We attempted to develop an automated sleep analysis system that uses a pers
onal computer as an aid to the entire sleep research process. Analysis is b
ased on electroencephalogram, chin muscle electromyogram and electrooculogr
aphy, while other physiological phenomena can be handled arbitrarily. Major
characteristics of the system include: (i) simultaneous gathering of physi
ological phenomena from up to three patients; (ii) high-speed waveform anal
ysis; (iii) user-friendly operating environment through the use of a graphi
cal user interface; and (iv) versatile utilization of analytical data in re
search.