Quantifying the Mind by MDFA: Collaboration between Neurobiology and Statistical Physics
Published on 12. August 2020
126 pages
978-1-5361-8281-1 (ISBN)
Description
Emotions of fear, tension or happiness can be quantitatively measurable using a method that calculates a measure called scaling exponent (SI). The measure SI is computed from consecutive pulse data approximately 2000. The methodology is heartbeat interval timeseries analysis. The name is the modified detrended fluctuation analysis (mDFA). This book introduces how the methodology works. Experimental evidences shown are obtained from neurobiological, mainly electrophysiological investigations on invertebrate animals and humans. The heartbeat carries something that cannot be seen from outside. mDFA reveals it. Knowing what's happening behind the heartbeat is reading internal world of us. Checking the heart may be possible to prevent disaster before crisis. The quantifying method will reinforce safety and security applications if it will be incorporated into a gadget although an accurate 2000-beat data-logger has not yet been develop.
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08/2020
Nova Science Publishers Inc
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Content
- Intro
- Contents
- Preface
- Acknowledgments
- Introduction
- Chapter 1
- Overture to Quantifying the Mind
- 1.1. Startle, Fear and Avoidance Response
- 1.1.1. Shadow Reflex
- 1.1.1.1. Snail's Reflex
- 1.1.1.2. Shadow-Withdrawal Reflex in the Worm Shell Snail
- 1.1.1.3. Neural Circuit Responsible for Habituation in Shadow Reflex of a Worm Shell Snail
- 1.1.2. Startle, Fear and Avoidance Response in the Heart
- 1.1.2.1. Cardiac Inhibition Caused by Shadows
- 1.1.2.2. Land Crabs That Do Not Show Cardiac Inhibition
- 1.1.2.3. Animals That Show Almost no Reaction to Shadows
- 1.1.2.4. Tactile Stimulation
- 1.1.2.5. Not Shadow but Tactile Response
- 1.1.2.6. Why Do Crustaceans Fear Shadows? A Speculation
- 1.1.3. Neurobiology of Cardiac Reflex
- 1.1.3.1. Invertebrate Model
- 1.1.3.2. Crustacean Cardiovascular System
- 1.1.3.3. Neurotransmitter Substance for the Inhibitor and Accelerator
- 1.1.3.4. Electrophysiological Recording of Cardiac Nerve Activities
- 1.1.3.5. Cardiac Nerve Activities Associated with Cardiac Inhibition
- 1.1.4. Learning and Memory in Cardiac Reflex
- 1.1.4.1. Habituation of Cardiac Inhibitory Response
- 1.1.5. Vital Observation of the Animal Mind
- 1.1.5.1. Association of Respiration and Circulation
- 1.1.5.2. Spontaneous Cardiac Inhibition: An Ascidian Animal
- 1.1.5.3. Heart Monitor
- 1.1.5.4. The Heart Stops at Intervals of Several Minutes: Evidence for Natural Cardiac Arrest in Various Animals
- 1.1.6. Animals Watch Out for Humans "With Their Heart"
- 1.1.6.1. Have You Ever Seen Living Lobsters in Nature? A Snorkeler
- 1.1.7. The Heart is the Window of the Mind
- 1.1.7.1. EKG of Spiny Lobster Reveals "My Heart Starts Pounding against Human"
- 1.1.7.2. EKG of Spiny Lobster Reveals "Post-Traumatic Stress Disorder"
- 1.1.7.3. Acute Stress Responses
- 1.1.7.4. EKG of Homarus Lobster Quietly Sends Message "I Am Sick"
- Quantifying the Mind
- 2.1. Quantification Method
- 2.1.1. PSD
- 2.1.2. Testing PSD on Two Distinct Hearts. It's a Good Idea, Right?
- 2.1.3. Is There Any Alternative Method?
- 2.1.3.1. Time Series Analysis
- 2.1.3.2. Data Preparation before Numerical Computation
- 2.1.3.2.1. Sampling Rate
- 2.1.3.2.2. Data Logging
- 2.1.3.2.3. Peak Identification
- 2.1.3.3. Algorithm: mDFA vs. DFA
- 2.1.3.4. Fitting: mDFA vs. DFA
- 2.1.3.5. Detrend: DFA vs. mDFA
- 2.1.3.6. Root-Mean-Square and Box Size n: DFA vs. mDFA
- 2.2. Quantitative Distinction: Healthy or Unhealthy
- 2.2.1. Healthiness: Scaling Exponent "One" and 1/f Spectrum
- 2.2.2. A Long-Term EKG Recording until the End of Life
- 2.2.2.1. Naturally Dying Specimen
- 2.2.2.2. Suddenly Died Specimen
- 2.2.2.3. Differences between Natural Death and Sudden Death
- 2.2.2.3.1. Natural Death
- 2.2.2.3.2. Sudden Death
- 2.2.2.3.3. Physiology Explains Sudden Death Mystery
- 2.2.3. Myocardial Injury and Interval Time Series
- 2.2.4. From Crab to Human
- 2.2.5. In the Large Room at the Innovation Japan Exhibition
- 2.2.6. At An Exhibition in Nagoya
- 2.3. Individuality: Health Checking with the Scaling Exponent
- 2.3.1. One or Not One, That is the Problem
- 2.3.2. Representative mDFA: A Woman Whose Exponent is One
- 2.4. Relationship between the Mind and the Scaling Exponent: Invisible Emotion, Happiness, Fear or Anxiety
- 2.4.1. Case Study: At the Indonesian University
- 2.4.2. Case Study: Job Stress
- 2.4.3. Case Study: Sleeping
- 2.4.4. Case Study: Passenger Aircraft: Feeling-Scared Landing
- 2.4.5. Case Study: Driving Safely to the Hospital to See Mother- in-Law
- 2.4.6. Case Study: Empathizing with Eddie Murphy's Movie
- 2.4.7. Case Study: Food and Drink
- 2.4.8. Case Study: Exercise, Squatting
- 2.4.9. Case Study: Exercise, Ergometer
- 2.4.10. Case Study: Sports Medalists
- 2.4.11. Case Study: Runner's High
- 2.4.12. Case Study: WPW Syndrome
- 2.4.13. Case Study: Bundle Branch Block, Problems in the Electrical Conduction System of the Heart
- 2.4.14. Case Study: Joy, Feeling Great
- 2.4.15. Case Study: Application to Abiotic Process, Non-Living Materials
- 2.5. Statistics of Scaling Exponent: Concluding Remarks
- References
- About the Author
- Index
- Blank Page
- Blank Page
