Jonathan Bidwell
Georgia Institute of Technology
14 Papers
3 Citations
Jonathan Bidwell is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Epilepsy & Medicine. The author has an hindex of 8, co-authored 13 publications. Previous affiliations of Jonathan Bidwell include Harvard University & Emory University Hospital Midtown.
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Papers
Decoding Children's Social Behavior
James M. Rehg,Gregory D. Abowd,Agata Rozga,Mario Romero,Mark A. Clements,Stan Sclaroff,Irfan Essa,Opal Y. Ousley,Yin Li,Chanho Kim,Hrishikesh Rao,Jonathan C. Kim,Liliana Lo Presti,Jianming Zhang,Denis Lantsman,Jonathan Bidwell,Zhefan Ye +16 more
- 23 Jun 2013
TL;DR: A new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction designed to elicit a broad range of social behaviors based on video and audio data is introduced.
Prospective Study of a Multimodal Convulsive Seizure Detection Wearable System on Pediatric and Adult Patients in the Epilepsy Monitoring Unit.
Francesco Onorati,Giulia Regalia,Chiara Caborni,W. Curt LaFrance,Andrew S. Blum,Jonathan Bidwell,Paola De Liso,Rima El Atrache,Tobias Loddenkemper,Fatemeh Mohammadpour-Touserkani,Rani A. Sarkis,Daniel Friedman,Jay Jeschke,Rosalind W. Picard +13 more
TL;DR: In this article, the authors used machine learning to combine wrist accelerometer and electrodermal activity (EDA) to detect primarily and secondarily generalized tonic-clonic seizures, here termed as convulsive seizures.
Seizure detection devices for use in antiseizure medication clinical trials: A systematic review.
TL;DR: Suggestions provide a starting point for establishing SDD reporting requirements before device integration into ASM clinical trials and a stepwise framework to streamline device testing are put forth.
35
Measuring operator anticipatory inputs in response to time-delay for teleoperated human-robot interfaces
Jonathan Bidwell,Alexandra Holloway,Scott Davidoff +2 more
- 26 Apr 2014
TL;DR: An underexplored design opportunity for building robotic teleoperation user interfaces is identified following an evaluation of operator performance during a time-delayed robotic arm block-stacking task in twenty-two participants.
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Evaluation and recommendations for effective data visualization for seizure forecasting algorithms.
Sharon Chiang,Robert Moss,Angela P Black,Michele Jackson,Chuck Moss,Jonathan Bidwell,Christian Meisel,Tobias Loddenkemper +7 more
- 01 Mar 2021
TL;DR: In this paper, the authors developed front-end data visualizations as part of a Seizure Forecast Visualization Toolkit and surveyed 627 people living with epilepsy and caregivers, and 28 epilepsy healthcare providers.