An Application of Double-Wayland Algorithm to Detect Anomalous Signals

Tanaka, Hiroki; Tsunashima, Hitoshi; Yamazaki, Daishi; Shiozawa, Tomoki; Nakayama, Meiho; Morimoto, Takayuki; Miyao, Masaru

doi:10.1007/978-3-540-46375-7_57

Cited by 9 publications

(8 citation statements)

References 1 publication

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“…The BFT is also known as a countermeasure for patients with intractable epilepsy and as a method of reducing mental stress [28,29]. Although an objective evaluation method has not yet been established, subjective evaluation has been carried out and the relevant findings have been reported by a previous study.…”

Section: Discussionmentioning

confidence: 99%

“…Step 4: In conjunction with Step 3, the optical brain function imaging device LABNIRS (Shimadzu Corporation, Kyoto) was used to measure Co and Cd at a sampling frequency of 17.5 Hz [19,23]. A holder was placed on the subject's head, with light-emitting/receiving probes arranged based on the international 10-20 sensor placement, as shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, it was possible to measure the degree of determinism for the mathematical model of the time series {x(t)}. The translation errors E trans [23] and the sequences of their temporal differences were estimated for each time series using the Double-Wayland algorithm [23,24]. Additionally, we compared the E trans of the abovementioned time series with their surrogate sequences generated using the Fourier shuffle (FS) algorithm [25,26].…”

Section: Methodsmentioning

confidence: 99%

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Trial on Low-Pass Filter Design for Bio-Signal Based on Nonlinear Analysis

Tanimura¹,

Jono²,

Hirata³

et al. 2019

Forma

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The nonlinearity of the mathematical model describing the cerebral blood flow dynamics and the body sway in the prefrontal cortex was investigated experimentally. The measured bio-signal data were smoothed with each low-pass filter. The signal was set to 0.1-2 Hz for the cerebral blood flow dynamics and to 0.1-20 Hz for the body sway. Nonlinearity was observed in the biological signal when the cutoff frequency of the low-pass filtering was 0.2 Hz or less, and while the body sway was 0.5 Hz or less, and was considered as a stochastic differential equations.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Trial on Low-Pass Filter Design for Bio-Signal Based on Nonlinear Analysis

Tanimura¹,

Jono²,

Hirata³

et al. 2019

Forma

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“…Moreover, we wondered if noise terms vanished from the mathematical model of the body sway. Using our Double-Wayland algorithm (Takada et al, 2006), we evaluated the degree of visible determinism for the dynamics of the sway. We also investigated the relationship between the body sway and head acceleration by using transfer function analysis (Takada et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Stereoscopic Displays and Accommodative Focus

Fujikake¹,

Omori²,

Hasegawa³

et al. 2014

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In the present study, we examined the visual accommodation of subjects who were gazing fixedly at stereoscopic images on two different displays: a cathode ray tube (CRT) with the subjects wearing liquid crystal shutter glasses and a liquid crystal display (LCD) with the subjects not wearing liquid crystal shutter glasses. In Experiment 1, we measured accommodation in subjects viewing a moving stereoscopic image. In Experiment 2, we measured accommodation in subjects viewing moving stereoscopic images on an LCD and a CRT. In Experiment 3, we measured accommodation in subjects viewing a stereoscopic image moving from far to near on an LCD. In Experiment 4, we measured of accommodation in subjects viewing moving stereoscopic images (stereoscopic display mode) and non-stereoscopic images (2-D mode) on an LCD.The results suggested, the ciliary muscle is repeatedly strained and relaxed while the subject views the moving target. In the present study, the subjects' accommodative amplitude was changed when the target moved from the near to far point, and vice versa.

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“…Thus, 2D/3D video clips are herein regarded as visual stimulus that do not/do induce the VIMS, respectively. SKGs generated from the GAN every 10,000 steps was evaluated by calculating the translation error using the Wayland algorithm [31][32].…”

Section: Simulationmentioning

confidence: 99%

Numerical Analysis for Feature Extraction and Evaluation of 3D Sickness

Nakane¹,

Ono²,

Tanaka³

2021

Adv. sci. technol. eng. syst. j.

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Artificial intelligence (AI) systems have been applied not only to numerical simulations of the economical sequences but also to the bio-signal, for instance, the statokinesigrams (SKGs). According to the nonlinear analysis of the bio-signal, we have considered that the motion process of the body sway is more random than that of the other bio-signal. In this study, we proposed a method for the numerical analysis of biological data using AI. The AI numerical solutions can indicate graphs that are very similar to the SKGs in degree of the determinism. In addition, we succeeded in extracting partial figure patterns that the AI regarded as a feature of 3D sickness. Compering with the properties resulting from the mathematical analysis, interpretations can be given for the black box processing in the AI.

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An Application of Double-Wayland Algorithm to Detect Anomalous Signals

Cited by 9 publications

References 1 publication

Trial on Low-Pass Filter Design for Bio-Signal Based on Nonlinear Analysis

Trial on Low-Pass Filter Design for Bio-Signal Based on Nonlinear Analysis

Stereoscopic Displays and Accommodative Focus

Numerical Analysis for Feature Extraction and Evaluation of 3D Sickness

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