Acqknowledge

Manufactured by Biopac

Sourced in United States

AcqKnowledge is a comprehensive data acquisition and analysis software from BIOPAC. It is designed to record, analyze, and visualize physiological data from a variety of BIOPAC hardware modules.

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Lab products found in correlation

62 protocols using acqknowledge

Physiological Monitoring during Heat Exposure

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All participants were fitted with electrocardiography (ECG) sensors using a lead I configuration, where the positive electrode is placed on the left upper chest under the clavicle and the negative electrode is placed on the right upper chest directly under the clavicle ^{70 (link)}. Respiration was measured with a respiratory transducer belt that was placed around the participant’s chest close to the diaphragm (Biopac MP100, AcqKnowledge; Biopac Systems, Goleta, CA). Subjects were fitted with these instruments before heat testing. All physiological activity was recorded at a rate of 1 kHz with an integrated software system (Biopac MP100, AcqKnowledge; Biopac Systems, Goleta, CA).

Adler-Neal A.L., Waugh C.E., Garland E.L., Shaltout H.A., Diz D.I, & Zeidan F. (2019). The role of heart rate variability in mindfulness-based pain relief. The journal of pain : official journal of the American Pain Society, 21(3-4), 306-323.

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Cardiovascular Responses to Passive Limb Movement

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Throughout each protocol ECG, SV, CO, MAP, and knee joint angle signals underwent analog-to-digital conversion and were simultaneously acquired (200 Hz) using commercially available data acquisition software (AcqKnowledge, Biopac Systems Inc., Goleta, CA, USA). CFA diameter and V_mean were acquired on the ultrasound system (GE Logic 7). Baseline was analyzed using the average of the 60 s prior to the initiation of PLM. All variables were analyzed second-by-second for the 60 s of passive movement, and data were smoothed using a 3 s rolling average prior to final data analysis. Multiple 2×4 repeated measures ANOVA were used to determine significant differences in baseline and the absolute change from baseline to peak for HR, SV, CO, MAP, LBF, LVC, and LVC slope, and Tukey’s HSD was used for post hoc analysis. A one-way ANOVA (1×4) was used to determine group differences in vasodilatory and rapid vasodilatory reserve capacity. Student’s t-tests were used for subject characteristics and significance was set at an α-level of 0.05. Data are presented as mean ± SEM.

Groot H.J., Rossman M.J., Garten R.S., Wang E., Hoff J., Helgerud J, & Richardson R.S. (2016). The Effect of Physical Activity on Passive Leg Movement-Induced Vasodilation with Age. Medicine and science in sports and exercise, 48(8), 1548-1557.

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Psychophysiological Measures of Touch Response

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All psychophysiological measures were collected using a Biopac MP150 system, sampled at 2000Hz, and recorded using AcqKnowledge (Version 4.2, Biopac Systems Inc., CA, USA). The data were time-locked to the onset of touch via parallel port signals sent from the experimenter’s computer to the physiological recording equipment. Offline filtering and heart beat detection were also conducted in AcqKnowledge before the data were exported into SPSS (Version 23, IBM Corp, USA, NY).

Pawling R., Cannon P.R., McGlone F.P, & Walker S.C. (2017). C-tactile afferent stimulating touch carries a positive affective value. PLoS ONE, 12(3), e0173457.

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Graded LBNP Tolerance in Healthy Men

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Eleven healthy, normotensive male participants (average age 21 ± 1 years) agreed to partake in a graded LBNP protocol that had the following progression of pressures: 0, −10, −20, −30, −40, −50, and −60 mmHg. Each level was sustained for 5 min. If a participant exhibited a sudden decrease in heart rate or blood pressure, or if they expressed a desire to stop, the negative pressure was immediately terminated.
Participants that did not experience presyncope were classified as finishers (n = 6). Those that displayed presyncope before completing the 5‐min −60 mmHg level were classified as nonfinishers. For nonfinishers, symptoms of presyncope occurred either during the −50 mmHg level (n = 4) or at the onset of the −60 mmHg level (n = 1).
Continuous measurements of ECG, MSNA, and blood pressure were recorded simultaneously on a personal computer with analog‐to‐digital conversion (Acqknowledge, Biopac Systems, Goleta, CA) for subsequent analyses.

