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Nor, MBM
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Nor, MBM
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Nor, MBM
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1
Assessing the Asynchrony Event Based on the Ventilation Mode for Mechanically Ventilated Patients in ICU
by
Chiew, YS
,
Damanhuri, NS
,
Meng, BCC
,
Nor
,
MBM
,
Othman, NA
,
Sauki, NSM
Published 2021
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2
Network Data Acquisition and Monitoring System for Intensive Care Mechanical Ventilation Treatment
by
Chase, JG
,
Chiew, YS
,
Damanhuri, NS
,
Ng, QA
,
Nor
,
MBM
,
Tan, CP
,
Wang, X
Published 2021
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3
Assessing the asynchrony event based on the ventilation mode for mechanically ventilated patients in ICU
by
Chiew, Y.S
,
Damanhuri, N.S
,
Meng, B.C.C
,
Nor
,
M.B.M
,
Othman, N.A
,
Sauki, N.S.M
Published 2021
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4
Do we need different predictive equations for the acute and late phases of critical illness? A prospective observational study with repeated indirect calorimetry measurements
by
Hakumat-Rai, VR
,
Hasan, MS
,
Kee, CC
,
Lee, ZY
,
Majid, HA
,
Nor
,
MBM
,
Poh, BK
,
Tah, PC
,
Zaman, MK
Published 2021
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5
Network Data Acquisition and Monitoring System for Intensive Care Mechanical Ventilation Treatment
by
Chase, J.G
,
Chiew, Y.S
,
Damanhuri, N.S
,
Ng, Q.A
,
Nor
,
M.B.M
,
Tan, C.P
,
Wang, X.
Published 2021
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Related Subjects
Data acquisition
Mechanical ventilation
Mechanical ventilation (MV)
Ventilation
data management platform (DMP)
network data acquisition
respiratory mechanics
ventilator waveform data (VWD)
ACUTE LUNG INJURY
ADULTS
ARDS
Analysis of waveform
Asynchrony events
Automation
Biological organs
Data-acquisition devices
Decision making
Digital storage
END-EXPIRATORY PRESSURE
ENERGY-EXPENDITURE
FAILURE
Graphical user interfaces
ILL PATIENTS
INJURY
Information management
Intensive care units
Learning systems
Lung elastance
MASS
MODEL
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