DOI QR코드

DOI QR Code

장음 특징 변수의 회귀 분석을 통한 장 운동성 추정법

Estimation Algorithm of Bowel Motility Based on Regression Analysis of the Jitter and Shimmer of Bowel Sounds

  • 김거식 (전북대 대학원 전자정보공학부) ;
  • 서정환 (전북대 의학전문대학원 재활의학교실) ;
  • 김민호 (전북대 대학원 전자정보공학부) ;
  • 유상훈 (전북대 대학원 전자정보공학부) ;
  • 송철규 (전북대 전기전자컴퓨터공학부, 영상정보신기술연구소)
  • 투고 : 2010.10.29
  • 심사 : 2011.01.12
  • 발행 : 2011.04.01

초록

Bowel sounds (BS) are produced by the movement of the intestinal contents in the lumen of the gastro-intestinal tract during peristalsis and thus, it can be used clinically as useful indicators of bowel motility. We devised an estimation algorithm of bowel motility based on the regression modeling of the jitter and shimmer of BS signals measured by auscultation. Ten healthy males ($23.5\pm2.1$ years) were examined. Consequently, the correlation coefficient, coefficient of determination and standard error between the colon transit times (CTT) measured by a conventional radiograph and the values estimated by our algorithm were 0.98, 0.96 and 2.86, respectively. Also, through k-fold cross validation, the average value of the absolute differences between them was $5.0\pm2.5$ hours. This method could be used as a complementary tool for the non-invasive measurement of bowel motility.

키워드

참고문헌

  1. Jackson C.R., Lee R.E., Wylie A.B.Z., Adams C., Jaffray B., "Diagnostic accuracy of the Barr and Blethyn radiological scoring systems for childhood constipation assessed using colonic transit time as the gold standard", Pediatr. Radiol., vol. 39, pp. 664-667, 2009. https://doi.org/10.1007/s00247-009-1205-x
  2. Metcalf A.M., Phillips S.F., Zinmeister A.R., MacCarty R.J., Beart R.W., Wolff B.G., "Simplified assessment of segmental colonic transit", Gastroenterology, vol. 92, pp. 40-47, 1987. https://doi.org/10.1016/0016-5085(87)90837-7
  3. Rekanos I.T., Hadjileontiadis L.J., "An iterative kurtosis-based technique for the detection of nonstationary bioacoustic signals", Signal Process., vol. 86, pp. 3787-3795, 2006. https://doi.org/10.1016/j.sigpro.2006.03.020
  4. Dimoulas C., Kalliris G., Papanikolaou G., Kalampakas A., "Long term signal detection, segmentation and summarization using wavelets and fractal dimension", Comput. Biol. Med., vol. 37, pp. 438-462, 2007. https://doi.org/10.1016/j.compbiomed.2006.08.013
  5. Yamaguchi K., Yamaguchi T., Odaka T., Saisho H., "Evaluation of gastrointestinal motility by computerized analysis of abdominal auscultation findings", J. Gastoen. Hepatol., vol. 21, pp. 510-514, 2006. https://doi.org/10.1111/j.1440-1746.2005.03997.x
  6. Ranta R., Dorr V.L., Heinrich C., Wolf D., Guillemin F., "Digestive activity evaluation by multichannel abdominal sounds analysis", IEEE T. Bio-med. Eng., vol. 57, pp. 1507-1519, 2010. https://doi.org/10.1109/TBME.2010.2040081