Mp150 data acquisition system

Manufactured by Biopac

Sourced in United States

The MP150 data acquisition system by Biopac is a versatile and powerful tool for recording and analyzing physiological signals. It features a modular design that allows for the integration of various sensor and amplifier modules, enabling researchers to customize the system to meet their specific needs. The MP150 system is capable of simultaneously recording multiple channels of data, including bioelectrical signals such as ECG, EEG, and EMG, as well as other physiological measurements like respiration, blood flow, and temperature. The system is designed to provide high-quality data acquisition, with advanced features such as digital filtering and signal conditioning to ensure accurate and reliable measurements.

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MP150 (409 citations) MP150 system (205 citations) Data acquisition system (21 citations) MP150 Data Acquisition (4 citations) MP150 acquisition system (4 citations) MP150 data acquisition and analysis system (3 citations) 16-bit MP150 data acquisition system (2 citations)

49 protocols using mp150 data acquisition system

EEG Analysis of Seizure Activity in TLE Mice

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Three months after transplantation, seizure activity of control or MGE-transplanted TLE mice was recorded using a MP150 Biopac data acquisition System, EEG100C EEG amplifier module and AcqKnowledge 4.0 EEG Acquisition and Reader Software (BIOPAC Systems Inc.) along with Eco Black Box security camera system (Lorex Technology). EEG seizures with high-frequency, high-voltage synchronized polyspike profiles with amplitudes greater than 2-fold that of background and a duration of greater than 15 sec (Hunt et al., 2013 ) were analyzed using AcqKnowledge 4.0 EEG Acquisition and Reader Software (BIOPAC Systems Inc.) by investigators who were blind to treatment conditions. This was followed by confirmation of EEG seizure activity by video recording.

Cunningham M., Cho J.H., Leung A., Savvidis G., Ahn S., Moon M., Lee P.K., Han J.J., Azimi N., Kim K.S., Bolshakov V.Y, & Chung S. (2014). Human PSC-derived maturing GABAergic interneurons ameliorate seizures and abnormal behavior in epileptic mice. Cell stem cell, 15(5), 559-573.

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EEG-Based Seizure Monitoring in Mice

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One week after electrode implantation, EEG recordings of seizure activity in mice were obtained using a MP150 Biopac data acquisition System, EEG100C EEG amplifier module and AcqKnowledge 4.0 EEG Acquisition and Reader Software (BIOPAC Systems Inc.), and Eco Black Box security camera system (Lorex Technology). EEG seizures with high-frequency, high-voltage synchronized polyspike profiles with amplitudes >2-fold background and a duration ≥15 sec (Hunt et al., 2013 ) were analyzed using AcqKnowledge 4.0 EEG Acquisition and Reader Software (BIOPAC Systems Inc.) by investigators who were blind to treatment conditions. Once EEG seizure activity was observed, it was confirmed by offline review of video recordings. All EEG seizures were accompanied by >stage 3 seizures on the Racine scale (forelimb clonus, rearing, and/or falling). Each animal was recorded for 4 days.

Leung A., Ahn S., Savvidis G., Kim Y., Iskandar D., Luna M.J., Kim K.S., Cunningham M, & Chung S. (2014). Optimization of pilocarpine-mediated seizure induction in immunodeficient Nod-Scid mice. Epilepsy research, 0, 114-118.

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Multimodal Physiological Measurements in Research

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EDA, ECG, and cEMG were recorded with a sampling rate of 2000 Hz using the MP150 data acquisition system and AcqKnowledge 4.1 software (BIOPAC systems, Inc., Goleta, CA). Stimulus onset markers were transmitted via the BIOPAC STP100C digital interface. EDA was measured using two disposable electrodes placed on the hypothenar surface of the non-dominate hand. ECG was measured using two disposable electrodes placed over the left first intercostal space and below the right lowest rib the participant could feel. cEMG was measured using two Ag-AgCl shielded electrodes placed over the left corrugator supercilii muscle.

