Authors:
Minoru Nakayama
1
;
Wioletta Nowak
2
;
Hitoshi Ishikawa
3
and
Ken Asakawa
3
Affiliations:
1
Tokyo Institute of Technology, Japan
;
2
Wroclaw University of Technology, Poland
;
3
Kitasato University, Japan
Keyword(s):
Pupil light reflex, Waveforms, Fourier descriptor, Dissimilarity, Multidimensional scaling.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Informatics in Control, Automation and Robotics
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing, Sensors, Systems Modeling and Control
;
Soft Computing
;
Time and Frequency Response
;
Time-Frequency Analysis
Abstract:
The waveforms of Pupillary Light Reflex (PLR) can be analyzed in a diagnostic test that allows for differentiation between disorders affecting photoreceptors and those affecting retinal ganglion cells. This position paper proposes quantitative comparison metrics for waveform shapes using Discrete Fourier Transform (DFT) descriptors (FDs), and another procedure for emphasizing stimuli and subject differences using MultiDimensional Scaling (MDS) and clustering, where dissimilarities between stimuli are defined using descriptors as waveform features. To determine the efficiency of the procedures, a set of PLR data from a conventional experiment for the determination of a melanopsin-associated photoreceptive system was analyzed. Though the captured data was based on single trial for the stimuli, and the number of samples was small, both characteristics of stimuli and subjects were quantitatively extracted using the proposed procedures. Therefore, the possibility of applying the procedure
s to clinical diagnostics using PLR was examined.
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