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Programmable Gain Main Amplifiers (PGMA)
8 / 16 Channels
Programmable Gain Main Amplifiers (PGMA)
8 / 16 Channels
The TREC Programmable gain main amplifier (PGMA-02) is a multichannel, differential input main filter/amplifier for neurophysiological applications (e.g. extracellular recording with multiple microelectrodes). This PGMA-02 combines a fixed band pass filter and the variable signal amplification in one instrument.
Key features:
- 16 amplifier channels (with several PGMA-02 up to 128 channels possible)
- Low-noise amplifier technique
- Differential input amplifier
- Computer controlled gain settings via LAN port (TCP/IP protocol)
- Individual gain settings vom x5 up to x5000 (in 10 steps)
- Bandwidth 0.1Hz … 10kHz (other cut-off frequencies on request)
- AC coupled input circuit
- Low noise technique
- PGA control software
| Dimensions and Weight | |
| Length (mm): | 485mm |
| Width (mm): | 250mm |
| Height (mm): | 45mm |
| Weight (kg): | 2kg |
| Power Supply | |
| Main Supply voltage (V): | 90-264V AC /47-63Hz (external power supply) |
| Power Consumption (W): | 6W |
| Enviromental condition | |
| Operating temperature range: | +10°C to +40°C |
| Transport temperature range: | +10°C to +40°C |
| Humidity: | 20% – 80% RH (non-condensing) |
| Input data | |
| Max. input voltage: | ±2V |
| Number of channels: | 8 or 16 |
| Input connector type: | D-SUB 25pin |
| Input noise voltage (VI, RMS): | 2.0-2.4µV |
| Input noise voltage density (VI, RMS): | 24nV/?Hz |
| Single Unit Acitivity (SUA) Filter/Amplifier | |
| Gain: | 5, 10, 25, 50, 100, 250, 500, 1000, 2500, 5000 |
| Input impedance: | 2M?//30pF |
| Low Pass cut-off [kHz]: | 10 fixed (other values on request) |
| High Pass cut off [Hz]: | 500 fixed (other values on request) |
| Filter Characeristic: | Butterworth |
| Local Field Potential (LFP) Filter/Amplifier | |
| Gain: | 5, 10, 25, 50, 100, 250, 500, 1000, 2500, 5000 |
| Input impedance: | 1M?//30pF |
| Low Pass cut-off [Hz]: | 140 fixed (other values on request) |
| High Pass cut off [Hz]: | 0.1 |
| Filter Characeristic: | Butterworth |
| Broadband Filter/Amplifier | |
| Gain: | 5, 10, 25, 50, 100, 250, 500, 1000, 2500, 5000 |
| Input impedance: | 1M?//30pF |
| Low Pass cut-off [kHz]: | 10 fixed (other values on request) |
| High Pass cut off [Hz]: | 0.01 |
| Filter Characeristic: | Butterworth |
| Output data | |
| Max. Output voltage swing: | ±10V |
| Number of output channels: | 8 or 16 |
| Output impedance: | 200? |
| Output connector type: | D-SUB 25pin |
Features
The PGMA-02 has multiple amplifier channels with ac-coupled differential input stages on each channel. Each of the amplifier channels has a band pass filter characteristic. The cut-off frequencies of this band pass filters can be adapted to the requirements of our customers. (e. g. 0.06Hz – 15kHz). Each channel has a variable gain. The gain can be selected via software interface on a personal computer. The connection between personal computer and PGMA-02 is made via LAN interface (TCP/IP protocol). The gain factor is displayed on the PC monitor.
It is possible to adjust gain values of 5, 10, 25, 50, 100, 250, 500, 1000, 2500, 5000 (±1.5%).
The PGMA-02 is a very low noise main amplifier system which is available in an 8-, 16-, 32- and 64 channel version (other numbers of amplifier channels are available on request) .
Figure 1: Graphical user interface of the TREC programmable gain main amplifier PGMA-02
Figure 2: Connection scheme of the 16 channel PGMA-02. Preamplifiers and USB-Data Acquisition Systems are available from TREC. The PGMA-02 can also be used with other preamplifiers or data acquisitions systems
The 16 channel version of the programmable gain main amplifier PGMA-02 has 16 independent, differential input, low noise programmable gain amplifier channels. The connection diagram of an 16 channel PGMA-02 is shown in figure 2.
Downloads
Publications
[1] Aggelopolous N. C., Deike S., Selezneva E., Scheich H., Brechmann A., Brosch M. Predictive cues for auditory stream formation in humans and monkeys. European Journal of Neuroscience, December 2017, DOI: 10.111/ejn.13808
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