Jones B.J, & Spencer R.M. (2019). Sleep preserves subjective and sympathetic emotional response of memories. Neurobiology of learning and memory, 166, 107096.

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Resting Respiratory Sinus Arrhythmia in Children

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Monitoring electrodes were secured slightly below the right clavicle and below the ribs on both sides. Three‐lead electrocardiogram data were recorded with a Biopac MP150 data acquisition system and a BioNomadix module at a sampling rate of 2 kHz (Biopac Systems, Goleta, CA, USA). Leads from each electrode were connected to a module fastened around the midsection that communicated wirelessly via the MP150 with a computer in an adjacent room running the AcqKnowledge 4.2 data acquisition software (AcqKnowledge Software, RRID:SCR_014279). After a 5-min rest period, children were asked to remain still while watching a 120-s video depicting a sea turtle swimming slowly in the ocean (see [49 (link)]). The research assistant left the room for the duration of the video. Physiological data collected during the video were imported to Mindware HRV 3.0.21 (Mindware Technologies, Gahanna, OH, USA) for visual inspection, cleaning, and RSA calculation. They were cleaned in two 60‐second intervals to ease processing. An interval that required more than 20% of editing was excluded from further analysis. Resting RSA was computed as the mean level of RSA across the video.

Wong T.K., Colasante T, & Malti T. (2022). Daily COVID-19 Stressor Effects on Children’s Mental Health Depend on Pre-pandemic Peer Victimization and Resting Respiratory Sinus Arrhythmia. Child Psychiatry and Human Development.

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Noninvasive Cardiovascular Monitoring

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Blood pressure and heart rate were monitored before and during contractions with an automated beat-by-beat blood pressure monitor (NIBP-100D noninvasive blood pressure system coupled with a MP150 data acquisition system; Biopac, Goleta, California, USA). A blood pressure cuff was placed around the index and middle finger of the relaxed dominant hand with the arm placed on a table adjacent to the subject at heart level. Blood pressure and heart rate signals were recorded onto computer with the Power 1401 A-D converter and Spike 2 software (CED) at 500 samples/s.

Pereira H.M., Spears V.C., Schlinder-Delap B., Yoon T., Nielson K.A, & Hunter S.K. (2015). Age and sex differences in steadiness of elbow flexor muscles with imposed cognitive demand. European journal of applied physiology, 115(6), 1367-1379.

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Photoplethysmogram Study of Healthy Volunteers

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In all, 57 healthy volunteers (34 men and 23 women) ranging from 22 to 60 years of age (mean (SD): 29.5 (5.9) years of age) participated in the PPG study. None of the participants had psychological or neurological disorders. All subjects provided their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Institutional Review Board of the Seoul National University Hospital (IRB No. C-1703-045-837).
An MP150 data acquisition system (BIOPAC Systems, Inc., Goleta, CA, USA) simultaneously recorded a finger photoplethysmogram as a reference and the foot photoplethysmogram at a sampling rate of 500 Hz. As a reference, finger PPG was performed using a qualified PPG module (PPG100C, BIOPAC) with a paired (TSD200, BIOPAC) infrared (IR) LED and PD. A Velcro strap was used to fix the LED-PD pair to the middle fingertip of each participant’s right hand. The foot photoplethysmogram was recorded using a universal interface module (UIM100C, BIOPAC) and LED-PD pairs on a printed circuit board.

Hong S, & Park K.S. (2018). Unobtrusive Photoplethysmographic Monitoring Under the Foot Sole while in a Standing Posture. Sensors (Basel, Switzerland), 18(10), 3239.

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Physiological Signal Recording During Game

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For the physiological signal recording, the Biopac MP150 data acquisition system¹ with three amplifiers, ECG100c², GSR100c³, and SKT100c⁴, was used. All recordings were collected online during the game time through UDP/IP at a frequency of 100 Hz. All physiological measurements were recorded through non-invasive, ambulatory sensors, using simple, and fast Velcro attachment electrodes for GSR and SKT and sticky disposable electrodes for the ECG. The mean values for the 5-min experimental sessions (i.e., open- and closed-loop experiments) were calculated. From the ECG, the intervals between two heartbeats (NN intervals) were extracted in order to calculate the mean HR value with SD. Two components were extracted from the GSR signal: SCL and SCR frequency. The mean SCL with SD, which is the baseline level of skin conductance, was calculated for each game difficulty level. The SCR frequency represents increases in skin conductance followed by a return to the tonic level. The mean SCR frequency with SD as well as mean SKT with SD are presented in the results.

