Stephen J. Redmond

发表

A review of tactile sensing technologies with applications in biomedical engineering

Nigel H. Lovell, Mohsin I. Tiwana, Stephen J. Redmond, 2012 .

Predicting number of hospitalization days based on health insurance claims data using bagged regression trees

Nigel H. Lovell, Yang Xie, Gunter Schreier, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Bio-Inspired PVDF-Based, Mouse Whisker Mimicking, Tactile Sensor

Nigel H. Lovell, Javaid Iqbal, Moazzam Islam Tiwana, 2016 .

Classification between non-multiple fallers and multiple fallers using a triaxial accelerometry-based system

Nigel H. Lovell, Ying Liu, Stephen J. Redmond, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Generating tactile afferent stimulation patterns for slip and touch feedback in neural prosthetics

Nigel H. Lovell, John W. Morley, Ingvars Birznieks, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Decoding tactile sensation: Multiple regression analysis of monkey fingertip afferent mechanoreceptor population responses

Ingvars Birznieks, Heba Khamis, Antony W. Goodwin, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

Brian Caulfield, Barry R. Greene, Stephen J. Redmond, 2017, IEEE Journal of Biomedical and Health Informatics.

Estimation of cardiac output and total peripheral resistance in preterm infants by arterial waveform analysis

Ying Zhang, Nigel H. Lovell, Andrey V. Savkin, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Gait as a biomarker? Accelerometers reveal that reduced movement quality while walking is associated with Parkinson's disease, ageing and fall risk

Nigel H. Lovell, Hylton B. Menz, Daina L. Sturnieks, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A low-power fall detection algorithm based on triaxial acceleration and barometric pressure

Nigel H. Lovell, Changhong Wang, Stephen J. Redmond, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Pilot evaluation of an unobtrusive system to detect falls at nighttime

Nigel H. Lovell, Stephen J. Redmond, Michael R. Narayanan, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Prediction of chronic obstructive pulmonary disease exacerbation using physiological time series patterns

Nigel H. Lovell, Mas S. Mohktar, Jim Basilakis, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Review: Are we stumbling in our quest to find the best predictor? Over-optimism in sensor-based models for predicting falls in older adults

Nigel H. Lovell, Ying Liu, Stephen J. Redmond, 2015, Healthcare technology letters.

Inertial measurements of free-living activities: Assessing mobility to predict falls

Nigel H. Lovell, Ying Liu, Jingjing Wang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Validation of an accelerometer-based fall prediction model

Nigel H. Lovell, Ying Liu, Stephen J. Redmond, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Tactile afferents encode grip safety before slip for different frictions

Vaughan G. Macefield, Ingvars Birznieks, Stephen J. Redmond, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Design of an unobtrusive wireless sensor network for nighttime falls detection

Nigel H. Lovell, Stephen J. Redmond, Michael R. Narayanan, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Learning the Orientation of a Loosely-Fixed Wearable IMU Relative to the Body Improves the Recognition Rate of Human Postures and Activities

Nigel H. Lovell, Michael B. Del Rosario, Stephen J. Redmond, 2019, Sensors.

A Biomimetic Tactile Fingerprint Induces Incipient Slip pdf

Nathan F. Lepora, Stephen J. Redmond, Jasper W. James, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Applications of supervised learning to biological signals: ECG signal quality and systemic vascular resistance

Nigel H. Lovell, Yang Xie, Stephen J. Redmond, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Real Robot Challenge using Deep Reinforcement Learning pdf

Kevin McGuinness, Stephen J. Redmond, Noel O'Connor, 2021, ArXiv.

Solving the Real Robot Challenge using Deep Reinforcement Learning

Kevin McGuinness, Stephen J. Redmond, Noel O'Connor, 2021 .

Real-time Friction Estimation for Grip Force Control

Heba Khamis, Benjamin Xia, Stephen J. Redmond, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks pdf

Stephen J. Redmond, Robert McCarthy, S. Redmond, 2021, ArXiv.

A Multimodal Data Fusion Technique for Heartbeat Detection in Wearable IoT Sensors

Barry Cardiff, Arlene John, Deepu John, 2022, IEEE Internet of Things Journal.

Cutaneous Sensory Afferent Response to Sliding Stimuli in the Rat Forepaw*

Stephen J. Redmond, James F. X. Jones, Sophie du Bois de Dunilac, 2021, 2021 IEEE World Haptics Conference (WHC).

Estimating Lower Body Kinematics Using a Lie Group Constrained Extended Kalman Filter and Reduced IMU Count

Nigel H. Lovell, Luke Wicent Sy, Stephen J. Redmond, 2021, IEEE Sensors Journal.

A Comparison of Magnetic Resonance Imaging and Neuropsychological Examination in the Diagnostic Distinction of Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia

Michael Hornberger, Stephen J. Redmond, John R. Hodges, 2016, Front. Aging Neurosci..

Classification of walking patterns on inclined surfaces from accelerometry data

Nigel H. Lovell, Ning Wang, Eliathamby Ambikairajah, 2009, 2009 16th International Conference on Digital Signal Processing.

Classification of low systemic vascular resistance using photoplethysmogram and routine cardiovascular measurements

Nigel H. Lovell, Stephen J. Redmond, Gregory S. H. Chan, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Evaluation of functional deficits and falls risk in the elderly – methods for preventing falls

Nigel H. Lovell, Branko G. Celler, Stephen J. Redmond, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automated detection of asynchrony in patient-ventilator interaction

Nigel H. Lovell, Stefano Nava, Stephen J. Redmond, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Towards Using Photo-Plethysmogram Amplitude to Measure Blood Pressure During Sleep

Conor Heneghan, Gary McDarby, Stephen J. Redmond, 2010, Annals of Biomedical Engineering.

P06.05: Automation of the fetal right myocardial performance index (RMPI) to optimise repeatability

Stephen J. Redmond, Amanda Henry, Alec W. Welsh, 2017 .

Electrocardiogram-based automatic sleep staging in sleep disordered breathing

Conor Heneghan, Stephen J. Redmond, 2003, Computers in Cardiology, 2003.

Telehealth technologies for managing chronic disease - experiences from Australia and the UK

Nigel H. Lovell, Branko G. Celler, Jim Basilakis, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Monitoring for Elderly Care: The Role of Wearable Sensors in Fall Detection and Fall Prediction Research

Nigel H. Lovell, Stephen J. Redmond, Kejia Wang, 2015, TeleMedicine and Electronic Medicine.

Bottom-up subspace clustering suggests a paradigm shift to prevent fall injuries.

Nigel H. Lovell, Stephen J. Redmond, Stephen R. Lord, 2015, Medical hypotheses.