Towards automated solutions for predictive monitoring of neonates

Rohan Joshi

Towards automated solutions for predictive monitoring of neonates

Rohan Joshi

Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)

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Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Industrial Design
Supervisors/Advisors	Feijs, Loe M.G., Promotor van Huffel, Sabine, Promotor Andriessen, Peter, Copromotor van Pul, Carola, Copromotor
Award date	30 Aug 2019
Place of Publication	Eindhoven
Publisher	Technische Universiteit Eindhoven
Print ISBNs	978-94-6323-707-9
Publication status	Published - 30 Aug 2019

Bibliographical note

Proefschrift

Keywords

patient monitoring
predictive monitoring
alarm fatigue
Kangaroo care
ballistography
Sepsis
respiration monitoring
heart rate variability
unobtrusive monitoring
wearable sensors
regression
Logistic regression
GLMM
Bayesian model
machine learning
Clinical Decision Support
NICU
preterm infants
neonates
prematurity
decision trees
Autonomic regulation
heart rate decelerations
cardiorespiratory coupling
cardiorespiratory instability

Promotion : time and place

16.00h, Atlas, room 0.710

Access to Document

20190830_JoshiFinal published version, 9.83 MB

Cite this

@phdthesis{7027708b4f7e48f4b3d382ef212420b5,

title = "Towards automated solutions for predictive monitoring of neonates",

keywords = "patient monitoring, predictive monitoring, alarm fatigue, Kangaroo care, ballistography, Sepsis, respiration monitoring, heart rate variability, unobtrusive monitoring, wearable sensors, regression, Logistic regression, GLMM, Bayesian model, machine learning, Clinical Decision Support, NICU, preterm infants, neonates, prematurity, decision trees, Autonomic regulation, heart rate decelerations, cardiorespiratory coupling, cardiorespiratory instability",

author = "Rohan Joshi",

note = "Proefschrift",

year = "2019",

month = aug,

day = "30",

language = "English",

isbn = "978-94-6323-707-9",

publisher = "Technische Universiteit Eindhoven",

type = "Phd Thesis 1 (Research TU/e / Graduation TU/e)",

school = "Industrial Design",

}

TY - THES

T1 - Towards automated solutions for predictive monitoring of neonates

AU - Joshi, Rohan

N1 - Proefschrift

PY - 2019/8/30

Y1 - 2019/8/30

KW - patient monitoring

KW - predictive monitoring

KW - alarm fatigue

KW - Kangaroo care

KW - ballistography

KW - Sepsis

KW - respiration monitoring

KW - heart rate variability

KW - unobtrusive monitoring

KW - wearable sensors

KW - regression

KW - Logistic regression

KW - GLMM

KW - Bayesian model

KW - machine learning

KW - Clinical Decision Support

KW - NICU

KW - preterm infants

KW - neonates

KW - prematurity

KW - decision trees

KW - Autonomic regulation

KW - heart rate decelerations

KW - cardiorespiratory coupling

KW - cardiorespiratory instability

M3 - Phd Thesis 1 (Research TU/e / Graduation TU/e)

SN - 978-94-6323-707-9

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -

Towards automated solutions for predictive monitoring of neonates

Bibliographical note

Keywords

Promotion : time and place

Access to Document

Other files and links

Perinatal Medicine

Cite this

Towards automated solutions for predictive monitoring of neonates

Bibliographical note

Keywords

Promotion : time and place

Access to Document

Other files and links

Research areas

Perinatal Medicine

Cite this