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Yumi Dobashi
Observed name:
Y. Dobashi
Institution:
Mejiro University
Observed institutions:
Waseda University,
Kyoto University,
Mejiro University
ORCID:
0009-0000-4957-7060
Observed ORCID:
0009-0000-4957-7060
OpenAlex ID:
A5031488064
Monitoring Nystagmus in a Patient With Vertigo Using a Commercial Mini-Infrared Camera and 3D Printer: Cost-Effectiveness Evaluation and Case Report
2025
·
Hiroyuki Sakazaki
, Masao Noda
, et al.
·
JMIR Formative Research
·
7
PDF
Development of an Eco-Friendly Smartphone-Assisted Nystagmus Recording System for Recording Vertigo Attacks Anytime, Anywhere: Pilot App Development Study
2025
·
Yumi Dobashi
, Masao Noda
, et al.
·
JMIR Formative Research
·
3
Sequential Error Rate evaluation of SSVEP classification problem with Bayesian sequential learning
2010
·
Hideyuki Hara
, Atsushi Takemoto
, et al.
·
IEEE International Conference on Information Technology and Applications in Biomedicine
·
2
Characteristics of self-motion sensation after major earthquakes: An internet survey
2025
·
Reiko Tsunoda
, Tomohiko Kamo
, et al.
·
PLoS ONE
·
1
PDF
Validation of a portable video head impulse test using an iPod touch and an oral stabilization three-dimensional (3D) - printed mount: a method-comparison study
2026
·
Masao Noda
, Tatsuaki Kuroda
, et al.
·
Frontiers in Neurology
PDF
New Fresnel lens loupe for nystagmus observation suitable for use by medical staff in emergency departments
2024
·
Reiko Tsunoda
, Yumi Dobashi
, et al.
·
International Journal of Emergency Medicine
PDF
Effectiveness of oculomotor function test using iPad application and its potential clinical application
2021
·
Mayumi Endo
, Yumi Dobashi
, et al.
·
Equilibrium Research
PDF
Bayesian Sequential Learning for EEG-Based BCI Classification Problems
2013
·
S. Shigezumi
, H. Hara
, et al.
·
InTech eBooks
PDF
Automatic Determination of Stopping Time of Training Phase in SSVEP-based Brain-Machine Interface with Bayesian Sequential Learning
2012
·
Yumi Dobashi
, Atsushi Takemoto
, et al.
·
IASTED International Conference on Biomedical Engineering (BioMed)
Online Brain-machine Interface With Automatic Determination of Stopping Time of Training Phase
2012
·
Yumi Dobashi
, Atsushi Takemoto
, et al.
·
International Journal of Computational Bioscience
PDF
Sequential Learning of EEG:SSVEP Four-class Classification:Sequential Monte Carlo Implemention
2011
·
Shu Shigezumi
, Hideyuki Hara
, et al.
·
IEICE Technical Report; IEICE Tech. Rep.
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Works count:
11
Citation count:
13
H-index:
2
I10-index:
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