Abstract: A method of recording neural responses reduces the inaccuracy of the recordings caused by nerve adaptation to repeated exposure of stimuli. In one embodiment, a maximum set of X number of successive stimuli are delivered through an electrode and the resulting neural response recorded and, afterwards, the next stimulation must occur through another electrode. This stimulation sequence prevents the same set of nerves from being stimulated too often, which can result in stimulus adaptation and cause measurement inaccuracy. In one embodiment of the invention, a smart software can be employed to provide visual plots of “growth curves”, including real-time calculated datapoints and their confidence intervals, and automatically terminate the recording session upon reaching a pre-set trigger. Alternatively, a human operator can terminate a recording session, based on visual feedback of growth curves, including their real-time calculated datapoints and confidence intervals.

Abstract: A method of recording neural responses reduces the inaccuracy of the recordings caused by nerve adaptation to repeated exposure of stimuli. In one embodiment, a maximum set of X number of successive stimuli are delivered through an electrode and the resulting neural response recorded and, afterwards, the next stimulation must occur through another electrode. This stimulation sequence prevents the same set of nerves from being stimulated too often, which can result in stimulus adaptation and cause measurement inaccuracy. In one embodiment of the invention, a smart software can be employed to provide visual plots of “growth curves”, including real-time calculated datapoints and their confidence intervals, and automatically terminate the recording session upon reaching a pre-set trigger. Alternatively, a human operator can terminate a recording session, based on visual feedback of growth curves, including their real-time calculated datapoints and confidence intervals.

Abstract: In monitoring systems for acquiring data about a subject, such as are used, for example, in the medical, scientific and engineering fields, determination of temporal relationships between data acquired from multiple monitoring devices is facilitated by means of an interface unit which interconnects the monitoring devices with tape recorders for storing the data and a computer for processing the data. The interface unit generates various timing and control signals including a time code signal. The interface unit supplies the time code signal to the recording devices for recording simultaneously with the data. The time code signal may be a linear time code (LTC) derived from a video sync signal generated by the interface unit for synchronizing a camera. A sampling clock signal for controlling digitizing of the analog data acquired by the system is derived from the time code signal.