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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
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Vasist, Santosh N
, 
Parvati Bhat

Parvati Bhat

Melaka Manipal Medical College (MMMC), Manipal Academy of Higher Education (MAHE)Manipal, India
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Bhat, Parvati
, 
Shrutin Ulman

Shrutin Ulman

Philips HealthcareBangalore, India
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Ulman, Shrutin
 et 
Harishchandra Hebbar

Harishchandra Hebbar

Manipal School of Information Sciences (MSOIS), Manipal Academy of Higher Education (MAHE)Manipal, India
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Hebbar, Harishchandra
  
31 mars 2022
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Publié en ligne: 31 mars 2022
Pages: 4 - 9
DOI: https://doi.org/10.2478/joeb-2022-0002
Mots clés
© 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.
Vasist, Santosh N
Manipal School of Information Sciences (MSOIS), Manipal Academy of Higher Education (MAHE)Manipal, India
Bhat, Parvati
Melaka Manipal Medical College (MMMC), Manipal Academy of Higher Education (MAHE)Manipal, India
Ulman, Shrutin
Philips HealthcareBangalore, India
Hebbar, Harishchandra
Manipal School of Information Sciences (MSOIS), Manipal Academy of Higher Education (MAHE)Manipal, India
Langue:
Anglais
Périodicité:
1 fois par an
Sujets de la revue:
Ingénierie, Génie biologique et génie biomédicale, Électronique biomédicale, Sciences de la vie, Biophysique, Médecine, Génie biomédical, Physique, Spectroscopie et métrologie
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