Mp150 hardware

Manufactured by Biopac

Sourced in United States

The MP150 is a versatile data acquisition hardware system designed for scientific research and physiological measurements. It provides high-quality signal acquisition and processing capabilities for a wide range of applications.

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Lab products found in correlation

Ecg amplifier, by Biopac (2 mentions) Acqknowledge 3, by Biopac (1 mentions) Acqknowledge 4, by Biopac (1 mentions) Acknowledge software, by Biopac (1 mentions)

4 protocols using mp150 hardware

Sympathetic Activity Assessment Protocol

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Sympathetic activity was calculated from heart rate (HR) and HRV that was acquired using Zephyr physiology monitoring system with MP150 hardware (BIOPAC Systems, CA, USA) and AcqKnowledge 3.9 software. Short-term HRV was acquired in compliance to the guidance of Task Force on HRV using previously standardized protocol.³⁰ Briefly, the volunteers were habituated to test environment in a relaxed sitting position for 30 minutes to minimize inter-variability among the subjects due to tobacco intake prior to data acquisition. Data was acquired for beat-to-beat intervals, HR and breathing rate in block durations of 1 minute at a sampling rate of 25 Hz in sitting position while maintaining a breathing rate of 15–20 breaths per minute for 3 minutes. Subsequently, HR and HRV was acquired for 5 minutes under normal breathing for analysis purposes. A consistent 5-minute RR interval series was selected after removal of artefacts and ectopic from the recorded tachogram, for analysis of HRV parameters. Nonparametric Fast Fourier Transform method was used to determine powers of low-frequency (LF) domain, high-frequency (HF) domain and the LF:HF ratio. While frequency in the range of 0.04–0.15 Hz was considered as LF, frequency between 0.15 and 0.4 Hz was considered as HF.

Barhwal K.K., Boppana S., Vashishtha V, & Mahapatra S.C. (2020). Conscious Abstinence from Smokeless Tobacco Evokes Higher Withdrawal Response and Impairs Cognitive Performance Independent of Sympathetic Response. Annals of Neurosciences, 27(1), 29-39.

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Physiological Signal Acquisition and Analysis

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All physiological signals were acquired using Biopac Systems, Inc. MP150 hardware (Biopac Systems Inc., Goleta, CA, USA). The MP150 digitally sampled signals at 1000 Hz. Physiological data were acquired using Biopac AcqKnowledge 4.4 software in order to detect and remove movement artifact. ConMed Suretrace conductive Ag/AgCl adhesive pre-gelled electrodes were used for collection of ICG and ECG data. All physiological measures were collected in real time, then separately averaged within pre-task, task, and post-task epochs prior to statistical analyses.

Grant S.S., Kim K, & Friedman B.H. (2023). How Long Is Long Enough? Controlling for Acute Caffeine Intake in Cardiovascular Research. Brain Sciences, 13(2), 224.

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Noninvasive Assessment of Vagal Tone

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Vagal tone was assessed using noninvasive Electrocardiogram (ECG) recordings, obtained with a Biopac ECG amplifier (Goleta, CA) according to accepted guidelines (Fox & Leavitt, 1995 ). Participants were instructed to sit quietly without moving for 5 minutes. We used a modified Lead II configuration, placing electrodes on the right clavicle, left lower torso, and right leg (ground). ECG data, sampled at 1.0 kHz, were collected using Biopac MP150 hardware and Acknowledge software. Trained raters, blinded to violence exposure of participants, visually inspected automatic R-peak detection of the ECG data using Mindware Heart Rate Variability (HRV) Software (Mindware Technologies, Gahannah, OH). Visual inspection focused on detecting ectopic beats and confirming accurate detection of R-peaks in the ECG waveform. From IBI time series, we calculated RSA in 1-minute bins. To calculate RSA, the HRV module detrended the data using a first order polynomial to remove the mean and any linear trends, cosine tapered the data, submitted it to Fast Fourier Transformation, and took the natural log integral of high frequency power in the appropriate respiratory frequency band based on participant age (0.24–0.40 Hz for 8–12 years of age, and 0.18–0.40 Hz for 13–16 years of age), (Shader et al., 2018 (link)).

Susman E.S., Weissman D.G., Sheridan M.A, & McLaughlin K.A. (2021). High Vagal Tone and Rapid Extinction Learning as Potential Transdiagnostic Protective Factors Following Childhood Violence Exposure. Developmental psychobiology, 63(6), e22176.

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Noninvasive Cardiac Variability Measurement

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Continuous cardiac measures were recorded noninvasively according to accepted guidelines (Sherwood et al., 1990 (link)). Electrocardiogram (ECG) recordings were obtained with a Biopac ECG amplifier (Goleta, CA) using a modified Lead II configuration (right clavicle, left lower torso, and right leg ground). Biopac MP150 hardware and Acknowledge software were used to acquire the ECG data (sampled at 1.0 kHz). ECG data were scored by trained professionals blind to group status. Signals were visually inspected and scored using Mindware Heart Rate Variability (HRV) Software (Mindware Technologies, Gahannah, OH).
RSA was calculated from interbeat interval time series using spectral analysis conducted in Mindware HRV Software. RSA was calculated for the frequency band 0.12–0.40Hz.

Jenness J.L., Miller A.B., Rosen M.L, & McLaughlin K.A. (2019). Extinction learning as a potential mechanism linking high vagal tone with lower PTSD symptoms among abused youth. Journal of abnormal child psychology, 47(4), 659-670.

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