A microprocessor based EEG analyzer for early diagnosis of Alzheimer's disease

Date

1983

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Abstract

Alzheimer's disease is a form of senile dementia related to a biochemical (cholinergic) deficiency in its initial stages, followed by progressive structural damage of the central nervous system. Its victims, estimated at over a million today, suffer from memory impairment and have difficulties in speech and comprehension. The memory impairment has been associated with a deficit in a functional component of attention termed "Focussed Arousal". Short, aperiodic bursts of EEG activity, in a narrow frequency band (36-44 Hz) centered at 40 Hz have been established as an indicator of this state of "Focussed Arousal", and their presence can serve as a diagnostic tool in Alzheimer's disease management. The automated detection of these 40 Hz bursts is seriously hampered by the presence of high amplitude EMG signals from the scalp muscles and by the low amplitude of the 40 Hz EEG. Another problem to contend with is interference at the power supply frequency. An automated EEG analyzer, using state of the art microprocessors, has beer developed to detect the presence of 40 Hz activity in the EEG signals from the left and right hemispheres of the brain. The entire system is housed in a small box with its own power supply. It is easily portable and can be used in just about any environment. The output of the system can be used as a non-invasive diagnostic measure for the early diagnosis of Alzheimer's disease.

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Keywords

Alzheimer's disease--Diagnosis--Data processing, Medicine--Data processing

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