We describe a modification to our technique for the rapid analysis of low-f
requency cochlear microphonic (CM) waveforms in the basal turn of the guine
a pig cochlea (Patuzzi and Moleirinho, 1998). The transfer curve relating i
nstantaneous sound pressure in the ear canal to instantaneous receptor curr
ent through the outer hair cells (OHCs) is determined from the distorted mi
crophonic waveform generated in the extracellular fluid near the hair cells
, assuming a first-order Boltzmann activation curve. Previously, the analys
is was done in real time using custom-built electronic circuitry. Here, the
same task is performed numerically using virtual instrument software (Nati
onal Instruments LabVIEW 4.1) running on a personal computer. The assumed t
heoretical function describing the CM waveform is V-cm = V-off + V-sat/{1 exp[(E-o+Z.P-o.sin(2 pi(f)+(tot))}/kT]}, where the six parameters are (i) a
DC offset voltage (V-off); (ii) the frequency of the sinusoidal stimulus (
f); (iii) the phase of the sinusoidal stimulus (Z); (iv) the maximal amplit
ude of the distorted microphonic signal (V-sat); (v) the sensitivity of the
transduction process (Z); and (vi) the operating point on the sigmoidal tr
ansfer curve (E-o). The software obtains the least-squares fit to the CM wa
veforms by continuously deriving the six parameters at a speed of about one
determination per second. The independent fitting of the frequency and pha
se allows the data to be analysed off-line from data previously recorded to
tape (i.e. the frequency and phase of the microphonic response need not be
known accurately beforehand). We present here an outline of the software w
e have used, and give an example of the changes which can be monitored usin
g the technique (transient asphyxia). The method's advantages and limitatio
ns have been discussed in our previous paper. The virtual instrument descri
bed here is available from the authors on request. (C) 1999 Elsevier Scienc
e B.V. All rights reserved.