Dewar Finlay

Dewar Finlay

Ulster University

H-index: 30

Europe-United Kingdom

About Dewar Finlay

Dewar Finlay, With an exceptional h-index of 30 and a recent h-index of 21 (since 2020), a distinguished researcher at Ulster University, specializes in the field of Data Analytics, ML and AI, Healthcare Technology, ECG, Engineering Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Robust arm impedocardiography signal quality enhancement using recursive signal averaging and multi-stage wavelet denoising methods for long-term cardiac contractility …

Ventricular fibrillation waveform properties influenced by thoracic impedance guided chest compressions in a porcine model

Identifying Noisy ECG Signals in Large Datasets Using a Temporal Convolutional Neural Network Trained to Estimate Pseudo-SNR

AI-Enabled ECG Combined with Dry Electrode Sensors for Population-Based Screening of Atrial Fibrillation

Comparison of reduced lead sets in detection of common ECG abnormalities

The Impact of Pre-Ventricular Fibrillation Induction Haemodynamics on Resuscitation Success in a Porcine Model of Long Duration Paediatric Cardiac Arrest

Characterising Resuscitation Events Using Wavelet Transforms of Digital Stethoscope Recordings During Cardiac Arrest

A two-staged classifier to reduce false positives: on device detection of atrial fibrillation using phase-based distribution of Poincaré plots and deep learning

Dewar Finlay Information

University

Position

Professor of Electronic Systems

Citations(all)

3568

Citations(since 2020)

1803

Cited By

2378

hIndex(all)

30

hIndex(since 2020)

21

i10Index(all)

85

i10Index(since 2020)

50

Email

University Profile Page

Ulster University

Google Scholar

View Google Scholar Profile

Dewar Finlay Skills & Research Interests

Data Analytics

ML and AI

Healthcare Technology

ECG

Engineering Computing

Top articles of Dewar Finlay

Title

Journal

Author(s)

Publication Date

Robust arm impedocardiography signal quality enhancement using recursive signal averaging and multi-stage wavelet denoising methods for long-term cardiac contractility …

Sensors

Omar Escalona

Nicole Cullen

Idongesit Weli

Niamh McCallan

Kok Yew Ng

...

2023/6/25

Ventricular fibrillation waveform properties influenced by thoracic impedance guided chest compressions in a porcine model

Computer Methods and Programs in Biomedicine

Olibhéar McAlister

Adam Harvey

Ben McCartney

Paul Crawford

Raymond R Bond

...

2023/11/1

Identifying Noisy ECG Signals in Large Datasets Using a Temporal Convolutional Neural Network Trained to Estimate Pseudo-SNR

Peter Doggart

Alan Kennedy

Daniel Guldenring

Raymond Bond

Dewar Finlay

2023/10/1

AI-Enabled ECG Combined with Dry Electrode Sensors for Population-Based Screening of Atrial Fibrillation

Daniel Guldenring

Alan Kennedy

Dewar D Finlay

Raymond R Bond

James D McLaughlin

...

2023

Comparison of reduced lead sets in detection of common ECG abnormalities

Journal of Electrocardiology

Peter Doggart

Alan Kennedy

Dewar Finlay

Raymond Bond

Stephen Smith

2023/5/1

The Impact of Pre-Ventricular Fibrillation Induction Haemodynamics on Resuscitation Success in a Porcine Model of Long Duration Paediatric Cardiac Arrest

Resuscitation

Ben McCartney

Olibhéar McAlister

Adam Harvey

Dymphna Donaghy

Johnny Anderson

...

2023/10/31

Characterising Resuscitation Events Using Wavelet Transforms of Digital Stethoscope Recordings During Cardiac Arrest

Olibhéar McAlister

Adam Harvey

Paul Crawford

Raymond R Bond

Dewar D Finlay

2023/10/1

A two-staged classifier to reduce false positives: on device detection of atrial fibrillation using phase-based distribution of Poincaré plots and deep learning

Journal of Electrocardiology

Peter Doggart

Alan Kennedy

Raymond Bond

Dewar Finlay

Stephen W Smith

2023/1/1

Evaluation of Pulse Transit Time for Different Sensing Methodologies of Arterial Waveforms

IEEE access

Ghalib Muhammad Waqas Janjua

Dewar Finlay

Daniel Guldenring

Atta Ul Haq

James McLaughlin

2023/4/3

Influence of the Training Set Composition on the Estimation Performance of Linear ECG-Lead Transformations

Daniel Guldenring

Dewar D Finlay

Raymond R Bond

Alan Kennedy

Peter Doggart

...

2023/10/1

Unraveling Spatiotemporal Transient Dynamics at the Nanoscale via Wavelet Transform-Based Kelvin Probe Force Microscopy

ACS nano

Pardis Biglarbeigi

Alessio Morelli

Serene Pauly

Zidong Yu

Wenjun Jiang

...

2023/10/25

Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification

Niamh McCallan

Scot Davidson

Kok Yew Ng

Pardis Biglarbeigi

Dewar Finlay

...

2023/3/22

Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels

WMU Journal of Maritime Affairs

Kok Yew Ng

Tudor A. Codreanu

Meei Mei Gui

Pardis Biglarbeigi

Dewar Finlay

...

2022/10

Transforming Polysomnography: Time-Frequency Transforms to Visualise and Classify Polysomnography Data

Christopher McCausland

P Biglarbeigi

R Bond

Alan Kennedy

D Finlay

2023/10/6

Conversion From Initial Non-Shockable Rhythm to Shockable Rhythm During Resuscitation With a Public Access Defibrillator Compared With Initial Shockable Rhythm; Incidence and …

Circulation

Amy Kernaghan

Adam Harvey

Hannah Currie

Raymond Bond

Dewar Finlay

...

2023/11/7

A novel patches-selection method for the classification of point-of-care biosensing lateral flow assays with cardiac biomarkers

Biosensors and Bioelectronics

Towfeeq Fairooz

Sara E McNamee

Dewar Finlay

Kok Yew Ng

James McLaughlin

2023/3/1

Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review

Niamh McCallan

Scot Davidson

Kok Yew Ng

Pardis Biglarbeigi

Dewar Finlay

...

2023/7/27

28 Mapping the landscape of heart failure–lessons learnt using machine learning

Alicja Jasinska-Piadlo

R Bond

Pardis Biglarbeigi

David McEneaney

E Donnelly

...

2023/10/1

92 The effect of repeated ventricular fibrillation inductions on defibrillation outcome in a paediatric porcine model

Resuscitation

Olibhéar McAlister

Ben McCartney

Paul Crawford

Raymond Bond

Dewar Finlay

...

2023/11/1

Understanding User Acceptance, Inclusion, and the Societal Impact of Digital Health Technologies

Susan Quinn

RR Bond

MP Donnelly

Shirley Davey

Kyle Boyd

...

2023/1/30

See List of Professors in Dewar Finlay University(Ulster University)

Co-Authors

H-index: 57
Chris Nugent

Chris Nugent

Ulster University

H-index: 42
Maurice D. Mulvenna

Maurice D. Mulvenna

Ulster University

H-index: 33
Raymond Bond

Raymond Bond

Ulster University

H-index: 32
Paul McCullagh

Paul McCullagh

Ulster University

H-index: 22
Ian Cleland

Ian Cleland

Ulster University

H-index: 22
Mark Donnelly

Mark Donnelly

Ulster University

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