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Trainable Time Warping: Aligning Time-series in the Continuous-time Domain

Authors: Khorram, Soheil, McInnis, Melvin G, Mower Provost, Emily

Source: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2019 - 2019 IEEE International Conference on. :3502-3506 May, 2019

Relation: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Automatic quantitative analysis of spontaneous aphasic speech

Authors: Le, Duc, Licata, Keli, Mower Provost, Emily

Source: In Speech Communication June 2018 100:1-12

Low-back electromyography (EMG) data-driven load classification for dynamic lifting tasks.

Authors: Totah, Deema, Ojeda, Lauro, Johnson, Daniel D., Gates, Deanna, Mower Provost, Emily, Barton, Kira

Source: PLoS ONE; 2/15/2018, Vol. 13 Issue 2, p1-14, 14p

Subject Terms: ELECTROMYOGRAPHY, LOGISTIC regression analysis, CROSS correlation, BACK muscles, ROBOTIC exoskeletons

Cohort Profile: The Heinz C. Prechter Longitudinal Study of Bipolar Disorder.

Authors: McInnis, Melvin G, Assari, Shervin, Kamali, Masoud, Ryan, Kelly, Langenecker, Scott A, Saunders, Erika FH, Versha, Kritika, Evans, Simon, O'Shea, K Sue, Provost, Emily Mower, Saunders, Erika F H, Mower Provost, Emily, Marshall, David, Forger, Daniel, Deldin, Patricia, Zoellner, Sebastian, Prechter Bipolar Clinical Research Collaborative

Source: International Journal of Epidemiology; Feb2018, Vol. 47 Issue 1, p28-28, 15p

Subject Terms: BIPOLAR disorder, SUICIDAL behavior, COHORT analysis, LONGITUDINAL method, PHENOTYPES, ODDS ratio

T14 - Digital Phenotyping In Bipolar Disorder

Authors: McInnis, Melvin, Gideon, John, Mower Provost, Emily

Source: In European Neuropsychopharmacology 2017 27 Supplement 3:S440-S440

Detection and Characterization of Autism Spectrum Disorder and Parkinson’s Disease Utilizing Measures of Speech- and Fine-Motor Coordination

Authors: Talkar, Tanya

Contributors: Quatieri, Thomas F, Green, Jordan, Bentley, Kathryn, Hooker, Jacob, Mower-Provost, Emily

Source: Talkar, Tanya. 2023. Detection and Characterization of Autism Spectrum Disorder and Parkinson’s Disease Utilizing Measures of Speech- and Fine-Motor Coordination. Doctoral dissertation, Harvard University Graduate School of Arts and Sciences.

Subject Terms: machine learning, motor coordination, neurodevelopmental disorders, neurological disorders, signal processing, speech production, Biomedical engineering

File Description: application/pdf; application/pdf

Access URL: https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37375552