Collect, display and investigate biomechanical data with an MP Research System
Options for bioelectric and biomechanical studies
BIOPAC provides extensive recording and analysis options for Biomedical Engineering signal processing, including bioelectric and biomechanical studies.
MP data acquisition units can record biopotential and transducer signals and AcqKnowledge® software includes powerful tools to measure, interpret, and report data. The hardware/software combination can be used to create a virtual instrument that can be tailored for a wide range of measurements with analysis tools for digital filtering, integration, differentiation, FFT, convolution, correlation, and a host of signal processing options.
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Powerful automated analysis. Instantly & easily view, measure, analyze, and transform data.
Direct data to industry-standard applications like MatLab or LabVIEW
Breadboard Kit (SS39L) and powerful AcqKnowledge software
Hardware Bundles are complete solutions for the specified application. Choose your preferred platform and bundle, then click "Request Pricing" to request an estimate, add/remove items, or complete purchase. If you have questions about specific items, click through to the product web page for details and specifications, or contact your Local Sales contact.
MP160 System
Wired | BME Biomedical Engineering
MP160 with AcqKnowledge and Licenses for Scripting and NDT plus Hardware & Software APIs
MP160 System
BioHarness
Wireless | BME Biomedical Engineering
BioHarness "Lab on a Strap" live or logged ECG, respiration, temp, posture, and acceleration
B-Alert X10
Wireless | BME Biomedical Engineering
X10 Wireless EEG (9 CH) and ECG plus Cognitive State Metrics & AcqKnowledge
Mobita
Wireless | BME Biomedical Engineering
Mobita system for up to 32-CH Wireless Biopotentials plus AcqKnowledge
BioHarness
B-Alert X10
Mobita
Stellar
Animal | BME Biomedical Engineering
Schedule, Record, and Analyze Stellar Telemetry Data with AcqKnowledge
Stellar
Use the Breadboard Kit (SS39L) to build and test real circuits, and then use the software to compare real results to simulation.
Collect, display and investigate data with an MP Research System, or use it to direct data to industry-standard applications like MatLab or LabVIEW.
Physiological Signal Processing Lab – schematics and design notes for MP36R System and SS39L Breadboard Kit:
BIOPAC White Paper – presented at IEEE BMES: Inquiry-based BME Signals 
Research and education in biomedical engineering – The Whitaker Foundation (1975-2006)
Learn how to collect and interpret facial expressions data with facial coding software called FaceReader, and how to synchronize with other biometric response. FaceReader is an emotion reading software that analyzes facial movements to classify subject response. Facial expressions can be classified as happy, sad, scared, disgusted, surprised, angry, contempt, and neutral.
Register NowBIOPAC provides software and hardware that allow for research teams to record and analyze respiration activity in physiological experimentation. Here are a few notable studies covering HRV, EMG, and EEG measurement. DON’T STRESS (Jing Wei, Hong Luo, Si J. Wu, Paul P. Zheng, Genyue Fu, and Kang Lee) Humans encounter various stressful situations everyday at work, home, and school. Such stress when experienced at high degrees and/or […]
Alan Macy Answers Proust Questionnaire BIOPAC co-founder and R&D Director, Alan Macy, was interviewed recently by Roger Durling for the Santa Barbara Independent. The article, “The S.B. Questionnaire: Alan Macy,” provided a background excerpt of the Santa Barbara entrepreneurs’ past as well as his answers to the Proust Questionnaire. The biomedical technology developed at BIOPAC reflects an ambitious […]
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