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Stephen R. Lord
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2020 – today
- 2024
- [j14]Lloyd L. Y. Chan, Stephen R. Lord, Matthew A. Brodie:
Daily-Life Walking Speed, Quality and Quantity Derived from a Wrist Motion Sensor: Large-Scale Normative Data for Middle-Aged and Older Adults. Sensors 24(16): 5159 (2024) - [j13]Lloyd L. Y. Chan, Song Yang, Mira Aswani, Lauren Kark, Emily J. Henderson, Stephen R. Lord, Matthew A. Brodie:
Development, Validation, and Limits of Freezing of Gait Detection Using a Single Waist-Worn Device. IEEE Trans. Biomed. Eng. 71(10): 3024-3031 (2024) - 2023
- [c7]Lloyd L. Y. Chan, Stephen R. Lord, Matthew A. Brodie:
Is Maximal or Usual Walking Speed from Large Scale Wrist Sensor Data Better at Predicting Dementia, Depression and Death? EMBC 2023: 1-4 - 2021
- [j12]Carlos Alfredo Tirado Cortes, Hsiang-Ting Chen, Daina L. Sturnieks, Jaime Andres Garcia, Stephen R. Lord, Chin-Teng Lin:
Evaluating Balance Recovery Techniques for Users Wearing Head-Mounted Display in VR. IEEE Trans. Vis. Comput. Graph. 27(1): 204-215 (2021) - [c6]Xiuyu Huang, Mark Latt, Matloob Khushi, Paulo Pelicioni, Matthew A. Brodie, Stephen R. Lord, Clement Loy, Simon K. Poon:
A Multi-view Classification Framework for Falls Prediction: Multiple-domain Assessments in Parkinson's Disease. HICSS 2021: 1-9
2010 – 2019
- 2019
- [j11]Kimberley S. van Schooten, Mirjam Pijnappels, Stephen R. Lord, Jaap H. van Dieën:
Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls. Sensors 19(20): 4388 (2019) - 2018
- [j10]Changhong Wang, Wei Lu, Stephen J. Redmond, Michael C. Stevens, Stephen R. Lord, Nigel H. Lovell:
A Low-Power Fall Detector Balancing Sensitivity and False Alarm Rate. IEEE J. Biomed. Health Informatics 22(6): 1929-1937 (2018) - 2017
- [j9]Andreas Ejupi, Matthew A. Brodie, Stephen R. Lord, Janneke Annegarn, Stephen James Redmond, Kim Delbaere:
Wavelet-Based Sit-To-Stand Detection and Assessment of Fall Risk in Older People Using a Wearable Pendant Device. IEEE Trans. Biomed. Eng. 64(7): 1602-1607 (2017) - [j8]Changhong Wang, Stephen James Redmond, Wei Lu, Michael C. Stevens, Stephen R. Lord, Nigel H. Lovell:
Selecting Power-Efficient Signal Features for a Low-Power Fall Detector. IEEE Trans. Biomed. Eng. 64(11): 2729-2736 (2017) - [j7]Kejia Wang, Kim Delbaere, Matthew A. Brodie, Nigel H. Lovell, Lauren Kark, Stephen R. Lord, Stephen J. Redmond:
Differences Between Gait on Stairs and Flat Surfaces in Relation to Fall Risk and Future Falls. IEEE J. Biomed. Health Informatics 21(6): 1479-1486 (2017) - 2016
- [j6]Andreas Ejupi, Yves J. Gschwind, Trinidad Valenzuela, Stephen R. Lord, Kim Delbaere:
A Kinect and Inertial Sensor-Based System for the Self-Assessment of Fall Risk: A Home-Based Study in Older People. Hum. Comput. Interact. 31(3-4): 261-293 (2016) - [j5]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:
Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different. Medical Biol. Eng. Comput. 54(4): 663-674 (2016) - [j4]Changhong Wang, Wei Lu, Michael R. Narayanan, David Chan-Wei Chang, Stephen R. Lord, Stephen James Redmond, Nigel H. Lovell:
Low-Power Fall Detector Using Triaxial Accelerometry and Barometric Pressure Sensing. IEEE Trans. Ind. Informatics 12(6): 2302-2311 (2016) - 2015
- [j3]Matthew A. Brodie, Stephen R. Lord, Milou J. Coppens, Janneke Annegarn, Kim Delbaere:
Eight-Week Remote Monitoring Using a Freely Worn Device Reveals Unstable Gait Patterns in Older Fallers. IEEE Trans. Biomed. Eng. 62(11): 2588-2594 (2015) - [j2]Matthew A. Brodie, Kejia Wang, Kim Delbaere, Michela Persiani, Nigel H. Lovell, Stephen James Redmond, Michael B. Del Rosario, Stephen R. Lord:
New Methods to Monitor Stair Ascents Using a Wearable Pendant Device Reveal How Behavior, Fear, and Frailty Influence Falls in Octogenarians. IEEE Trans. Biomed. Eng. 62(11): 2595-2601 (2015) - 2014
- [c5]Changhong Wang, Michael R. Narayanan, Stephen R. Lord, Stephen J. Redmond, Nigel H. Lovell:
A low-power fall detection algorithm based on triaxial acceleration and barometric pressure. EMBC 2014: 570-573 - [c4]Ying Liu, Stephen J. Redmond, Tal Shany, Jane Woolgar, Michael R. Narayanan, Stephen R. Lord, Nigel H. Lovell:
Validation of an accelerometer-based fall prediction model. EMBC 2014: 4531-4534 - [c3]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:
Gait as a biomarker? Accelerometers reveal that reduced movement quality while walking is associated with Parkinson's disease, ageing and fall risk. EMBC 2014: 5968-5971 - [c2]Kejia Wang, Nigel H. Lovell, Michael B. Del Rosario, Ying Liu, Jingjing Wang, Michael R. Narayanan, Matthew A. Brodie, Kim Delbaere, Jasmine Menant, Stephen R. Lord, Stephen J. Redmond:
Inertial measurements of free-living activities: Assessing mobility to predict falls. EMBC 2014: 6892-6895 - [c1]Andreas Ejupi, Matthew A. Brodie, Yves J. Gschwind, Daniel Schoene, Stephen R. Lord, Kim Delbaere:
Choice stepping reaction time test using exergame technology for fall risk assessment in older people. EMBC 2014: 6957-6960 - 2010
- [j1]Michael R. Narayanan, Stephen James Redmond, Maria Elena Scalzi, Stephen R. Lord, Branko G. Celler, Nigel H. Lovell:
Longitudinal Falls-Risk Estimation Using Triaxial Accelerometry. IEEE Trans. Biomed. Eng. 57(3): 534-541 (2010)
Coauthor Index
aka: Stephen J. Redmond
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