Rodriguez-Guerrero C., Knaepen K., Fraile-Marinero J.C., Perez-Turiel J., Gonzalez-de-Garibay V, & Lefeber D. (2017). Improving Challenge/Skill Ratio in a Multimodal Interface by Simultaneously Adapting Game Difficulty and Haptic Assistance through Psychophysiological and Performance Feedback. Frontiers in Neuroscience, 11, 242.

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Skin Conductance Response Acquisition Protocol

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At both sites, SCR data were acquired on a BIOPAC MP150 Data Acquisition System using the EDA100C module with MECMRI-TRANS cable system (BIOPAC, USA). Data were acquired directly into BIOPAC AcqKnowledge 4.3 software at 2000 Hz (Arkansas site) or 1000 Hz (Wisconsin site). No online hardware or software filtering was applied. Two SCR electrodes (EL509, isotonic recording GEL 101) were placed on the medial portions of the thenar and hypothenar eminences of the left hand for recording and one electrode was placed on the ventral surface of the left wrist for ground.

Privratsky A.A., Bush K.A., Bach D.R., Hahn E.M, & Cisler J.M. (2020). Filtering and model-based analysis independently improve skin-conductance response measures in the fMRI environment: validation in a sample of women with PTSD. International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 158, 86-95.

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Whole Nerve Electrophysiology of Vagus Nerve

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For whole nerve electrophysiology, the vagus nerve was cervically transected, and the peripheral transected end was desheathed and placed onto a pair of platinum-iridium electrodes (A-M systems). Optical fibers were positioned distally to illuminate the peripheral trunk, a ground electrode was placed on nearby muscle, and the neck cavity was filled with halocarbon oil. Nerve activities were detected with an audio monitor (Grass), recorded with an alternating current (AC) preamplifier (Grass, at 1 kHz sampling rate unless specifically mentioned), and acquired on a MP150 data acquisition system (Biopac). Compound action potentials in response to a 0.8 ms light stimulus were recorded (50 kHz sampling). Fiber conduction velocity was determined by varying the distance between the optic fiber and recording electrode (travel distance); resulting time lags in peak maxima (Dt) were graphed as a function of travel distance, revealing characteristic A and C fiber types. The ratio of A to C fibers was calculated by integrating corresponding peak area in the compound action potential. Since the A and C peaks were not completely separated in most recordings, the A/C ratio reported is an underrepresentation of fold enrichment.

Chang R.B., Strochlic D.E., Williams E.K., Umans B.D, & Liberles S.D. (2015). Vagal Sensory Neuron Subtypes that Differentially Control Breathing. Cell, 161(3), 622-633.

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Rat Urine Raman Measurement

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Rat urine was collected in a 50 mL tube using a metabolic cage. As in a previous paper [26 (link)], the voiding pattern measured a week after the HCl injection was examined, and the collected urine was used as a sample for the Raman measurement. Twenty-four hours of natural voiding patterns in the metabolic cage were recorded and analyzed using Acq Knowledge 3.8.1 software and an MP150 data acquisition system (Biopac Systems, Goleta, CA, USA), at a sampling rate of 50 Hz. The change in the urine volume for the model group, as obtained from raw data, was estimated at 0.5 mL.

Lee S., Namgoong J.M., Yu H.Y., Jue M., Kim G., Jeon S., Shin D.M., Choo M.S., Joo J., Pack C.G, & Kim J.K. (2019). Diagnosis in a Preclinical Model of Bladder Pain Syndrome Using a Au/ZnO Nanorod-based SERS Substrate. Nanomaterials, 9(2), 224.

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