Biomedical subjects
Publications and source records attributed to J M Verlander.
An implantable radio telemetry system for transmitting deep body temperatures from dogs subjected to hyperbaric conditions was designed and tested. The design was adapted from a transmitter described by J. L. Riley, and was successfully tested both in vitro and in vivo to a simulated depth of 1000 FSW. Circuit schematic, printed circuit layout, and component layout are given.
Bipolar EEG records of olfactory activity of Caiman sclerops were computer analyzed and the derived power spectral density functions (PSD) were statistically compared by the method of Bendat and Piersol (1971) and Fails and Verlander (1977). These recordings included surface and underwater episodes. The Caiman olfactory EEG may legitimately be divided into four types of activity: a spindle form of high amplitude and long duration (1-3 sec), a spindle of lower amplitude, short duration (less than 1 sec) and significantly lower power generation irregular surface background activity, and an irregular underwater activity. PSD analysis showed a great deal of moment-to-moment variability in both quantity of power generated and the frequency regions containing significant power generation during surface background activity. A statistical comparison of surface background and underwater background activity also showed significant differences.
A general computer program, of interest to neurobiologists, for comparison of uncorrelated power spectra is presented. The program, ALPHAF, is written in Fortran V language and is easily compiled and executed in any computer with a Fortran software package. The purpose of the program is to read power spectral density (PSD) values into a computer from digital tape and then perform the following functions: (1) compute and report power; (2) compute and report averages of the computed power values over selected frequency bands and (3) compute and report statistical standardised normal distributions for a frequency spectrum of interest. The standardised normal distribution statistic is derived by using equation 7.20, page 250 of Random data: Analysis and measurement procedures (Bendat and Piersol, 1971).