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ORCIDMyla D. Goldman
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- affiliation: University of Virginia, Charlottesville, VA, USA
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2010 – 2019
- 2018
[j3]Sriram Raju Dandu
, Matthew M. Engelhard, Asma Qureshi, Jiaqi Gong, John C. Lach, Maïté Brandt-Pearce, Myla D. Goldman:
Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis. IEEE J. Biomed. Health Informatics 22(1): 40-46 (2018)- 2017
- [j2]Matthew M. Engelhard, Stephen D. Patek, Kristina Sheridan, John C. Lach, Myla D. Goldman:
Remotely engaged: Lessons from remote monitoring in multiple sclerosis. Int. J. Medical Informatics 100: 26-31 (2017) - [c10]Asma Qureshi, Maïté Brandt-Pearce, Matthew M. Engelhard, Myla D. Goldman:
Relationship between kernel density function estimates of gait time series and clinical data. BHI 2017: 329-332 - [c9]Asma Qureshi, Matthew M. Engelhard, Maïté Brandt-Pearce, Myla D. Goldman:
Demonstrating the real-world significance of the mid-swing to heel strike part of the gait cycle using spectral features. BSN 2017: 133-136 - 2016
- [j1]Jiaqi Gong, Yanjun Qi, Myla D. Goldman, John C. Lach:
Causality Analysis of Inertial Body Sensors for Multiple Sclerosis Diagnostic Enhancement. IEEE J. Biomed. Health Informatics 20(5): 1273-1280 (2016) - [c8]Asma Qureshi, Maïté Brandt-Pearce, Myla D. Goldman:
Longitudinal estimation of gait time series density in multiple sclerosis subjects using inertial data. BSN 2016: 152 - [c7]Sriram Raju Dandu, Matthew Engelhard, Myla D. Goldman, John C. Lach:
Determining physiological significance of inertial gait features in multiple sclerosis. BSN 2016: 266-271 - [c6]Asma Qureshi, Maïté Brandt-Pearce, Myla D. Goldman:
Relationship between gait variables and domains of neurologic dysfunction in multiple sclerosis using six-minute walk test. EMBC 2016: 4959-4962 - [c5]Jiaqi Gong, Myla D. Goldman, John C. Lach:
Deepmotion: a deep convolutional neural network on inertial body sensors for gait assessment in multiple sclerosis. Wireless Health 2016: 164-171 - [c4]Matthew M. Engelhard, John C. Lach, Karen M. Schmidt, Myla D. Goldman, Stephen D. Patek:
Adaptive symptom reporting for mobile patient-reported disability assessment. Wireless Health 2016: 172-179 - 2015
- [c3]Matthew Engelhard, Sriram Raju Dandu, John C. Lach, Myla D. Goldman, Stephen D. Patek:
Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping. BODYNETS 2015 - [c2]Jiaqi Gong, Matthew Engelhard, Myla D. Goldman, John C. Lach:
Correlations between Inertial Body Sensor Measures and Clinical Measures in Multiple Sclerosis. BODYNETS 2015 - [c1]Jiaqi Gong, John C. Lach, Yanjun Qi, Myla D. Goldman:
Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis. BSN 2015: 1-6
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