A5046381446- Electric Motor Design and Analysis
- Magnetic Bearings and Levitation Dynamics
- Sensorless Control of Electric Motors
- Magnetic Properties and Applications
- Sleep and Wakefulness Research
- Sleep and related disorders
- EEG and Brain-Computer Interfaces
- Sleep and Work-Related Fatigue
- Real-time simulation and control systems
- Induction Heating and Inverter Technology
- Multilevel Inverters and Converters
- Electric and Hybrid Vehicle Technologies
- Engineering Applied Research
- Obstructive Sleep Apnea Research
- Neural dynamics and brain function
- Advanced DC-DC Converters
- Olfactory and Sensory Function Studies
- Magnetic Field Sensors Techniques
- Ergonomics and Musculoskeletal Disorders
- Electric Power Systems and Control
- Non-Destructive Testing Techniques
- Human-Automation Interaction and Safety
- Neuroscience of respiration and sleep
- Wireless Power Transfer Systems
- Silicon Carbide Semiconductor Technologies
University of Tsukuba
2018-2025
Tsukuba International University
2018-2025
Nagasaki University
2015-2024
Shibuya (Japan)
2012-2024
Niigata University
2024
National Institute of Integrative Medicine
2023
Nagoya University
2021
Japan Aerospace Exploration Agency
2014-2020
National Institute of Advanced Industrial Science and Technology
2018-2020
National Center of Neurology and Psychiatry
2020
The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method was developed to evaluate brain's glymphatic function or interstitial fluid dynamics. This study aimed reproducibility of DTI-ALPS and effect modifications in imaging data evaluation.Seven healthy volunteers were enrolled this study. Image acquisition performed for test-retest using a fixed sequence modified methods which included placement region interest (ROI), plane, head position, averaging, number...
We present a new approach to classifying the sleep stage that incorporates computationally inexpensive method based on permutations for channel selection and takes advantage of deep learning power, specifically gated recurrent unit (GRU) model, along with other methods. By systematically permuting electroencephalographic (EEG) channels, different combinations EEG channels are evaluated identify most informative subset classification 5-class stage. For analysis, we used an dataset was...
In this study we explore how different levels of emotional intensity (Arousal) and pleasantness (Valence) are reflected in electroencephalographic (EEG) signals. We performed the experiments on EEG data 32 subjects from DEAP public dataset, where were stimulated using 60-s videos to elicitate Arousal/Valence then self-reported rating 1 9 self-assessment Manikin (SAM). The was pre-processed used as input a convolutional neural network (CNN). First, channels compute maximum accuracy level...
Non-canonical terpene synthases with primary sequences that are unrecognizable as canonical could be discovered through structural-model-based genome mining.
In remote areas, visiting a laboratory for sleep testing is inconvenient. We, therefore, developed Mobile Sleep Lab in bus powered by fuel cells with two measurement chambers. As the environment could affect sleep, we examined whether was as feasible conventional (Human Lab). We tested 15 healthy adults four nights using polysomnography (the first at Human or switch to other facility next nights). variables of measurements were used assess discrepancy different places nights. No significant...
Research suggests that dreams play a role in the regulation of emotional processing and memory consolidation; electroencephalography (EEG) is useful for studying them, but manual annotation time‐consuming prone to bias. This study was aimed at developing an EEG‐based machine learning (ML) model automatically identify dream dreamless states sleep. We extracted features from EEG data using common spatial patterns (CSPs) discrete wavelet transform (DWT) used them classify signals into ML...
Sleep problems are known to be risk factors for subsequent emotional and behavioral difficulties in childhood adolescence. To date, there has been no study investigating the relationships between sleep habits a large nonclinical sample of preschool age children. The aim this was examine these associated with (2 5 year old) Their mothers (n = 1,746) completed multiple-choice questionnaire about behavior their children, as well own working hours at Tokyo metropolitan public nursery schools....
Sleepiness is an important factor in traffic accidents caused by human error. The purpose of this paper to review a number studies conducted over the years regarding effect lack sleep on incidence as well individual effects various disorders accidents. In addition, we discuss recent advances methods detecting sleepiness and strategies for preventing accident using these methods.
Determine the effects of high versus moderate workload on sleep physiology and neurobehavioral measures, during restriction (SR) no (NSR) conditions.
Previous studies have suggested that patients with obstructive sleep apnea syndrome (OSAS) are at an increased risk of motor vehicle accidents (MVAs). This study is the first systematic investigation MVA among Japanese drivers (OSAS). We investigated rate MVAs in preceding 5 years and dozing off wheel male OSAS (n = 616, mean [S.D.] age: 46.3 [10.1] old) age-matched controls 600), characteristics who experienced multiple as well effectiveness continuous positive airway pressure (CPAP)...
Sleepiness and fatigue are important risk factors for traffic accidents. However, the relation between accident type lack of sleep as well spells driving has not been examined sufficiently. This study aimed to clarify that short duration long more associated with rear-end collisions single-car accidents compared other types in cases people who cause After removing drunken a accidents, 1772 parties involved were questioned. The quantities were, respectively, 240 293. Logistic regression...
Abstract Scoring sleep stages from biological signals is an essential but labor-intensive inspection for diagnosis. The existing automated scoring methods have achieved high accuracy are not widely applied in clinical practice. In our understanding, the failed to establish trust of experts (e.g., physicians and technologists) due a lack ability explain evidences/clues scoring. this study, we developed deep-learning-based model with reasoning mechanism called class activation mapping (CAM)...
Ingesting oolong tea or caffeine acutely increases energy expenditure, and tea, but not caffeine, stimulates fat oxidation. The acute effects of such as increased heart rate interference with sleep, diminish over 1-4 days, known tolerance. During each 14-day session the present study, 12 non-obese males consumed (100 mg 21.4 gallic acid, 97 catechins 125 polymerized polyphenol), mg), placebo at breakfast lunch. On day 14 session, 24-h indirect calorimetry polysomnographic sleep recording...
Abstract Purpose To visualize and analyze the dynamics of cerebrospinal fluid (CSF) motion in cranium, we evaluated distribution motion-related signal dephasing by CSF on Diffusion ANalysis DYnamics with Incremental Strength Motion proving gradient (DANDYISM) method, a composite imaging method using various low b values. Materials methods This study examined ten subjects aged 25–58. We acquired DWIs 3T clinical scanner values 0, 50, 100, 200, 300, 500, 700, 1000 s/mm 2 total time 4 min....
The authors proposed a high power and low vibration novel segment type switched reluctance motor (SRM), but it had problem of large torque ripple. We also the SRM with 2-steps slide or skew rotor to reduce produced experimental machine measured characteristics. average was decreased slightly in comparison non one, ripple well too. In this paper, we apply current control method aiming at additional reduction.