Industrial Application: Biomedical Instrumentation

to access the full text