Michael B. Del Rosario
Michael B. Del Rosario
Research Fellow, Graduate School of Biomedical Engineering, University of New South Wales
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Cited by
Cited by
Tracking the evolution of smartphone sensing for monitoring human movement
MB Del Rosario, SJ Redmond, NH Lovell
Sensors 15 (8), 18901-18933, 2015
Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different
MAD Brodie, MJM Coppens, SR Lord, NH Lovell, YJ Gschwind, ...
Medical & biological engineering & computing 54 (4), 663-674, 2016
A comparison of activity classification in younger and older cohorts using a smartphone
MB Del Rosario, K Wang, J Wang, Y Liu, M Brodie, K Delbaere, NH Lovell, ...
Physiological measurement 35 (11), 2269, 2014
Quaternion-based complementary filter for attitude determination of a smartphone
MB Del Rosario, NH Lovell, SJ Redmond
IEEE Sensors Journal 16 (15), 6008-6017, 2016
Computationally-Efficient Adaptive Error-State Kalman Filter for Attitude Estimation
MB Del Rosario, H Khamis, P Ngo, NH Lovell, SJ Redmond
IEEE Sensors Journal, 2018
Estimating lower limb kinematics using a reduced wearable sensor count
L Sy, M Raitor, M Del Rosario, H Khamis, L Kark, NH Lovell, SJ Redmond
IEEE Transactions on Biomedical Engineering 68 (4), 1293-1304, 2020
New methods to monitor stair ascents using a wearable pendant device reveal how behavior, fear, and frailty influence falls in octogenarians
MA Brodie, K Wang, K Delbaere, M Persiani, NH Lovell, SJ Redmond, ...
IEEE transactions on biomedical engineering 62 (11), 2595-2601, 2015
Evaluation of an mHealth-based Adjunct to Outpatient Cardiac Rehabilitation
MB Del Rosario, NH Lovell, J Fildes, K Holgate, J Yu, C Ferry, G Schreier, ...
IEEE Journal of Biomedical and Health Informatics, 1-11, 2017
Inertial measurements of free-living activities: Assessing mobility to predict falls
K Wang, NH Lovell, MB Del Rosario, Y Liu, J Wang, MR Narayanan, ...
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Learning the orientation of a loosely-fixed wearable IMU relative to the body improves the recognition rate of human postures and activities
MB Del Rosario, NH Lovell, SJ Redmond
Sensors 19 (13), 2845, 2019
Convergence of smartphone technology and algorithms that estimate physical activity for cardiac rehabilitation
M Del Rosario
UNSW Sydney, 2017
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