Quantitative Approach for the Analysis of Fusional Convergence Using Eye-Tracking and SacLab Toolbox

Fusional vergence is a disjunctive movement of the eyes that is made in order to obtain single vision. The aim of the study was to provide a quantitative and objective approach for analyzing the fusional convergence response using eye tracking (ET) technology and automatic data analysis provided by the intuitive SacLab toolbox previously developed by our group. We evaluated the proposed approach in a population of 26 subjects with normal binocular vision, who were tested with base-out prisms (magnitudes 4Δ, 6Δ, and 10Δ) in order to elicit fusional convergence response. Eye movements were recorded using the Viewpoint ET and analyzed using SacLab. Parameters describing both the vergence and the version components of the fusional response (convergence duration, CD; peak convergence velocity, PCV; number of intrusive saccades, NS; and mean saccadic amplitude, MSA) were automatically calculated and provided to clinicians for an objective evaluation. Results showed that the number of subjects achieving fusional convergence decreased with prism magnitude. For subjects achieving fusion CD and PCV increased significantly (p<0.05) when increasing the prism magnitude. For NS and MSA, there were no significant changes when passing to 6Δ, but a significant increase resulted when passing to 10Δ (p<0.05). Noninvasive ET associated with the intuitive SacLab toolbox may represent a valid option to objectively characterize the fusional vergence response in clinical setting. The analysis may be extended to patients with vergence disorders.

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Automatic data analysis workflow for ultra-high performance liquid chromatography-high resolution mass spectrometry-based metabolomics

Journal of Chromatography A ◽

10.1016/j.chroma.2018.11.070 ◽

2019 ◽

Vol 1585 ◽

pp. 172-181 ◽

Cited By ~ 3

Author(s):

Yong-Jie Yu ◽

Qing-Xia Zheng ◽

Yue-Ming Zhang ◽

Qian Zhang ◽

Yu-Ying Zhang ◽

...

Keyword(s):

Mass Spectrometry ◽

High Performance Liquid Chromatography ◽

Liquid Chromatography ◽

Data Analysis ◽

High Performance ◽

High Resolution Mass Spectrometry ◽

Automatic Data ◽

Analysis Workflow ◽

Automatic Data Analysis ◽

Resolution Mass

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Development of a web-based epidemiological surveillance system with health system response for improving maternal and newborn health: Field-testing in Thailand

Health Informatics Journal ◽

10.1177/1460458216628312 ◽

2016 ◽

Vol 23 (2) ◽

pp. 109-123 ◽

Cited By ~ 3

Author(s):

Tippawan Liabsuetrakul ◽

Tagoon Prappre ◽

Pakamas Pairot ◽

Nurlisa Oumudee ◽

Monir Islam

Keyword(s):

Data Analysis ◽

Surveillance System ◽

Newborn Health ◽

Epidemiological Surveillance ◽

Maternal And Newborn Health ◽

Web Based ◽

Automatic Data ◽

Automatic Data Analysis ◽

Epidemiological Surveillance System ◽

Maternal And Newborn

Surveillance systems are yet to be integrated with health information systems for improving the health of pregnant mothers and their newborns, particularly in developing countries. This study aimed to develop a web-based epidemiological surveillance system for maternal and newborn health with integration of action-oriented responses and automatic data analysis with results presentations and to assess the system acceptance by nurses and doctors involved in various hospitals in southern Thailand. Freeware software and scripting languages were used. The system can be run on different platforms, and it is accessible via various electronic devices. Automatic data analysis with results presentations in the forms of graphs, tables and maps was part of the system. A multi-level security system was incorporated into the program. Most doctors and nurses involved in the study felt the system was easy to use and useful. This system can be integrated into country routine reporting system for monitoring maternal and newborn health and survival.

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Surveying the complementary role of automatic data analysis and visualization in knowledge discovery

Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09 ◽

10.1145/1562849.1562851 ◽

2009 ◽

Cited By ~ 42

Author(s):

Enrico Bertini ◽

Denis Lalanne

Keyword(s):

Data Analysis ◽

Knowledge Discovery ◽

Automatic Data ◽

Complementary Role ◽

Automatic Data Analysis

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Automatic data analysis of film dosemetry on narrow photon beams

Japanese Journal of Radiological Technology ◽

10.6009/jjrt.kj00001351733 ◽

1998 ◽

Vol 54 (1) ◽

pp. 63

Author(s):

Takashi Kawahara ◽

Kenzou Mitou ◽

Harumi Okabe ◽

Toshiyuki Kotani

Keyword(s):

Data Analysis ◽

Photon Beams ◽

Automatic Data ◽

Automatic Data Analysis

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Automatic Intelligent Data Analysis

Intelligent Data Analysis ◽

10.4018/978-1-59904-982-3.ch001 ◽

2009 ◽

pp. 1-17

Author(s):

Martin Spott ◽

Detlef Nauck

Keyword(s):

Data Analysis ◽

Knowledge Base ◽

Expert Knowledge ◽

Soft Constraints ◽

Intelligent Data Analysis ◽

Automatic Data ◽

Analysis Methods ◽

Automatic Data Analysis ◽

Data Analysis Methods ◽

Fuzzy Knowledge

This chapter introduces a new way of using soft constraints for selecting data analysis methods that match certain user requirements. It presents a software platform for automatic data analysis that uses a fuzzy knowledge base for automatically selecting and executing data analysis methods. In order to support business users in running data analysis projects the analytical process must be automated as much as possible. The authors argue that previous approaches based on the formalisation of analytical processes were less successful because selecting and running analytical methods is very much an experience-led heuristic process. The authors show that a system based on a fuzzy knowledge base that stores heuristic expert knowledge about data analysis can successfully lead to automatic intelligent data analysis.

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Analyzing Stimuli Presentations and Exit-Interview Protocols to Improve Wearable Eye-Tracking Data Collection Guidelines for Reading Research

International Journal of Computer-Assisted Language Learning and Teaching ◽

10.4018/ijcallt.2021040104 ◽

2021 ◽

Vol 11 (2) ◽

pp. 51-65

Author(s):

Hazita Azman ◽

Warid Mihat ◽

Or Kan Soh

Keyword(s):

Data Analysis ◽

Data Collection ◽

Eye Tracking ◽

Primary School ◽

Single Point ◽

Exit Interview ◽

Tracking Data ◽

Authentic Materials ◽

Preliminary Study ◽

Made In

Setting up an eye tracking experiment involves multitier processes that cover important issues such as developing the data collection guidelines, establishing data analysis protocols, and giving meaning to data. Although eye tracking handbooks have established imperative discussion on how the data should be analysed and written, there is still a dearth in the literature on data collection guidelines caused by the variety of features in different kinds of eye trackers. In this study, the researchers review the use of a wearable eye tracking apparatus with authentic materials and interview protocols. Exemplified through a preliminary study conducted on Year Six students in a primary school that investigates the internal processes of reading ESL texts, the significance and implications of using a wearable eye-tracking apparatus with a single point calibration are reported to improve the data collection guidelines. Relatedly, considerations for research procedures and instrument designs are also made in this paper.

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