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Modelling the relationship between peripheral blood pressure and blood volume pulses using linear and neural network system identification techniques
J. Allen
, A. Murray
Newcastle University
Freeman Hospital
Research output
:
Contribution to journal
›
Article
›
peer-review
66
Citations (Scopus)
Overview
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Dive into the research topics of 'Modelling the relationship between peripheral blood pressure and blood volume pulses using linear and neural network system identification techniques'. Together they form a unique fingerprint.
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Physics
Algorithms
12%
Artificial Neural Network
12%
Assessments
12%
Blood Pressure
87%
Circulation
12%
Computers
12%
Independent Variables
25%
Model
25%
Output
25%
Parameter Estimation
25%
Pulses
62%
System Identification
25%
Time Constant
25%
Waveform
75%
Medicine and Dentistry
Arterial Pressure
12%
Blood
50%
Blood Pressure
75%
Clinical Assessment
12%
Finger
12%
Male
12%
Measurement
12%
Photoelectric Plethysmography
12%
Pulse Rate
37%
Engineering
Blood Volume
50%
Fit Model
12%
Neural Network System
12%
Peripheral Blood
37%
Pressure System
12%
Biochemistry, Genetics and Molecular Biology
Peripheral Circulation
12%
Tau
100%