Laurin A., Lloyd M.G., Hachiya T., Saito M., Claydon V.E, & Blaber A. (2017). New indices from microneurography to investigate the arterial baroreflex. Physiological Reports, 5(12), e13220.

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Measurement and Analysis of Respiratory Sinus Arrhythmia

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Electrocardiogram data were collected using a Biopac (Goleta, CA) MP150 amplifier. Interbeat intervals were extracted from the electrocardiogram waveform in the Biopac AcqKnowledge program. The waveform and interbeat interval sequence for each participant were aligned and visually inspected for movement artifacts in CardioEdit. Edits were minimal (no more than 1% of data per file), adhering with CardioEdit editing rules. Edited interbeat intervals were then submitted to the CardioBatch program, which calculated three RSA values for each participant (baseline, stress, and recovery) using the Porges-Bohrer Method for extracting the high frequency component of each interbeat interval sequence from the .12-.4 Hz spectral frequency band-pass for adults (34 (link)). From these three RSA scores, RSA change scores were calculated for each participant. RSA reactivity was calculated by subtracting baseline RSA from stress RSA, and RSA recovery was calculated by subtracting stress RSA from recovery RSA.

Volpe V.V., Lee D.B., Hoggard L.S, & Rahal D. (2018). Racial Discrimination and Acute Physiological Responses among Black Young Adults: The Role of Racial Identity. The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 64(2), 179-185.

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Cardiovascular Function Assessment

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At the end of the study, the animals were anesthetized by intraperitoneal injection of pentobarbital-sodium (60 mg/kg). A femoral artery was cannulated with a polyethylene tube. Thereafter, baseline values of SP, diastolic blood pressure (DP), mean arterial blood pressure (MAP), and heart rate (HR) were measured using the AcqKnowledge data acquisition and analysis software (Biopac Systems Inc., Santa Barbara, CA, USA). Hindlimb blood flow (HBF) was continuously measured by placing electromagnetic flow probes around the abdominal aorta connected to an electromagnetic flow meter (Carolina Medical Electronics, Carolina, NC, USA). Hindlimb vascular resistance (HVR) was calculated from baseline MAP and HBF (in 100 g tissue unit).

Maneesai P., Prasarttong P., Bunbupha S., Kukongviriyapan U., Kukongviriyapan V., Tangsucharit P., Prachaney P, & Pakdeechote P. (2016). Synergistic Antihypertensive Effect of Carthamus tinctorius L. Extract and Captopril in l-NAME-Induced Hypertensive Rats via Restoration of eNOS and AT1R Expression. Nutrients, 8(3), 122.

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MRI-Based Temperature and Respiration Monitoring

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The air temperature in the canopy and the respiration rate of each subject were recorded using MRI-compatible transducers (TSD-202E and TSD-201, respectively; BIOPAC Systems Inc.; Goleta, California, USA). The temperature transducer was attached to the scanner bed close to the MRI head coil and the respiration transducer was attached around the upper abdomen of each subject. The signals from the transducers were amplified by constant current amplifiers (BIOPAC MP 100 system, BIOPAC Systems Inc.), sent to a laptop computer via fiber optic channels, and sampled at 1 Hz for digital recording.
The data were assessed with software for data acquisition and analysis from the BIOPAC MP 100 system (Acqknowledge, BIOPAC Systems Inc.). After the fMRI measurements, the data were visually inspected to exclude apparent noise. Due to technical reasons, temperature and respiration data were obtained from 28 and 23 subjects, respectively.

Oi H., Hashimoto T., Nozawa T., Kanno A., Kawata N., Hirano K., Yamamoto Y., Sugiura M, & Kawashima R. (2017). Neural correlates of ambient thermal sensation: An fMRI study. Scientific Reports, 7, 11279.

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Passive Leg Movement Hemodynamics

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HR, SV, CO, and MAP were acquired at 200 Hz via a data acquisition system (AcqKnowledge, Biopac Systems, Goleta,CA). For each artery, diameter (D) during diastole was determined at a perpendicular angle along the central axis of the scanned area. BF was calculated using diameter and intensity-weighted mean blood velocity (V_mean)

{BF = V}_{mean} π {(\frac{D}{2})}^{2} ×60

VC was then calculated as

VC = \frac{BF}{MAP}

Baseline values for all variables were determined as the average over the 60 s period before the onset of the passive movement. For each passive movement, all variables were analyzed second-by-second and smoothed using a 3-s rolling average, in order to smooth large fluctuations in the data that result from asynchronous superimposition of the leg movement on top of the heart rate driven pulse-wave (Gifford & Richardson, 2017 (link)). BF_Δpeak and VC_Δpeak were calculated as the peak minus the baseline. BF_AUC and VC_AUC were calculated, after normalization for baseline (i.e. the increase in BF above baseline), as the summed response over 60 s.

Shields K.L., Broxterman R.M., Jarrett C.L., Bisconti A.V., Park S.H, & Richardson R.S. (2019). The Passive Leg Movement Technique for Assessing Vascular Function: Defining the Distribution of Blood Flow and the Impact of Occluding the Lower Leg. Experimental physiology, 104(10), 1575-1584.

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Cardiac Monitoring in Animal Model

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Heart rate, BP and ECG were simultaneously recorded with analysis software (AcqKnowledge, Biopac System, Goleta, USA). Ventricular ectopic activity was evaluated according to the diagnostic standards⁶^,⁷. The ECGs were analyzed to determine the incidence and duration of ventricular tachycardias (VTs) and ventricular fibrillations (VFs). VF duration was recorded up until the time when BP <15 mmHg in rats that died with irreversible VF.

Bin Z., Yanli Y., Zhen Q., Qingtao M, & Zhongyuan X. (2020). GDF11 ameliorated myocardial ischemia reperfusion injury by antioxidant stress and up-regulating autophagy in STZ-induced type 1 diabetic rats. Acta Cirúrgica Brasileira, 34(11), e201901106.

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Biosignal Recording Protocols: ECG and EOG

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The biosignals were recorded with a two-channel bio-amplifier (Model MP150, Biopac Inc., USA) which were connected with Ag-AgCl disposable electrodes. ECG was recorded using an ECG100C amplifier and three Ag-AgCl electrodes. Two electrodes were affixed on the right arm and the left leg, and ground electrode was placed on the right leg. ECG signals were amplified using the following hardware setting: Amplifier Gain: 2000; Mode: Normal; Notch: 50 Hz; and Band-pass: 0.5–100 Hz. EOG recordings were obtained using an EOG100C amplifier, by placement of two Ag-AgC1 electrodes 1.5 cm from the outer canthus of each eye. EOG signals were amplified using the following hardware setting: Amplifier Gain: 2000; Mode: Normal; Notch: 50 Hz; and Band-pass: 0.05–100 Hz. Analog data of both ECG and EOG were sampled at 1 kHz using an MP150 analog/digital converter and recorded online with AcqKnowledge (version 4.2.0, BIOPAC Systems, Inc., Goleta, CA, USA) software for Windows.

Ma G., Wang C., Jia Y., Wang J., Zhang B., Shen C., Fan H., Pan B, & Wang W. (2018). Electrocardiographic and Electrooculographic Responses to External Emotions and Their Transitions in Bipolar I and II Disorders. International Journal of Environmental Research and Public Health, 15(5), 884.

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