A metal band that wraps around the edges of the device is supposed to pull in a stronger signal; software is supposed to choose the section of the signal with the least congestion.
This method is an effective starting point for selecting electrodes and designing transient signal software in a potentiometric clinical analyzer.
Some current applications of Ptolemy include networking and transport, call-processing and signaling software, embedded microcontrollers, signal processing (including implementation in real-time real-time), scheduling of parallel digital signal processors, board-level hardware timing simulation, and combinations of these.
Of note, we also used the same Signal software configuration file which was kindly provided by A. Quartarone when setting up the protocol.
Stimulation and data acquisition were controlled using Signal software (version 3; CED).
Data were processed using Signal software (Cambridge Electronic Design, Cambridge, UK).
Data acquisition and processing was performed using Signal software 4.05 (Cambridge Electronic Design, Cambridge, UK).
Analyses of the acoustical parameters of the vocalizations were performed with signal software versions 4.0 and 4.1.
EMG signals were sampled together with data from the dynamometer using Power and Signal Software (Isolation Unit, ME4ISO, Mega Electronics Ltd., Kuopio, Finland).
Recordings of voltage were low-pass filtered at 10 kHz (4 pole Bessel filter on the amplifier), acquired at 62.5 kHz with a Cambridge Electronic Design (CED) power 1401 A/D interface and Signal software (CED, Cambridge, UK), and analyzed with Signal software and Origin software (Microcal, Northampton, MA).
