M
Michael Powell
Researcher at Johns Hopkins University
Publications - 23
Citations - 387
Michael Powell is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Computer science & Cytokine storm. The author has an hindex of 7, co-authored 16 publications receiving 270 citations.
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Journal ArticleDOI
User Training for Pattern Recognition-Based Myoelectric Prostheses: Improving Phantom Limb Movement Consistency and Distinguishability
TL;DR: Analysis of the underlying sources of improvement for each subject examined the sizes and separation of high-dimensional data clusters and revealed that each subject formed a unique and effective strategy for improving the consistency and/or distinguishability of his or her phantom limb movements.
Journal ArticleDOI
Preventing cytokine storm syndrome in COVID-19 using α-1 adrenergic receptor antagonists
Maximilian F. Konig,Michael Powell,Verena Staedtke,Renyuan Bai,David L. Thomas,Nicole Fischer,Sakibul Huq,Adham M. Khalafallah,Allison Koenecke,Ruoxuan Xiong,Brett D. Mensh,Nickolas Papadopoulos,Kenneth W. Kinzler,Bert Vogelstein,Joshua T. Vogelstein,Susan Athey,Shibin Zhou,Chetan Bettegowda +17 more
TL;DR: Medications that target catecholamine-associated inflammation may prevent cytokine storm syndrome associated with COVID-19 and other diseases.
Journal ArticleDOI
A Training Strategy for Learning Pattern Recognition Control for Myoelectric Prostheses.
Michael Powell,Nitish V. Thakor +1 more
TL;DR: The manner in which four transradial amputees are trained to improve their pattern recognition–based control of a virtual prosthesis by focusing on building consistent, distinguishable muscle patterns is described.
Journal ArticleDOI
The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality From COVID-19
Liam Rose,Laura A. Graham,Allison Koenecke,Michael Powell,Ruoxuan Xiong,Zhu Shen,Brett Mench,Kenneth W. Kinzler,Chetan Bettegowda,Chetan Bettegowda,Bert Vogelstein,Susan Athey,Joshua T. Vogelstein,Maximilian F. Konig,Maximilian F. Konig,Todd H. Wagner,Todd H. Wagner +16 more
TL;DR: In this article, the authors used doubly robust regression and matching to estimate the association between baseline use of α1-AR antagonists and likelihood of death due to COVID-19 during hospitalization.
Journal ArticleDOI
Candidates for synergies: linear discriminants versus principal components
TL;DR: Time varying kinematic synergies in the human hand grasping movements were extracted using these two diametrically opposite methods and were evaluated in reconstructing natural and American sign language (ASL) postural movements, suggesting that PCA outperformed LDA.