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Labchart software

Manufactured by ADInstruments
Sourced in Australia, United States, New Zealand, United Kingdom, Germany, Colombia, Japan

LabChart is a data acquisition and analysis software developed by ADInstruments. It allows users to record, display, and analyze physiological data from various instruments and sensors. The software provides a user-friendly interface for real-time data monitoring, signal processing, and visualization.

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303 protocols using labchart software

1

ECG Monitoring for Cardiovascular Health Assessment

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Electrocardiogram (ECG): Prior to the health measurements and the patient-care simulation, a 3-lead electrocardiogram (ECG) was placed on the participants. The electrode placement used LEAD II con guration according to Einthoven's triangle [38] . The heart signals were recorded using the Bio Amp unit (FE132) and an eight channel PowerLab unit (PL3508) (AdInstruments, USA) and LabChart software (version 7, AdInstruments, USA). The ECG signal data collected were conditioned (i.e. 1 to 45 Hz band pass lter and normalized) using LabChart software (i.e. LabChart software version 7, AdInstruments, USA) before calculation. The ECG signal was collected to obtain heart electrical activity during the YMCA step test (cardiovascular tness level), the baseline period and patient-care simulation. The baseline values were used to assess the cardiovascular health of the participant (i.e. if they represent an elevated risk to develop CVD) as well as to measure the tonic vagal activity, and also measure the phasic vagal activity during the patient-care simulation in order to document the reactivity (vagal tone difference between patient-care simulation and baseline period).
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2

Arterial Pressure and Respiratory Monitoring

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In order to record the arterial pressure, the arterial catheter was connected to a pressure transducer which is coupled to an amplifier (Bridge Amp FE221; ADInstruments, Colorado Springs, CO, USA). The pulsatile pressure was recorded continuously with a data acquisition system (PowerLab; ADInstruments, Colorado Springs, CO, USA). The MAP was calculated from the pulsatile signal using the LabChart software (v.7.3.7, ADInstruments, Colorado Springs, CO, USA). Analogical signals of the electrocardiogram (ECG), obtained through electrodes positioned in the forelimbs, were amplified 1000 times and filtered between 100 and 1000 Hz (Bridge Amp; ADInstruments, Colorado Springs, CO, USA). The heart rate (HR) was calculated as instantaneous frequency of the ECG signal (LabChart v.7.3.7, ADInstruments, Colorado Springs, CO, USA). The DIA motor activity signals was amplified 10,000 times (Bridge Amp; ADInstruments, Colorado Springs, CO, USA) and band-pass filtered (100–2000 Hz). The signal were rectified and integrated in 50 ms intervals using LabChart software (v.7.3.7; ADInstruments, Colorado Springs, CO, USA). The DIA motor activity was evaluated by burst amplitude (expressed as percentage difference from baseline) and frequency (considered as respiratory frequency, fR, and expressed in cycles per minute, cpm).
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3

Vascular Function Analysis Protocol

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Vascular function was analysed as previously reported(34 ) using a Panlab compact organ bath and a PowerLab® 8/30 data acquisition system coupled to appropriate transducers and controlled by LabChartTM software (ADInstruments). Endothelium-intact aortic rings were contracted with 10−9–3 × 10−5 mol/l phenylephrine and relaxed with 10−9–3 × 10−5 mol/l acetylcholine (ACh) or 10−10–3 × 10−6 mol/l sodium nitroprusside.
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4

Vascular Reactivity Assessment Protocols

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Vascular function was carried out as previously reported [23 (link)] using a Panlab organ bath (Harvard Apparatus) and a PowerLab® 8/30 data acquisition system (ADInstruments) coupled to appropriate transducers and controlled by the LabChartTM software (ADInstruments). Endothelium-intact aortic rings were contracted with 10−9–3×10−5 mol/L phenylephrine (Phe) and relaxed with 10−9–3×10−5 mol/L acetylcholine (ACh) or 10−10–3×10−6 mol/L sodium nitroprusside (SNP). Selective NOX1 inhibitor ML171 (2-acetylphenothiazine) and eNOS inhibitor (L-NAME) were preincubated at 10−4 mol/L.
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5

