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BME Biomedical Engineering

Extensive Recording & Analysis Options for Biomedical Engineering Signal Processing

Collect, display and investigate biomechanical data with an MP Research System

Options for bioelectric and biomechanical studies

Powerful signal processing solutions

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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Intuitive, Elegant AcqKnowledge Software

Powerful automated analysis. Instantly & easily view, measure, analyze, and transform data.

Compatible with 3rd-party systems

Direct data to industry-standard applications like MatLab or LabVIEW

Build and test real circuits, use the software to compare real results to simulation

Breadboard Kit (SS39L) and powerful AcqKnowledge software

Application Starter Hardware  

Hardware Packages   |   BME Biomedical Engineering

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.

Wired

Wireless

Animal

Details

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.

  • Data Acquisition & Analysis Systems
  • Wired and Wireless Solutions
  • Amplifiers, Transducers, and Calibration
  • ECG, EDA (GSR), EEG, EGG, EMG, and EOG
  • Force, Pressure, Strain, Flow, Temperature, Sound, Light
  • API for hardware and software
  • Signal Analysis & Processing
  • Filters (FIR & IIR)
  • Instrumentation Design
  • Respiratory System & Pulmonary Function
  • Bioimpedance (Cardiac Output & Blood Flow)
  • Biomechanics—Angle, Acceleration, Distance, Velocity
  • Physiological Control Systems
  • Compartmental Modeling
  • Blood Pressure & Heart Sounds
  • Gait Analysis
  • Chart, Overlap, Scope, and X/Y Displays
  • Synchronize with video
  • Network data transfer
  • Brain Coimputer Interface
  • Spectral Analysis & Histograms
  • Export data to MatLab®, LabVIEW®, MS Excel/Word®, and more

 

 Physiological Signal Processing Lab – schematics and design notes for MP36R System and SS39L Breadboard Kit:

  1. Square Wave Oscillator
  2. Instrumentation Amplifier—video 1
  3. Active Filter: High Pass
  4. Active Gain Block & Low Pass
  5. Notch Filter for 50/60 Hz Rejection—video 2
  6. QRS Detection: Band Pass Filter—video 3
  7. QRS Detection: Absolute Value Circuit—video 4
  8. QRS Detection: Low Pass Filter and Overall System Test—video 5

BIOPAC White Paper – presented at IEEE BMES: Inquiry-based BME Signals Inquiry-based BME Signals (PDF)

Research and education in biomedical engineering – The Whitaker Foundation (1975-2006)

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Using Facial Expressions to Understand Behavior

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.

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