Documentation

0.1. What Are Physiological Signals?

Updated 21 March 20262 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)