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.
Try BME tools in the free AcqKnowledge Demo
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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)
New Automation Tool Saves Time and Improves Data Consistency
Workflow’s drag-and-drop interface allows you to automate and repeat the signal-conditioning and processing steps your protocol requires in an easy-to-use process without programming or scripting.
– Batch process multiple files with confidence that they’re all processed using the same procedure.
– Expedite signal conditioning and preparation for analysis with a standardized and automated approach.
– Extract measurements, analyze data and get results faster, for meaningful scientific insights.
– Save and share workflows with others in your team to help reduce training time and increase collaboration.
Watch On Demand
Register NowAcqKnowledge is an interactive, versatile software program that allows you to manage data in real time. Perform complex data acquisition, stimulation, triggering and analyses using intuitive navigation. Here are some recent AcqKnowledge citations… The nature of vicarious embarrassment. Journal of Business Research, 153, 355-364. Ziegler, A. H., Allen, A. M., Peloza, J., & Norris, J. I. (2022). […]
BIOPAC’s comprehensive Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines for extracting, […]
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