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Stephen J. Redmond

Stephen J. Redmond

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7146
World Ranking
6931
National Ranking
28

Overview

Stephen J. Redmond is affiliated with University College Dublin in Ireland and works primarily in the fields of Engineering and Neuroscience. Their research spans several subfields, including Biomedical Engineering, Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, and Cardiology and Cardiovascular Medicine.

Their main topics of research include muscle activation and electromyography studies, tactile and sensory interactions, reinforcement learning in robotics, motor control and adaptation, advanced sensor and energy harvesting materials, balance, gait, and falls prevention, as well as mobile health and mHealth applications.

Frequent publication venues for their work include arXiv (Cornell University), where they have 15 publications, Sensors with 4 publications, IEEE Transactions on Biomedical Engineering with 3, bioRxiv (Cold Spring Harbor Laboratory) also with 3, and the IEEE Internet of Things Journal with 2 publications.

Some of the recent papers authored include:

  • A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial, 2021, JMIR mhealth and uhealth
  • A Multimodal Data Fusion Technique for Heartbeat Detection in Wearable IoT Sensors, 2021, IEEE Internet of Things Journal
  • Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone, 2020, Sensors
  • Friction sensing mechanisms for perception and motor control: passive touch without sliding may not provide perceivable frictional information, 2021, Journal of Neurophysiology
  • A review of the neurobiomechanical processes underlying secure gripping in object manipulation, 2021, Neuroscience & Biobehavioral Reviews

Stephen J. Redmond has collaborated frequently with several researchers, including David Córdova Bulens, Nigel H. Lovell, Francisco Roldán Sánchez, Kevin McGuinness, and Noel E. O'Connor. These collaborations reflect a broad network in both engineering and neuroscience communities.

Best Publications

  • A review of tactile sensing technologies with applications in biomedical engineering

    Mohsin I. Tiwana;Stephen J. Redmond;Nigel H. Lovell

  • A method for initialising the K-means clustering algorithm using kd-trees

    Stephen J. Redmond;Conor Heneghan

  • Barometric Pressure and Triaxial Accelerometry-Based Falls Event Detection

    F Bianchi;S J Redmond;M R Narayanan;S Cerutti

  • Sensors-Based Wearable Systems for Monitoring of Human Movement and Falls

    T. Shany;S. J. Redmond;M. R. Narayanan;N. H. Lovell

  • Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea

    S.J. Redmond;C. Heneghan

  • Tracking the Evolution of Smartphone Sensing for Monitoring Human Movement.

    Michael B. Del Rosario;Stephen James Redmond;Nigel H. Lovell

  • Tactile Sensors for Friction Estimation and Incipient Slip Detection—Toward Dexterous Robotic Manipulation: A Review

    Wei Chen;Heba Khamis;Ingvars Birznieks;Nathan F. Lepora

  • Signal quality measures for pulse oximetry through waveform morphology analysis.

    J Abdul Sukor;S J Redmond;N H Lovell

  • Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different.

    Matthew A. D. Brodie;Milou J. M. Coppens;Stephen R. Lord;Nigel H. Lovell

  • Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data.

    Mas S. Mohktar;Mas S. Mohktar;Stephen James Redmond;Nick C. Antoniades;Peter D. Rochford

  • Sleep staging using cardiorespiratory signals

    S. J. Redmond;P. de Chazal;C. O'Brien;S. Ryan

  • Longitudinal Falls-Risk Estimation Using Triaxial Accelerometry

    M.R. Narayanan;S.J. Redmond;M.E. Scalzi;S.R. Lord

  • QRS Detection Algorithm for Telehealth Electrocardiogram Recordings

    Heba Khamis;Robert Weiss;Yang Xie;Chan-Wei Chang

  • Encoding of tangential torque in responses of tactile afferent fibres innervating the fingerpad of the monkey

    Ingvars Birznieks;Heather E. Wheat;Stephen J. Redmond;Lauren M. Salo

  • Electrocardiogram signal quality measures for unsupervised telehealth environments

    Stephen J Redmond;Yang Xie;David K Chang;Jim Basilakis

  • Design of a Decision-Support Architecture for Management of Remotely Monitored Patients

    J Basilakis;N H Lovell;S J Redmond;B G Celler

  • Towards using photo-plethysmogram amplitude to measure blood pressure during sleep.

    Eric Chern-Pin Chua;Stephen J. Redmond;Gary McDarby;Conor Heneghan

  • Characterization of a capacitive tactile shear sensor for application in robotic and upper limb prostheses

    Mohsin I. Tiwana;Arridh Shashank;Stephen J. Redmond;Nigel H. Lovell

  • Fall Risk Assessment Through Automatic Combination of Clinical Fall Risk Factors and Body-Worn Sensor Data

    Barry R. Greene;Stephen J. Redmond;Brian Caulfield

  • A comparison of activity classification in younger and older cohorts using a smartphone.

    Michael B Del Rosario;Kejia Wang;Jingjing Wang;Ying Liu

  • Quaternion-Based Complementary Filter for Attitude Determination of a Smartphone

    Michael B. Del Rosario;Nigel H. Lovell;Stephen J. Redmond

Frequent Co-Authors

Nigel H. Lovell
Nigel H. Lovell University of New South Wales
Stephen R. Lord
Stephen R. Lord University of New South Wales
Branko G. Celler
Branko G. Celler University of New South Wales
David W. Chang
David W. Chang University of Chicago
John W. Morley
John W. Morley Western Sydney University
Eliathamby Ambikairajah
Eliathamby Ambikairajah University of New South Wales
Vaughan G. Macefield
Vaughan G. Macefield Monash University
Greg J. Stuart
Greg J. Stuart Australian National University
Noel E. O'Connor
Noel E. O'Connor Dublin City University

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