Myla D. Goldman
Affiliations:- University of Virginia, Charlottesville, VA, USA
According to our database1,
Myla D. Goldman
authored at least 13 papers
between 2015 and 2018.
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On csauthors.net:
Bibliography
2018
Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.
IEEE J. Biomed. Health Informatics, 2018
2017
Int. J. Medical Informatics, 2017
Demonstrating the real-world significance of the mid-swing to heel strike part of the gait cycle using spectral features.
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017
Relationship between kernel density function estimates of gait time series and clinical data.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Causality Analysis of Inertial Body Sensors for Multiple Sclerosis Diagnostic Enhancement.
IEEE J. Biomed. Health Informatics, 2016
Deepmotion: a deep convolutional neural network on inertial body sensors for gait assessment in multiple sclerosis.
Proceedings of the 2016 IEEE Wireless Health, 2016
Proceedings of the 2016 IEEE Wireless Health, 2016
Relationship between gait variables and domains of neurologic dysfunction in multiple sclerosis using six-minute walk test.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Longitudinal estimation of gait time series density in multiple sclerosis subjects using inertial data.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016
Determining physiological significance of inertial gait features in multiple sclerosis.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016
2015
Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015
Correlations between Inertial Body Sensor Measures and Clinical Measures in Multiple Sclerosis.
Proceedings of the 10th EAI International Conference on Body Area Networks, 2015
Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping.
Proceedings of the 10th EAI International Conference on Body Area Networks, 2015