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Animal bioamp fe136

Manufactured by ADInstruments
Sourced in Australia

The Animal BioAmp FE136 is a versatile bioelectric signal amplifier designed for animal research applications. It features low-noise, high-gain amplification capabilities to capture a wide range of biopotential signals, including ECG, EMG, and EEG. The device offers configurable filter settings and input channels to accommodate various experimental setups.

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2 protocols using animal bioamp fe136

1

Electrocardiogram and Heart Rate Variability Analysis in Rats

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Two to three days after the end of the physical training protocol, rats were anesthetized with a mixture of ketamine and xylazine (50 and 10 mg/kg, ip) and implanted with subcutaneous electrodes for ECG recordings. Two days after surgery, with the animals conscious and under free movement conditions, the electrodes were connected to a bioelectric amplifier (Animal BioAmp FE136, ADInstruments, Bella Vista, Australia), and ECG recordings were acquired (2 kHz) by an IBM/PC coupled to an analog-to-digital interface (ML866 PowerLab 4/30, ADInstruments, Bella Vista, Australia).
ECG was recorded during one hour, so that multiscale measurements could be confidently estimated from HRV series. ECG recordings were processed using computer software (LabChart Pro, ADInstruments, Bella Vista, Australia) that creates HRV series as the sequence of R-R intervals, i.e., the time interval between adjacent R waves. All ECG recordings were carefully inspected, and missing beat detections and artifacts were manually corrected. HRV series are 20,000 beats in length, on average.
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2

Quantifying Sympathetic Nerve Activity

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The signal from the sympathetic nerve was filtered (100 -1,000 Hz), amplified (Animal Bio Amp FE136, AD Instruments), and digitized at 2 kHz with a PowerLab data recorder and LabChart software. We only considered sympathetic nerve activity recordings with a signal-to-background noise ratio higher than 2:1, suggesting viable nerves (18, (link)40) (link). A high-resolution typical example is shown in the supplemental data.
To quantify raw sympathetic nerve activity, the signal was rectified and integrated with a time constant of 20 msec. The background noise was then subtracted from the rectified and integrated signal, and the baseline value for each animal was set at 100% (18, (link)40) (link). To quantify the spike rate at rest, we used the average number of spikes per second from a 60-s segment of the raw signal and counted the number of spikes above the level of the background noise with the spike histogram module from LabChart (version 8.0.2) (25, (link)47) (link). To examine cardiac coupling of sympathetic activity at rest, we used a power spectrum analysis (3, (link)27) (link).
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