Harvard Catalyst Profiles

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Matthew Goodwin, Ph.D.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Goodwin, MS, Ozdenizci, O, Tian, P, Cumpanasoiu, C, Guo, A, Stedman, A, Peura, C, Mazefsky, C, Siegel, M, Erdogmus, D, & Ioannidis, I. Predicting proximal aggression onset in minimally-verbal youth with autism spectrum disorder using preceding physiological signals. Pervasive Health. 2018.
  2. Kleckner, IR, Jones, RM, Wilder-Smith, O, Wormwood, JB, Akcakaya, M, Quigley, KS, Lord, C, & Goodwin, MS. Simple, transparent and flexible automated quality assessment procedures for ambulatory electrodermal activity. IEEE Transactions on Biomedical Engineering. 2017; (99):1-8.
  3. Bone, D, Bishop, S, Black, M, Goodwin, MS, Lord, C, & Narayanan, S. Use of machine learning to improve autism screening and diagnostic instruments: Effectiveness, efficiency, and multi-instrument fusion. Journal of Child Psychology and Psychiatry. 2016; (57):927-937.
  4. Malia, K, Dallal, A, Eldeeb, S, Akcakaya, M, Gerard, C, Kleckner, I, Quigley, K, & Goodwin, MS. Dictionary learning and sparse recovery for EDA analysis and classification. Proceedings of SPIE International Society for Optics and Photonics. 2016.
  5. Sikka, K, Ahmed, A, Diaz, D, Goodwin, MS, Craig, KD, Bartlett, MS, & Huang, JS. Automated assessment of children’s post-operative pain using computer vision. Pediatrics. 2015; (136):1-8.
  6. Bone, D, Goodwin, MS, Black, M, Lee, C, Audhkhasi, K, & Narayanan, S. Applying machine learning to facilitate autism diagnostics: Pitfalls and promises. Journal of Autism and Developmental Disorders. 2015; (45):1121-36.
  7. Goodwin, MS, Intille, SS, Albinali, & Velicer, WF. Automated detection of stereotypical motor movements. Journal of Autism and Developmental Disorders. 2011; (41):770-782.
  8. Fletcher, RR, Dobson, K, Goodwin, MS, Eydgahi, H, Wilder-Smith, O, Fernholz, D, Kuboyama, Y, Hedman, EB, Poh, M, & Picard, RW . Wearable sensor and network architecture for wirelessly communicating and logging autonomic activity. IEEE Transactions on Information Technology in Biomedicine. 2010; (14):215-223.
  9. Goodwin, M.S. Enhancing and accelerating the pace of autism research and treatment: The promise of developing innovative technology. Focus on Autism and Other Developmental Disabilities. 2008; (23):125-128.
  10. Goodwin, MS, Velicer, WF, & Intille, SS . Telemetric monitoring in the behavior sciences. Behavioral Research Methods. 2008; (40):328-341.
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Funded by the NIH/NCATS Clinical and Translational Science Award (CTSA) program, grant number UL1TR001102, and through institutional support from Harvard University, Harvard Medical School, Harvard T.H. Chan School of Public Health, Beth Israel Deaconess Medical Center, Boston Children's Hospital, Brigham and Women's Hospital, Massachusetts General Hospital and the Dana Farber Cancer Institute.