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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries

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Author(s):
Chan, Gromit Yeuk-Yin [1] ; Nonato, Luis Gustavo [2] ; Chu, Alice [3] ; Raghavan, Preeti [4] ; Aluru, Viswanath [4] ; Silva, Claudio T. [1]
Total Authors: 6
Affiliation:
[1] NYU, New York, NY 10003 - USA
[2] Univ Sao Paulo, Sao Paulo - Brazil
[3] Rutgers New Jersey Med Sch, Newark, NJ - USA
[4] NYU Langone Med Ctr, New York, NY - USA
Total Affiliations: 4
Document type: Journal article
Source: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS; v. 26, n. 1, p. 981-990, JAN 2020.
Web of Science Citations: 0
Abstract

The brachial plexus is a complex network of peripheral nerves that enables sensing from and control of the movements of the arms and hand. Nowadays, the coordination between the muscles to generate simple movements is still not well understood, hindering the knowledge of how to best treat patients with this type of peripheral nerve injury. To acquire enough information for medical data analysis, physicians conduct motion analysis assessments with patients to produce a rich dataset of electromyographic signals from multiple muscles recorded with joint movements during real-world tasks. However, tools for the analysis and visualization of the data in a succinct and interpretable manner are currently not available. Without the ability to integrate, compare, and compute multiple data sources in one platform, physicians can only compute simple statistical values to describe patients behavior vaguely, which limits the possibility to answer clinical questions and generate hypotheses for research. To address this challenge, we have developed M<sc>otion</sc> B<sc>rowser</sc>, an interactive visual analytics system which provides an efficient framework to extract and compare muscle activity patterns from the patients limbs and coordinated views to help users analyze muscle signals, motion data, and video information to address different tasks. The system was developed as a result of a collaborative endeavor between computer scientists and orthopedic surgery and rehabilitation physicians. We present case studies showing physicians can utilize the information displayed to understand how individuals coordinate their muscles to initiate appropriate treatment and generate new hypotheses for future research. (AU)

FAPESP's process: 16/04391-2 - Mathematical morphology operators for the visual analytics of urban data
Grantee:Fábio Augusto Salve Dias
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor