The largest database of trusted experimental protocols

Labview 2010

Manufactured by National Instruments
Sourced in United States

LabVIEW 2010 is a graphical programming environment for scientific and engineering applications. It provides tools for data acquisition, instrument control, and data analysis.

Automatically generated - may contain errors

16 protocols using labview 2010

1

Bed-Based Trunk Functional Assessment

Check if the same lab product or an alternative is used in the 5 most similar protocols
The bed mobility monitor system was employed, which was designed to allow the subject to perform the trunk functional performance on bed [10 (link)] (Figure 1). In brief, four strain gauges (LFS1CC 150 kg, Delta Transducers Co.) were mounted under the feet of bed and were used to evaluate the center of mass and center of pressure during task executing. All sensors were connected to a laptop computer via a 12-bit analog-to-digital converter to the LabVIEW 2010 (National Instruments Corporation, Austin, TX, USA) data acquisition system. Data was managed and analyzed through data interception using a software program written using LabVIEW, 2010 (National Instruments Corporation, Austin, TX, USA) to identify or distinguish the trunk performances, such as rolling and sitting up or off the bed. The sampling frequency was set at 10 Hz.
+ Open protocol
+ Expand
2

Kinetic Analysis of Lower Limb Biomechanics

Check if the same lab product or an alternative is used in the 5 most similar protocols
The GRFs of up to four force plates (9286AA and 9287BA, Kistler Instruments AG, Winterthur, Switzerland) were sampled at 1000 Hz with a customized software (Lab-VIEW 2010, National Instruments, Austin, TX, USA). For all tests, the vertical GRF (vGRF) and the horizontal anterior-posterior GRF (hGRF) of the operated and the nonoperated leg were analysed. The peak values of the vGRFs and/or the hGRFs were calculated for the sit-to-stand and stand-to-sit test, step-up and step-down test (forward and rear leg), as well as for the two-leg and the one-leg jump (jumping and landing). The impulses of the vGRFs were intended for sit-to-stand and stand-to-sit test, step-up and step-down test (forward and rear leg), as well as for the two-leg jump (jumping and landing) as the area under the vGRF-time curve (trapezoidal rule). Only in the two-leg jump (jumping and landing), the vGRFs of both legs were subtracted with half of the body weight before calculation of the impulse to assess the acceleration and deceleration as described elsewhere [5] . All kinetic parameters were normalized to the body weight, and the mean of all trials of each test was used for statistical analysis.
+ Open protocol
+ Expand
3

Measuring Environmental Factors in Bee Behavior

Check if the same lab product or an alternative is used in the 5 most similar protocols
To verify that the stimulus environment was comparable across contexts, we measured air temperature in the test arenas, task availability and brood dummy temperature in a control experiment, repeating procedures from the non-social context for 10 bees and from the random social context for 10 groups, using bees from two separate colonies. Five bees and five groups of 10 bees were tested from each colony. Air temperature (ALMEMO 2290–8 data logger) and the number of available brood dummies was recorded per minute. Brood dummies temperature was logged at 1 Hz using temperature sensors (Omega thermocouples) running along the longitudinal axis of the dummies, ending at the tip directly under the wax layer and connected to a data logging device and custom programs (NI cRIO-9074 and NI 9213, LabVIEW 2010 Version 10.0.1, National Instruments, Germany). For statistical analysis, fanning threshold temperature was assigned to the mean wax temperature during the one-minute bin in which long fanning was first observed, as extracted from this data set.
+ Open protocol
+ Expand
4

Split-Belt Treadmill Perturbation Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols
Participants walked and were perturbed on a split-belt treadmill (Figure 1; Bertec, Columbus, OH, USA). The treadmill speed was set to 1.2 m/s throughout the experiment, except during perturbations. We tested acceleration and deceleration perturbations that were induced by accelerating or decelerating the right belt by 0.5 m/s for 400 ms, which occurred immediately after right foot contact. The rate of change in belt speed was set to 20 m/s2 for both acceleration and deceleration perturbations. The resultant time interval between right foot contact and the perturbation was 73 ± 3 ms for the acceleration perturbation and 65 ± 5 ms for the deceleration perturbation. The difference in perturbation timing might be due to the mechanical property of the apparatus. The magnitude, timing, and duration of the perturbation were determined through preliminary tests that were large enough to evoke reflexive muscle responses, but small enough not to induce any dangerous injuries and falls. The timing of the perturbations was controlled online using custom-written software in LabVIEW 2010 (National instruments Inc., Austin, TX, USA). The perturbation was induced if the ground reaction force had exceeded 50 N for 10 ms.
+ Open protocol
+ Expand
5

Hemodynamic Monitoring During Cardiac Resuscitation

Check if the same lab product or an alternative is used in the 5 most similar protocols
Hemodynamic data were measured by the indwelling catheters and recorded continuously (LabVIEW 2010, National Instruments, Austin, TX, USA). Coronary perfusion pressure (CPP) was estimated by subtracting the diastolic right atrial pressure from the diastolic femoral arterial pressure [18 (link)]. During resuscitation, we used the mean right atrial pressure and the mean femoral pressure due to the missing pulsatility in the blood pressure signal of the non-contracting ventricle. The measured cerebral oximetry values were normalized to the baseline (BL) values. Blood samples were collected at baseline, after 10 and 30 min and every full hour following ROSC (PR 10, PR 30 and PR60-PR360). Blood gas analysis was performed for arterial and mixed venous samples using a standard blood gas analyzer (ABL 700; Radiometer, Copenhagen, Denmark). Blood cell counting was carried out using an automated blood cell machine at baseline and 6 h following ROSC (Celltac-alpha VET MEK-6550K; Nihon Koden, Rosbach, Germany).
+ Open protocol
+ Expand
6

Continuous Bioreactor Process Regulation

Check if the same lab product or an alternative is used in the 5 most similar protocols
Continuous evolution experiments were performed with the same bioreactor setup as described in Section “Bioreactor Batch Cultivations.” During the continuous process mode, feed medium was constantly added from a reservoir with a peristaltic pump (Watson Marlow 120 U/DV 200 RPM, Falmouth, UK) and simultaneously, the same volume of the fermentation broth was harvested with a second pump. An accurate feed rate was automatically ensured by a controller (Figure 1) that continuously monitored the weight of the harvested material (laboratory scale Combics 3, Sartorius, Göttingen, Germany). It converted the measured mass flow into volume flow (density of the biosuspension: 1.01 kg L−1) and adjusted the influx by regulating the pumping speed when the deviation from the desired flux got larger than 2%. The reaction volume of 1.2 L was kept constant by monitoring the weight of the total reactor using a laboratory scale (Combics 3, Sartorius, Göttingen, Germany) and by automatically adjusting the speed of the harvest pump with a second controller which allowed deviation from the setpoint weight of 0.2%. This setup enabled setting dilution rates with a precision of 0.01 h−1. The regulation scheme was implemented in a custom process control system using the software LabVIEW (LabVIEW® 2010, National Instruments, Austin, TX, USA).
+ Open protocol
+ Expand
7

Quantifying Biomolecular Binding Kinetics

Check if the same lab product or an alternative is used in the 5 most similar protocols
Each melting curve was baseline corrected and normalized to depict the fraction of bound strands on the y axis. The association constant, Ka, was quantified from the Arrhenius plot following the description in the literature,34 (link) using an in-house written LabVIEW routine (LabVIEW 2010, National Instruments). The dissociation rate, koff, was then quantified from Ka = kon/koff, where the association rate, kon (0.4 μM–1 s–1), was taken from the literature.26 (link),27 (link)
+ Open protocol
+ Expand
8

Continuous Monitoring of Cardiovascular Dynamics

Check if the same lab product or an alternative is used in the 5 most similar protocols
EtCO2 was measured by using an analogue side-stream capnograph (Medlab CAP 10; Medlab GmbH, Stutensee, Germany) with infrared absorption technology and sampled at 400 Hz in SignalExpress 14.0.0 (National Instruments, Austin, Texas) after conversion in an analogue-to-digital converter (NIDAQPad-6015, National Instruments). Flow was measured continuously by Dräger Infinity ID with hot-wire anemometer technology. Haemodynamic data, including blood pressure obtained via a 20G catheter in the left radial artery, were downloaded from GE Solar 8000i (GE Healthcare, Chicago, Illinois, US) and analysed in a custom-made program (LabView 2010, National Instruments). CO was measured with oesophageal Doppler (DP-12 probe; Cardio Q; Deltex Medical, Chichester, UK), which continuously measures flow velocity in the descending aorta and thus rapid changes in stroke volume (SV) [21 (link)]. The Doppler probe was thoroughly fixed in the position that gave the best signal and maximum peak velocity of the aortic flow, and the signal was closely observed throughout experiments. SV measurements were downloaded beat-by-beat by the serial output.
+ Open protocol
+ Expand
9

Real-Time Temperature Monitoring in tDCS-MRI

Check if the same lab product or an alternative is used in the 5 most similar protocols
To ensure the safety of the participants during tDCS in the MRI, temperature was monitored on all subjects throughout the duration of the scan (approximately an hour and 15 minutes). Specifically, four T1C 1.7 mm diameter fibre optic temperature sensors (Neoptix, Quebec, Canada) were located under both electrode pads and the nearest cable chokes. Temperature was monitored in real time with a calibrated Reflex signal conditioner (Neoptix, Quebec, Canada) and a custom data collection program written in LabVIEW 2010 (National Instruments).
+ Open protocol
+ Expand
10

Treadmill-based Ground Reaction Force Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
The ground reaction forces (GRF) were measured by means of four force transducers (Arsalis, Belgium) located under each corner of a modified commercial treadmill (h/p/Cosmos-Stellar, Germany, belt surface: 1.60x0.65 m). The forces were filtered with an 8th order Bessel dual low pass filter with a cut-off frequency of 20 Hz. The non-linearity was <1% of full scale, and the crosstalk between vertical and horizontal GRF <1%.
The GRF signal was digitized with a 16-bit A/D convertor at a sampling rate of 500 Hz. The amplified GRF signals were processed by means of a computer with dedicated software (LABVIEW 2010, National Instruments, Austin, TX, USA). The decomposition algorithm proposed by Meurisse et al. [26 (link)] was used to determine the beginning and the end of the DC phase, the front FC time and the back foot TO time, and the vertical component of the GRF acting upon each limb during the double contact phase.
The GRFs were used to compute the velocity and the displacement of the CoM [27 (link)]. Data were normalized relative to the stride duration, 0% corresponding to the initial contact of the right foot and 100% corresponding to the next contact of the same foot.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!