KnowPain: Automated System for Detecting Pain in Neonates from Videos.

Rajkumar Theagarajan; Bir Bhanu; Danilyn Angeles; Federico Pala; Danilyn M. Angeles

KnowPain: Automated System for Detecting Pain in Neonates from Videos.

Rajkumar Theagarajan
, Bir Bhanu
, Danilyn Angeles
, Federico Pala
, Danilyn M. Angeles

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Bioinformatics and Bioengineering
State	Published - Jan 1 2018

Disciplines

Computer Sciences
Artificial Intelligence and Robotics

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@article{58455d602e3842d592ee1904453bee59,

title = "KnowPain: Automated System for Detecting Pain in Neonates from Videos.",

author = "Rajkumar Theagarajan and Bir Bhanu and Danilyn Angeles and Federico Pala and Angeles, \{Danilyn M.\}",

note = "Premature neonates are subjected to clinically required but painful procedures throughout their hospitalization. Since neonates are non-verbal, pain scorin",

year = "2018",

month = jan,

day = "1",

language = "American English",

journal = "Bioinformatics and Bioengineering",

}

TY - JOUR

T1 - KnowPain: Automated System for Detecting Pain in Neonates from Videos.

AU - Theagarajan, Rajkumar

AU - Bhanu, Bir

AU - Angeles, Danilyn

AU - Pala, Federico

AU - Angeles, Danilyn M.

N1 - Premature neonates are subjected to clinically required but painful procedures throughout their hospitalization. Since neonates are non-verbal, pain scorin

PY - 2018/1/1

Y1 - 2018/1/1

UR - https://doi.org/10.1109/BIBE.2018.00032

M3 - Article

JO - Bioinformatics and Bioengineering

JF - Bioinformatics and Bioengineering

ER -

KnowPain: Automated System for Detecting Pain in Neonates from Videos.

Disciplines

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