Ian M Atkinson

Ian M Atkinson

James Cook University

H-index: 24

Oceania-Australia

About Ian M Atkinson

Ian M Atkinson, With an exceptional h-index of 24 and a recent h-index of 14 (since 2020), a distinguished researcher at James Cook University, specializes in the field of Internet of Things, AgTech.

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

A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms

Parents using live streaming video cameras to view infants in a regional NICU: impacts upon bonding, anxiety and stress

A noise robust automatic radiolocation animal tracking system

A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms

Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates

Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks

Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach

Neonatal nurses’ perceptions of using live streaming video cameras to view infants in a regional NICU

Ian M Atkinson Information

University

Position

___

Citations(all)

3973

Citations(since 2020)

1831

Cited By

2753

hIndex(all)

24

hIndex(since 2020)

14

i10Index(all)

64

i10Index(since 2020)

18

Email

University Profile Page

James Cook University

Google Scholar

View Google Scholar Profile

Ian M Atkinson Skills & Research Interests

Internet of Things

AgTech

Top articles of Ian M Atkinson

Title

Journal

Author(s)

Publication Date

A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms

Knowledge-Based Systems

Stephanie Baker

Wei Xiang

Ian Atkinson

2022/8/17

Parents using live streaming video cameras to view infants in a regional NICU: impacts upon bonding, anxiety and stress

Journal of Neonatal Nursing

Meegan Lesley Kilcullen

Yogavijayan Kandasamy

Michelle Evans

Yogesan Kanagasignam

Ian Atkinson

...

2022/2/1

A noise robust automatic radiolocation animal tracking system

Animal Biotelemetry

Liang Wang

Foivos Diakogiannis

Scott Mills

Nigel Bajema

Ian Atkinson

...

2021/12

A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms

Computer Methods and Programs in Biomedicine

Stephanie Baker

Wei Xiang

Ian Atkinson

2021/8/1

Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates

Computers in Biology and Medicine

Stephanie Baker

Wei Xiang

Ian Atkinson

2021/7/1

Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks

Plos one

Stephanie Baker

Wei Xiang

Ian Atkinson

2021/4/8

Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach

Scientific Reports

Stephanie Baker

Wei Xiang

Ian Atkinson

2020/12/4

Neonatal nurses’ perceptions of using live streaming video cameras to view infants in a regional NICU

Journal of Neonatal Nursing

Meegan Lesley Kilcullen

Yogavijayan Kandasamy

Michelle Evans

Yogesan Kanagasignam

Ian Atkinson

...

2020/8/1

See List of Professors in Ian M Atkinson University(James Cook University)

Co-Authors

H-index: 81
Timothy Osborn

Timothy Osborn

University of East Anglia

H-index: 63
Stephen E. Williams

Stephen E. Williams

James Cook University

H-index: 54
Raja Jurdak

Raja Jurdak

Queensland University of Technology

H-index: 52
Wei Xiang

Wei Xiang

La Trobe University

H-index: 51
Ashley Buckle

Ashley Buckle

Monash University

H-index: 20
William Wayne Read

William Wayne Read

James Cook University

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