Myla D. Goldman

According to our database, Myla D. Goldman authored at least 13 papers between 2015 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.

Sriram Raju Dandu, Matthew M. Engelhard, Asma Qureshi, Jiaqi Gong, John C. Lach, Maïté Brandt-Pearce, Myla D. Goldman

IEEE J. Biomed. Health Informatics, 2018

2017

Remotely engaged: Lessons from remote monitoring in multiple sclerosis.

Matthew M. Engelhard, Stephen D. Patek, Kristina Sheridan, John C. Lach, Myla D. Goldman

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.

Asma Qureshi, Matthew M. Engelhard, Maïté Brandt-Pearce, Myla D. Goldman

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.

Asma Qureshi, Maïté Brandt-Pearce, Matthew M. Engelhard, Myla D. Goldman

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.

Jiaqi Gong, Yanjun Qi, Myla D. Goldman, John C. Lach

IEEE J. Biomed. Health Informatics, 2016

Deepmotion: a deep convolutional neural network on inertial body sensors for gait assessment in multiple sclerosis.

Jiaqi Gong, Myla D. Goldman, John C. Lach

Proceedings of the 2016 IEEE Wireless Health, 2016

Adaptive symptom reporting for mobile patient-reported disability assessment.

Matthew M. Engelhard, John C. Lach, Karen M. Schmidt, Myla D. Goldman, Stephen D. Patek

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.

Asma Qureshi, Maïté Brandt-Pearce, Myla D. Goldman

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.

Asma Qureshi, Maïté Brandt-Pearce, Myla D. Goldman

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.

Sriram Raju Dandu, Matthew Engelhard, Myla D. Goldman, John C. Lach

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.

Jiaqi Gong, John C. Lach, Yanjun Qi, Myla D. Goldman

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.

Jiaqi Gong, Matthew Engelhard, Myla D. Goldman, John C. Lach

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.

Matthew Engelhard, Sriram Raju Dandu, John C. Lach, Myla D. Goldman, Stephen D. Patek

Proceedings of the 10th EAI International Conference on Body Area Networks, 2015