Many medical diagnoses depend on the ability to record and analyse the electrical activity of the human body. Such electrical activity may be detected in the form of brain waves, through electroencephalograms (EEGs), electrocardiograms (ECGs), and electromyograms (EMGs).

EEG recordings are used to identify conditions ranging from disturbed sleep patterns to epilepsy. ECGs are used to diagnose irregular heart rhythms. EMGs are used to identify muscular motor control. These signals are dynamic in nature, and are highly localised within the body, requiring monitoring at multiple locations. A typical EEG recording may involve 20 or 30 electrodes placed on the patient's head.

The diagnosis of medical conditions based on such recordings requires analysis based on the detection of particular signature patterns within the signals, and the correlation of these patterns between sensor locations. The dynamic acquisition and analysis technology of HGL Dynamics can acquire simultaneous signals at high bandwidth, allowing rapid correlation and pattern identification, easing the diagnosis process and improving reliability.