0.1. What Are Physiological Signals?0.1. What Are Physiological Signals?0.1. What Are Physiological Signals?0.1. What Are Physiological Signals?
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CleverPoint 4 User Manual

16
  • Introduction
    • Customer Support
    • Regulatory Compliance
    • Warranty and Copyright
  • Product Information
    • Product information
    • Technical specifications
    • Application compatibility
    • Safety precautions
    • Maintenance
  • Getting Started
    • Kit contains
    • Equipment Check
    • Types of CleverPoint 4 Indications
    • Charging your CleverPoint 4
    • Turning CleverPoint 4 on/off
    • First time Wi-Fi setup
    • Connecting CleverMask to the VR Headset
    • Connecting the ECG cable to CleverPoint 4

Stressonika - Guide for Working with raw ECG data

20
  • Introduction
  • Chapter 1. General points.
    • General points
  • Chapter 2. Cardio domain
    • Cardio domain
    • Sector. 1
    • Sector. 2
    • Sector. 3
    • Sector 4
    • Sector 5
    • Sector 6
    • Sector 7
    • Sector 8
  • Chapter 3. Cardio domain: examples
    • Cardio domain: examples
    • 3.1. ECG recording quality
    • 3.2. Preparing the “Cardio domain” page for consultation
    • 3.3 Viewing the “Cardio domain” page during consultation (Example 1)
    • 3.4 . Viewing the “Cardio domain” page during consultation (Example 2)
    • 3.5. Viewing the “Cardio domain” page during consultation (Example 3)
    • 3.6 . Viewing the “Cardio domain” page during consultation (Example 4)
    • 3.7. Viewing the “Cardio domain” page during consultation (Example 5)
    • 3.8. The “Cardio domain” page. Conclusion.

CleverPoint View Data v2.15 User Guide

55
  • Introduction
    • Introduction
  • 0. Fundamentals of Electrophysiology for Beginners
    • 0.1. What Are Physiological Signals?
    • 0.2. Autonomic Nervous System (ANS)
    • 0.3. Emotions and the Brain
    • 0.4. Electrodes and Their Placement in the CleverPoint Setup
  • 1. General Principles of Signal Processing
    • 1.1. Basic Transformations
    • 1.2. Marking and Trim
    • 1.3. CAR (Common Average Reference)
    • 1.4. Denoise (Blink Artifact Suppression)
    • 1.5. Normalize
    • 1.6. IMF (Empirical Mode Decomposition)
    • 1.7. Filtering
    • 1.8. Power vs Amplitude
    • 1.9. Epoch
  • 2. “Summary” Interface
    • 2.1. Purpose
    • 2.2. Controls
    • 2.3. Graphs
    • 2.4. Data Export
  • 3. “Time Domain” Interface
    • 3.1. Purpose
    • 3.2. Controls
    • 3.3. Signal Display
    • 3.4. Signal Transformations
  • 4. “Frequency Domain” Interface
    • 4.1. Purpose
    • 4.2. Interface Structure
    • 4.3. Controls
    • 4.4. Spectral Analysis Methods
    • 4.5. Channel Correlation
    • 4.6. Time Series
  • 5. “Power Domain” Interface
    • 5.1. Purpose
    • 5.2. “Power by sections” Mode
    • 5.3. “Between-channel interactions” Mode
    • 5.4. Frequency-Band Graphs
  • 6. “Coherence” Interface
    • 6.1. Purpose
    • 6.2. Controls
    • 6.3. Coherence Calculation Method
    • 6.4. Display
    • 6.5. Interpretation
    • 6.6. Use in Research
  • 7. “Emotional State” Interface
    • 7.1. Purpose
    • 7.2. Interface Structure
    • 7.3. Controls
    • 7.4. Emotion Calculation Method
    • 7.5. Display
    • 7.6. Section Selection
  • 8. “Cardio Domain” Interface
    • 8.1. Purpose
    • 8.2. Interface Structure
    • 8.3. Controls
    • 8.4. Extraction of RR Intervals
    • 8.5. HRV Parameters
    • 8.6. Visualization
    • 8.7. Data Export
  • 9. Conclusion
    • Conclusion
    • 9.1. Recommendations for Use
    • 9.2. Additional Resources
    • 9.3. Beginner’s Guide
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  • 0. Fundamentals of Electrophysiology for Beginners
  • 0.1. What Are Physiological Signals?

