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Proceedings Paper

Video stroke assessment (VSA) project: design and production of a prototype system for the remote diagnosis of stroke
Author(s): Adrian R. Urias; Nicole Draghic; Janet Lui; Angie Cho; Calvin Curtis; Joseluis Espinosa; Christopher Wottawa; William P. Wiesmann; Lee H. Schwamm
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Paper Abstract

Stroke remains the third most frequent cause of death in the United States and the leading cause of disability in adults. Long-term effects of ischemic stroke can be mitigated by the opportune administration of Tissue Plasminogen Activator (t-PA); however, the decision regarding the appropriate use of this therapy is dependant on timely, effective neurological assessment by a trained specialist. The lack of available stroke expertise is a key barrier preventing frequent use of t-PA. We report here on the development of a prototype research system capable of performing a semi-automated neurological examination from an offsite location via the Internet and a Computed Tomography (CT) scanner to facilitate the diagnosis and treatment of acute stroke. The Video Stroke Assessment (VSA) System consists of a video camera, a camera mounting frame, and a computer with software and algorithms to collect, interpret, and store patient neurological responses to stimuli. The video camera is mounted on a mobility track in front of the patient; camera direction and zoom are remotely controlled on a graphical user interface (GUI) by the specialist. The VSA System also performs a partially-autonomous examination based on the NIH Stroke Scale (NIHSS). Various response data indicative of stroke are recorded, analyzed and transmitted in real time to the specialist. The VSA provides unbiased, quantitative results for most categories of the NIHSS along with video and audio playback to assist in accurate diagnosis. The system archives the complete exam and results.

Paper Details

Date Published: 1 April 2005
PDF: 9 pages
Proc. SPIE 5692, Advanced Biomedical and Clinical Diagnostic Systems III, (1 April 2005); doi: 10.1117/12.589070
Show Author Affiliations
Adrian R. Urias, Sekos, Inc. (United States)
Nicole Draghic, Sekos, Inc. (United States)
Janet Lui, Harvey Mudd College (United States)
Angie Cho, Harvey Mudd College (United States)
Calvin Curtis, Harvey Mudd College (United States)
Joseluis Espinosa, Harvey Mudd College (United States)
Christopher Wottawa, Harvey Mudd College (United States)
William P. Wiesmann, Sekos, Inc. (United States)
Lee H. Schwamm, Massachusetts General Hospital (United States)

Published in SPIE Proceedings Vol. 5692:
Advanced Biomedical and Clinical Diagnostic Systems III
Tuan Vo-Dinh; Warren S. Grundfest M.D.; David A. Benaron M.D.; Gerald E. Cohn, Editor(s)

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