2016
DOI: 10.18178/ijsps.4.6.465-468
|View full text |Cite
|
Sign up to set email alerts
|

Optimum Unit Time on Calculating Occurrence Frequency of Bowel Sounds for Real-Time Monitoring of Bowel Peristalsis

Abstract: Long-Term and real-time bowel sound recording/analysis is useful for monitoring activity of bowel peristalsis clinically and industrially. We have studied its application with food design, nutrition management, dietary therapy, critical care and so on in mind. Therefore, we built a BS measurement/analysis system including development of the dedicated sensor for BS and the abdomen audible signal processing method. Although we got some useful knowledge as the result, the matter to consider is still left behind. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 8 publications
(6 reference statements)
0
2
0
Order By: Relevance
“…BSs can be analyzed directly by a physician or using a learning model that recognizes sounds collected using a special recording instrument [ 4 , 6 , 8 , 9 , 10 , 11 ]. For instance, Craine et al [ 4 ] used a method involving stationary-nonstationary filters with wavelet transformation, whereas Wang et al [ 7 ] used an artificial neural network and Sakata and Suzuki [ 11 ] used a classification algorithm capturing sound features.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…BSs can be analyzed directly by a physician or using a learning model that recognizes sounds collected using a special recording instrument [ 4 , 6 , 8 , 9 , 10 , 11 ]. For instance, Craine et al [ 4 ] used a method involving stationary-nonstationary filters with wavelet transformation, whereas Wang et al [ 7 ] used an artificial neural network and Sakata and Suzuki [ 11 ] used a classification algorithm capturing sound features.…”
Section: Introductionmentioning
confidence: 99%
“…BSs can be analyzed directly by a physician or using a learning model that recognizes sounds collected using a special recording instrument [ 4 , 6 , 8 , 9 , 10 , 11 ]. For instance, Craine et al [ 4 ] used a method involving stationary-nonstationary filters with wavelet transformation, whereas Wang et al [ 7 ] used an artificial neural network and Sakata and Suzuki [ 11 ] used a classification algorithm capturing sound features. Although BS measurement is not invasive and various analysis methods have been established, it requires specialized devices such as stethoscopes and contact-type recording devices that are only available in a hospital environment.…”
Section: Introductionmentioning
confidence: 99%