Porcine Ureter Contractility Assay

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Fresh bladders with ureters attached were obtained from a local abattoir and immediately immersed in ice-cold Krebs-bicarbonate solution (4°C) composed of NaCl (188.4mM), NaHCO3 (24.9mM), glucose (11.7mM) ,CaCl2 (1.9mM),MgSO4 (1.2mM) and KH2PO4 (1.2mM). Tissues were obtained from 4 month old (young) and 3 year old (old) female pigs. The ureters were detached from the bladders and periureteric fat was removed. The distal ureter was determined as the region 5cm from the entrance to the bladder. The tissues were dissected into 4mm long tissue strip sections. The tissue strips were mounted longitudinally under 1g tension in 8ml organ baths (EZ-baths, Global Towns, CA) containing Krebs-bicarbonate solution, which was maintained at 37ºC and continuously gassed with 95% O2 and 5% CO2.
Isometric tension developed by the tissues was recorded to PC via a Powerlab recording system and Labchart software (ADInstruments, Castle Hill, Australia).
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6

Measuring Right Ventricular Systolic Pressure

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The rats were anesthetized with 2% sodium pentobarbital (45 mg/kg, i.p.). A catheter filled with heparinized saline was inserted into the right ventricle (RV) via the jugular vein to measure right ventricular systolic pressure (RVSP). The RVSP was then recorded by a PowerLab data acquisition system (AD Instruments, Sydney, Australia) and digitized by LabChart software (AD Instruments). The average RV pressure was measured during systole to determine the individual RVSP.
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7

Cardiac Hemodynamic Measurements Protocol

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During the harvesting procedure, a pressure-volume catheter (Transonic, Ithaca, NY, USA) was inserted directly into the left ventricular apex for cardiac hemodynamic measurements. Load-dependent data were collected during breath holds to minimize respiratory variation effects. Load-independent data were collected during breath holds by occluding the inferior vena cava with a vessel loop. Hemodynamic recordings were analyzed with LabChart software (ADInstruments, Colorado Springs, CO, USA).
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8

Characterizing Thermosensitive C-Fibers

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Thermosensitive C-fibers were searched for in recordings and for further analysis. Spike sorting was performed with a spike analysis plug-in of the LabChart software (AD Instruments). C-mechanoheat (C-MH), C-mechanoheatcold (C-MHC), and C-mechanocold (C-MC) fibers were pooled in each experimental group (Milenkovic et al., 2014 (link)). Thermal thresholds represent the temperature required to cause the first action potential spike in slow (15 s) heat and cold ramp protocols. Mechanical thresholds represent the average force required to cause the first action potential spike over the four ramp and hold stimuli. Mean group data were compared using t-tests and two-way repeated measures ANOVA tests.
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9

Invasive Blood Pressure Measurement

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Systemic blood pressure was measured invasively under isoflurane analgesia, followed by organ harvest. A 1.4F microtip catheter (Millar Instruments, USA) inserted into the right carotid artery/ aortic arch where the systemic blood pressure was measured. Blood pressure curves were recorded and analyzed using a PowerLab recording unit and LabChart software (AD Instruments, Colorado Springs, USA).
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10

Neonatal Nonsucking Burst Analysis

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NNS was assessed using our lab’s custom device which includes a Soothie pacifier (Philips Avent) attached to a handle, connected to a pressure transducer that transmits information to a data acquisition system (Power Lab, ADInstruments) connected to a laptop with LabChart software (ADInstruments). Calibration was completed before every session. Infants were offered the pacifier for approximately five minutes. After the visit concluded, all data were analyzed using LabChart software. Trained researchers manually selected NNS bursts using the following criteria: bursts must contain two or more suck cycles, each suck cycle’s amplitude must be over 1 cmH20, and a cycle is considered a new burst if there is a break of 1,000 milliseconds or more between cycles. These criteria are the same as previous studies examining NNS in young infants (Barlow et al., 2012 (link); Estep et al., 2008 (link); Poore et al., 2008 (link)). Once NNS bursts were manually selected for each suck sample, they were entered into a custom NNS Burst Macro, which allows for processing of burst variables: duration, amplitude, cycles/burst, frequency, cycles, and bursts. Next, the best two minutes of NNS data were selected based on cycle number, and minute rate averages were attained from the two-minute sample.
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