Open Access

Identification of contractions from Electrohysterography for prediction of prolonged labor

Santosh N Vasist

Santosh N Vasist

Manipal School of Information Sciences (MSOIS), Manipal Academy of Higher Education (MAHE)Manipal, India
Search for this author on
Sciendo|Google Scholar
Vasist, Santosh N
, 
Parvati Bhat

Parvati Bhat

Melaka Manipal Medical College (MMMC), Manipal Academy of Higher Education (MAHE)Manipal, India
Search for this author on
Sciendo|Google Scholar
Bhat, Parvati
, 
Shrutin Ulman

Shrutin Ulman

Philips HealthcareBangalore, India
Search for this author on
Sciendo|Google Scholar
Ulman, Shrutin
 and 
Harishchandra Hebbar

Harishchandra Hebbar

Manipal School of Information Sciences (MSOIS), Manipal Academy of Higher Education (MAHE)Manipal, India
Search for this author on
Sciendo|Google Scholar
Hebbar, Harishchandra
  
Mar 31, 2022
Identification of contractions from Electrohysterography for prediction of prolonged labor's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Mar 31, 2022
Page range: 4 - 9
DOI: https://doi.org/10.2478/joeb-2022-0002
Keywords
© 2022 Santosh N Vasist, Parvati Bhat, Shrutin Ulman, Harishchandra Hebbar, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Engineering, Bioengineering and Biomedical Engineering, Biomedical Electronics, Life Sciences, Biophysics, Medicine, Biomedical Engineering, Physics, Spectroscopy and Metrology
Journal RSS Feed