Stephen R. Lord

According to our database, Stephen R. Lord authored at least 19 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Is Maximal or Usual Walking Speed from Large Scale Wrist Sensor Data Better at Predicting Dementia, Depression and Death?

Lloyd L. Y. Chan, Stephen R. Lord, Matthew A. Brodie

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

Evaluating Balance Recovery Techniques for Users Wearing Head-Mounted Display in VR.

Carlos Alfredo Tirado Cortes, Hsiang-Ting Chen, Daina L. Sturnieks, Jaime Andres Garcia, Stephen R. Lord, Chin-Teng Lin

IEEE Trans. Vis. Comput. Graph., 2021

A Multi-view Classification Framework for Falls Prediction: Multiple-domain Assessments in Parkinson's Disease.

Xiuyu Huang, Mark Latt, Matloob Khushi, Paulo Pelicioni, Matthew A. Brodie, Stephen R. Lord, Clement Loy, Simon K. Poon

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2019

Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls.

Kimberley S. van Schooten, Mirjam Pijnappels, Stephen R. Lord, Jaap H. van Dieën

Sensors, 2019

2018

A Low-Power Fall Detector Balancing Sensitivity and False Alarm Rate.

Changhong Wang, Wei Lu, Stephen J. Redmond, Michael C. Stevens, Stephen R. Lord, Nigel H. Lovell

IEEE J. Biomed. Health Informatics, 2018

2017

Differences Between Gait on Stairs and Flat Surfaces in Relation to Fall Risk and Future Falls.

Kejia Wang, Kim Delbaere, Matthew A. D. Brodie, Nigel H. Lovell, Lauren Kark, Stephen R. Lord, Stephen J. Redmond

IEEE J. Biomed. Health Informatics, 2017

Selecting Power-Efficient Signal Features for a Low-Power Fall Detector.

Changhong Wang, Stephen James Redmond, Wei Lu, Michael C. Stevens, Stephen R. Lord, Nigel H. Lovell

IEEE Trans. Biomed. Eng., 2017

Wavelet-Based Sit-To-Stand Detection and Assessment of Fall Risk in Older People Using a Wearable Pendant Device.

Andreas Ejupi, Matthew A. Brodie, Stephen R. Lord, Janneke Annegarn, Stephen James Redmond, Kim Delbaere

IEEE Trans. Biomed. Eng., 2017

2016

Low-Power Fall Detector Using Triaxial Accelerometry and Barometric Pressure Sensing.

Changhong Wang, Wei Lu, Michael R. Narayanan, David Chan-Wei Chang, Stephen R. Lord, Stephen James Redmond, Nigel H. Lovell

IEEE Trans. Ind. Informatics, 2016

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

Matthew A. Brodie, Milou J. Coppens, Stephen R. Lord, Nigel H. Lovell, Yves J. Gschwind, Stephen James Redmond, Michael B. Del Rosario, Kejia Wang, Daina L. Sturnieks, Michela Persiani, Kim Delbaere

Medical Biol. Eng. Comput., 2016

A Kinect and Inertial Sensor-Based System for the Self-Assessment of Fall Risk: A Home-Based Study in Older People.

Andreas Ejupi, Yves J. Gschwind, Trinidad Valenzuela, Stephen R. Lord, Kim Delbaere

Hum. Comput. Interact., 2016

2015

New Methods to Monitor Stair Ascents Using a Wearable Pendant Device Reveal How Behavior, Fear, and Frailty Influence Falls in Octogenarians.

Matthew A. Brodie, Kejia Wang, Kim Delbaere, Michela Persiani, Nigel H. Lovell, Stephen James Redmond, Michael B. Del Rosario, Stephen R. Lord

IEEE Trans. Biomed. Eng., 2015

Eight-Week Remote Monitoring Using a Freely Worn Device Reveals Unstable Gait Patterns in Older Fallers.

Matthew A. Brodie, Stephen R. Lord, Milou J. Coppens, Janneke Annegarn, Kim Delbaere

IEEE Trans. Biomed. Eng., 2015

2014

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

Changhong Wang, Michael R. Narayanan, Stephen R. Lord, Stephen J. Redmond, Nigel H. Lovell

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Kejia Wang, Nigel H. Lovell, Michael B. Del Rosario, Ying Liu, Jingjing Wang, Michael R. Narayanan, Matthew A. D. Brodie, Kim Delbaere, Jasmine Menant, Stephen R. Lord, Stephen J. Redmond

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Validation of an accelerometer-based fall prediction model.

Ying Liu, Stephen J. Redmond, Tal Shany, Jane Woolgar, Michael R. Narayanan, Stephen R. Lord, Nigel H. Lovell

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Choice stepping reaction time test using exergame technology for fall risk assessment in older people.

Andreas Ejupi, Matthew A. Brodie, Yves J. Gschwind, Daniel Schoene, Stephen R. Lord, Kim Delbaere

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Matthew A. Brodie, Nigel H. Lovell, Colleen G. Canning, Hylton B. Menz, Kim Delbaere, Stephen J. Redmond, Mark Latt, Daina L. Sturnieks, Jasmine Menant, Stuart T. Smith, Stephen R. Lord

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2010

Longitudinal Falls-Risk Estimation Using Triaxial Accelerometry.

Michael R. Narayanan, Stephen James Redmond, Maria Elena Scalzi, Stephen R. Lord, Branko G. Celler, Nigel H. Lovell

IEEE Trans. Biomed. Eng., 2010