Shaw, Fu-ZenFu-ZenShawRUEI-FENG CHENHEN-WAI TSAOCHEN-TUNG YEN2009-03-112018-07-062009-03-112018-07-06199901650270http://ntur.lib.ntu.edu.tw//handle/246246/144011http://ntur.lib.ntu.edu.tw/bitstream/246246/144011/1/07.pdfThis study introduces algorithmic complexity to measure characteristics of brain functions. The EEG of the rat was recorded with implanted electrodes. The normalized complexity value was relatively independent of data length, and it showed a simpler and easier calculation characteristic than other non-linear indexes. The complexity index revealed significant differences among awake, asleep, and anesthetized states. It may be useful in tracking short-term and long-term changes in brain functions, such as anesthetized depth, drug effects, or sleep-wakefulness.application/pdf369031 bytesapplication/pdfen-USChaotic; Chronic recording; Consciousness; Nonlinear; Sleeppentobarbital; anesthesia; article; brain cortex; brain function; calculation; chaotic dynamics; consciousness; electroencephalography; male; measurement; monitoring; nonhuman; nonlinear system; priority journal; rat; sleep; wakefulness; Algorithms; Anesthesia; Animals; Cerebral Cortex; Electrodes, Implanted; Electroencephalography; Hypnotics and Sedatives; Male; Pentobarbital; Rats; Rats, Wistar; Sleep; Wakefulnessjournal article10.1016/S0165-0270(99)00133-810634495http://ntur.lib.ntu.edu.tw/bitstream/246246/144011/1/07.pdf