Bio-information for Hygiene

Preface
Contents
Chapter 1: Brain Measures
	1.1 Introduction
	1.2 Types of Brain Measures and Their Principles
		1.2.1 Configuration Measurements
		1.2.2 Function Measurements
	1.3 Actual Case of Functional Measurement
		1.3.1 Background
		1.3.2 Methods and Task Design
		1.3.3 Results and Discussion
	1.4 Conclusion
	References
Chapter 2: Endocrine System
	2.1 General Information
	2.2 The Hypothalamus and Pituitary Gland
	2.3 Thyroid Gland
	2.4 The Parathyroid Glands
	2.5 Adrenal Glands
	2.6 Endocrine Pancreas
Chapter 3: Electrocardiogram (ECG)
	3.1 Introduction
	3.2 Heart Rate Variability Indicator
	3.3 Maintaining and Improvement Arousal by Cardiorespiratory Phase Synchronization [10]
	3.4 Heart Rate Variability Measured by Wearable Devices
	3.5 Conclusion
	References
Chapter 4: Electrogastrography
	4.1 Introduction
	4.2 Mechanism
		4.2.1 Physiological Mechanism of EGG
		4.2.2 Methods of EGG
	4.3 Methodology to Evaluate EGG Data
		4.3.1 Advantages and Limitations of EGG
		4.3.2 Analytical Methods for EGG
			4.3.2.1 Linear Analysis
			4.3.2.2 Nonlinear Analysis
			4.3.2.3 Mathematical Model
	4.4 EGG Analysis Using AI
	References
Chapter 5: Measurements for Visual Function, Including Gaze, and Electrooculography (EOG)
	5.1 Introduction
	5.2 Types of Eye Movements
		5.2.1 Saccade (Saccadic Eye Movement)
		5.2.2 Smooth Pursuit Eye Movement
		5.2.3 Vergence (Convergence and Divergence) Eye Movement
		5.2.4 OKN
		5.2.5 VOR
		5.2.6 Rotational Eye Movement
	5.3 Measurement of Eye Movement
		5.3.1 Magnetic Search Coil Method
		5.3.2 PCCR Method
		5.3.3 Limbus Tracking Method
		5.3.4 Image Analysis Method
		5.3.5 EOG
	5.4 Development of an Index for Evaluating VIMS Using Gaze Data
		5.4.1 VIMS in Driving Simulator
		5.4.2 Evaluation of VIMS Using Gaze Data
	5.5 Conclusions
	References
Chapter 6: Electroencephalography (EEG): EEG as a Tool to Improve QOL and Maintain Healthy Brain
	6.1 Introduction
	6.2 Social Problems
	6.3 Communication Aid by the EEG
	6.4 Development of the Neurocommunicator
	6.5 Necessity of Cognitive Assessment
	6.6 Development of the Neurodetector
	6.7 Development of the Neurotrainer
	6.8 Summary
	References
Chapter 7: Electromyography and Performance
	7.1 Introduction
	7.2 Biofeedback Training
		7.2.1 Instrument
		7.2.2 Training
		7.2.3 Evaluation
	7.3 Visualization for Motion Performance
		7.3.1 Brain Activity During the BFT
		7.3.2 Mathematical Design for Bandpass Filters of the CBF
	Appendix
	References
Chapter 8: Polysomnography
	8.1 Introduction
	8.2 Polysomnography
	8.3 RBD Evaluations Based on PSG Findings
	8.4 Efforts Toward Automatic Analysis
		8.4.1 Acquisition of Experimental Data
		8.4.2 Pre-processing of Time-Series Data
		8.4.3 SVM and CNN Parameter Settings
		8.4.4 RBD Prevalence Using Discriminant Analysis
	8.5 Conclusions
	References
Chapter 9: Stabilometry
	9.1 Introduction
	9.2 Stereopsis
		9.2.1 Our Discovery in Previous Studies
		9.2.2 Effects of Low/High-Definition Stereoscopic Video Clips
		9.2.3 Simultaneous Measurement with fNIRS
	9.3 Mathematical Model
	9.4 New Models of Body Sway Described by AI
		9.4.1 Definition of GANs
		9.4.2 Model of Body Sway Described by GANs
	References
Chapter 10: Motion Capture
	10.1 Introduction
	10.2 Optical Motion Capture System
	10.3 Integrated Visualization of Motion and Biological Signals
	10.4 Visualization of Motion Loci, Velocity and Acceleration, and Muscle Activity
	10.5 Conclusion
	References
Chapter 11: A Development of Physical Feedback Structure for Virtual Rehabilitation System Using Air Pressure
	11.1 Introduction
	11.2 Preliminary
		11.2.1 Tactile Sensation
		11.2.2 Box and Block Test
	11.3 Method
		11.3.1 Box and Block Test on Unity
		11.3.2 Microcontroller
		11.3.3 Physical Feedback System with Pump
		11.3.4 Distance Measurement Between Block and Fingertip
	11.4 Experiment
	11.5 Results
	11.6 Discussions
	11.7 Conclusion
	References
Chapter 12: Artificial Intelligence for Medical Imaging and Hygiene
	12.1 Introduction
	12.2 Basis for Deep Learning in Medical Imaging
	12.3 Application of Artificial Intelligence in Medical Imaging
		12.3.1 Classification
		12.3.2 Detection
		12.3.3 Segmentation
		12.3.4 Secure Medical Images for Deep Learning
	12.4 Artificial Intelligence and Hygiene
	12.5 Conclusion
	References
Chapter 13: Meditation
	13.1 Introduction
	13.2 Autonomic Nervous System during Meditation
	13.3 Brain Activity During Meditation
	13.4 Perspective of New Meditation Method Using Auditory Stimulous
	13.5 Conclusion
	Appendix Foreword To: Dr. Tempu’s Book
	References