Bioelectricity: A Course Outline

Many cells in the body respond to electrical signals, and the body itself generates electricity every second. A sketch of how an introductory course on the subject can be structured.

Why engineers study bioelectricity

It is widely known that nerves and muscles communicate electrically, but it is less often appreciated how much of physiology can be described with the same tools used for circuits. A cell membrane separates charges and behaves like a capacitor; ion channels act as variable resistors; the gradients of sodium and potassium across the membrane work like small batteries. An introductory course in bioelectricity uses this overlap to teach electrical engineering students biology, and biology students quantitative modelling.

A possible sequence of topics

  1. Resting potential. Ion concentration gradients, the Nernst equation for a single ion, and the Goldman–Hodgkin–Katz equation for several ions at once.
  2. The membrane as a circuit. Capacitance, conductance and the equivalent circuit of a patch of membrane.
  3. The action potential. The Hodgkin–Huxley model, published in 1952 from experiments on the squid giant axon and recognised with the Nobel Prize in 1963. Students implement it numerically and watch an action potential emerge from four differential equations.
  4. Propagation. Cable theory, the role of myelin and saltatory conduction, conduction velocity.
  5. The heart as a source. How cardiac cells differ from neurons, pacemaker activity and how a wave of excitation spreads through the heart.
  6. Measuring from outside. Volume conductors, electrode placement and the electrocardiogram.
Electrocardiogram trace on grid paper

The electrocardiogram as a capstone

The ECG is a good closing topic because it ties everything together. The heart is the largest bioelectrical source in the body, and its activity can be recorded from the skin with simple electrodes. Willem Einthoven’s string galvanometer made this practical at the beginning of the twentieth century, and he received the Nobel Prize for it in 1924. Interpreting the P wave, the QRS complex and the T wave requires students to connect cellular events to a signal measured many centimetres away.

Laboratory work

Hands-on sessions can be kept simple and safe: recording one’s own ECG with a low-cost amplifier, measuring muscle activity with surface electrodes, or simulating membrane models in a notebook environment. A small project – designing a filter that removes mains interference from a recorded signal, for example – lets students apply signal processing to a real biological measurement.

Assessment and learning objectives

Good objectives are measurable: describe how an ion channel gates, derive the resting potential from concentrations, implement and explain a membrane model, identify the components of an ECG. Problem sets build from membrane biophysics to tissue-level signals, and a final project asks students to explain one clinical or research application of bioelectricity in their own words.

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