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USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK

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Paper Details

Authors:
Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W Wood, Pierre Boulanger, Raj Padwal
Submitted On:
13 April 2018 - 12:27pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Shrimanti Ghosh
Paper Code:
2274
Document Year:
2018
Cite

Document Files

ICASSP_2018_Poster.pdf

(151)

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[1] Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W Wood, Pierre Boulanger, Raj Padwal, "USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2727. Accessed: Sep. 21, 2020.
@article{2727-18,
url = {http://sigport.org/2727},
author = {Shrimanti Ghosh; Ankur Banerjee; Nilanjan Ray; Peter W Wood; Pierre Boulanger; Raj Padwal },
publisher = {IEEE SigPort},
title = {USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK},
year = {2018} }
TY - EJOUR
T1 - USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK
AU - Shrimanti Ghosh; Ankur Banerjee; Nilanjan Ray; Peter W Wood; Pierre Boulanger; Raj Padwal
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2727
ER -
Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W Wood, Pierre Boulanger, Raj Padwal. (2018). USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK. IEEE SigPort. http://sigport.org/2727
Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W Wood, Pierre Boulanger, Raj Padwal, 2018. USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK. Available at: http://sigport.org/2727.
Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W Wood, Pierre Boulanger, Raj Padwal. (2018). "USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK." Web.
1. Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W Wood, Pierre Boulanger, Raj Padwal. USING ACCELEROMETRIC AND GYROSCOPIC DATA TO IMPROVE BLOOD PRESSURE PREDICTION FROM PULSE TRANSIT TIME USING RECURRENT NEURAL NETWORK [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2727