Home >> Archive >>Vol:1, No:2>>Spectral Characteristics of Intestinal Sounds

Spectral Characteristics of Intestinal Sounds

| Çağlar Cengizler | | Ayşe Gizem Ünal |

Year: 2022 | Vol: 1 | No: 2 | PP 78-86

In today's modern medical practice, many imaging techniques are used for diagnosis or treatment. Some of these methods directly and some indirectly provide information about the target organ or region. At that point, it would be possible to accept that the acquisition of information about the internal parts of the body may be critical for diagnosis. In addition to the capabilities of medical imaging techniques, acoustic monitoring is also accepted as one of the supportive medical approaches today. Accordingly, thanks to the increased processing power of computers and developed algorithms, the analysis of sounds obtained from the heart, lungs and abdomen has become more detailed and accurate day by day. In this study, an acoustic instrument was developed and sounds were collected from the abdomen with the help of this device. Acoustic data on intestinal activity were obtained by filtering the collected sounds on the computer. The spectral characteristic of this data is revealed with various features for further diagnostic studies.

Acoustic; Intestinal; Spectral; Features
Full Paper (PDF)

Rights and permissions
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. According to Creative Commons: This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

  1. Nowak, J. K.; Nowak, R.; Radzikowski, K.; Grulkowski, I. and Walkowiak, J. Automated bowel sound analysis: an overview. In Sensors, 21 (16): 5294, 2021.
  2. Durup-Dickenson, M.; Christensen, M. K. and Gade, J. Abdominal auscultation does not provide clear clinical diagnoses. In Surgical gastroenterology, 18 (32): 2, 2013.
  3. Felder, S.; Margel, D.; Murrell, Z. and Fleshner, P. Usefulness of bowel sound auscultation: a prospective evaluation. In Journal of Surgical Education, 71 (5): 768-773, 2014.
  4. Cengizler, &.; "Un, M K. and B"uy"ukkurt, S. A nature-inspired search space reduction technique for spine identification on ultrasound samples of spina bifida cases. In Scientific Reports, 10 (1): 1-12, 2020.
  5. Cengizler, C.; "Un, M K. and Buyukkurt, S. A novel evolutionary method for spine detection in ultrasound samples of spina bifida cases. In Computer Methods and Programs in Biomedicine, 198: 105787, 2021.
  6. Ulusar, U. D Recovery of gastrointestinal tract motility detection using Naive Bayesian and minimum statistics. In Computers in biology and medicine, 51: 223-228, 2014.
  7. Ching, S. S. and Tan, Y. K. Spectral analysis of bowel sounds in intestinal obstruction using an electronic stethoscope. In World Journal of Gastroenterology: WJG, 18 (33): 4585, 2012.
  8. Mansy, HA and Sandler, RH Detection and analysis of gastrointestinal sounds in normal and small bowel obstructed rats. In Medical and Biological Engineering and Computing, 38 (1): 42-48, 2000.
  9. Peeters, G. A large set of audio features for sound description (similarity and classification) in the CUIDADO project. In CUIDADO Ist Project Report, 54 (0): 1-25, 2004.
  10. Vakkuri, A.; Yli-Hankala, A; Talja, P; Mustola, S; Tolvanen-Laakso, H; Sampson, Tl and Vierti"o-Oja, H Time-frequency balanced spectral entropy as a measure of anesthetic drug effect in central nervous system during sevoflurane, propofol, and thiopental anesthesia. In Acta Anaesthesiologica Scandinavica, 48 (2): 145-153, 2004.
  11. Scheirer, E. and Slaney, M. Construction and evaluation of a robust multifeature speech/music discriminator. In 1997 IEEE international conference on acoustics, speech, and signal processing, pages 1331-1334, 1997.
  12. Bachu, RG; Kopparthi, S; Adapa, B and Barkana, BD Separation of voiced and unvoiced using zero crossing rate and energy of the speech signal. In American Society for Engineering Education (ASEE) zone conference proceedings, pages 1-7, 2008.
  13. Kumari, M; Kumar, P and Solanki, SS CLASSIFICATION OF NORTH INDIAN MUSICAL INSTRUMENTS USING SPECTRAL FEATURES. In Computer Science & Telecommunications, 29 (6), 2010.
  14. Fox, M. R; Kahrilas, P. J; Roman, S.; Gyawali, C P.; Scott, S M.; Rao, S. S; Keller, J. and Camilleri, M. Clinical measurement of gastrointestinal motility and function: who, when and which test?. In Nature Reviews Gastroenterology & Hepatology, 15 (9): 568-579, 2018.