0.1. What Are Physiological Signals?

2 min read

Physiological signals are electrical potentials generated as a result of the activity of living tissues. This application analyzes three main types of signals:

0.1.1. EEG (Electroencephalogram) #

Physiological basis: EEG records the electrical activity of the cerebral cortex. This activity arises from synchronized changes in the membrane potentials of large groups of neurons (pyramidal cells).

    How it works:

    • Neurons generate electrical potentials when transmitting information.
    • When thousands of neurons become active synchronously, their potentials sum together.
    • Electrodes on the surface of the head record these summed potentials.
    • The signal amplitude is typically 10–100 microvolts (µV).

    What EEG shows:

    • General brain state (wakefulness, sleep, coma)
    • Cognitive processes (attention, memory, thinking)
    • Emotional states
    • Pathological changes (epilepsy, tumors)

    EEG frequency ranges (and their physiological meaning):

    • Delta (0.5–4 Hz): Deep sleep, pathological conditions, infancy
    • Theta (4–8 Hz): Light sleep, meditation, creative thinking, learning
    • Alpha (8–13 Hz): Relaxed wakefulness with eyes closed, calm state
    • Beta (13–30 Hz): Active thinking, concentration, problem solving
    • Gamma (30–100 Hz): High-level cognitive processing, binding information from different brain areas

    0.1.2. ECG (Electrocardiogram) #

    Physiological basis: ECG records the electrical activity of the heart. Each heartbeat (systole) is initiated by an electrical impulse that propagates through the heart’s conduction system.

    How it works:

    • The sinoatrial node (the pacemaker) generates an electrical impulse.
    • The impulse spreads through the atria to the atrioventricular node and then to the ventricles.
    • Electrodes on the body record these electrical changes.
    • The R-peak in the ECG corresponds to ventricular depolarization (contraction).

    What ECG shows:

    • Heart rate (pulse)
    • Rhythm regularity
    • The state of the cardiac conduction system
    • Heart rate variability (HRV), an indicator of autonomic regulation

    Heart rate variability (HRV):

    • A healthy heart does not beat like a metronome—intervals between beats constantly change.
    • This variability is controlled by the autonomic nervous system.
    • High variability = good adaptability and health.
    • Low variability = stress, fatigue, and possible health problems.

    0.1.3. EMG (Electromyogram) #

    Physiological basis: EMG records the electrical activity of muscles. When a muscle contracts, muscle fibers generate electrical potentials.

    How it works:

    • Motor neurons send signals to muscle fibers.
    • Muscle fibers depolarize and contract.
    • Electrodes on the skin record this activity.
    • In this application, EMG is recorded from facial muscles (Zygoma — cheek muscles).

    What EMG shows:

    • Muscle tension
    • Facial reactions (smile, grimace)
    • Stress and emotional reactions (facial muscle tension)
    Updated on 21.03.2026

    What are your Feelings

    • Happy
    • Normal
    • Sad

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    0.4. Electrodes and Their Placement in the CleverPoint Setup0.2. Autonomic Nervous System (ANS)
    Table of Contents
    • 0.1.1. EEG (Electroencephalogram)
    • 0.1.2. ECG (Electrocardiogram)
    • 0.1.3. EMG (Electromyogram)

    Our mission

    Our mission is to develop products that heighten user awareness of the pivotal role physiology plays in personal and professional endeavors.

    We strive to empower our users with the tools to effectively manage stress, prevent burnout, and optimize their well-being.

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