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ECG Electrocardiogram Analysis Software Module

The Premier Data Acquisition & Analysis Program: AcqKnowledge®

Software module for advanced analysis

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Electrocardiography ECG Automated Analysis Module
Part #: ACKECG

Electrocardiography Analysis Module
For a Complete ECG Recording and Analysis Solution, Use the Power of MP Systems and AcqKnowledge Software!

Record ECG data and use automated analysis routines to detect and classify heartbeats, locate ECG complex boundaries for humans or animals, or perform an in-depth HRV analysis. Results can be displayed on the waveform or automatically exported to Excel.

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Part #: ACKECG
Categories: Software - Research
Subcategories: AcqKnowledge & Upgrades - Research

Details

Compatibility


ECG analysis routines

Set up and recording is streamlined via intuitive hardware and software controls.

AcqKnowledge software utilizes guided channel setting allowing the user to easily input recording channel data. Once parameters are established, recording settings can be saved as a graph template for future use. This allows for instant startup for subsequent recording sessions.

During recording, see real-time live raw ECG data as well as real-time filtering or calculation channels including Heart Rate. Easily insert markers via the computer keyboard for different stimuli presentation or experimental conditions throughout recording. Markers can also be inserted by stimulus presentation programs such as E-Prime or SuperLab using the isolated digital interface (STP100C) or by digital handswitches.

ECG Data with Markers

ECG Complex with Complex Boundary Markers in AcqKnowledge

ECG and other physiological data can also be synchronized to video recording via BIOPAC Camera Systems. With Camera Systems ECG data and Video Data are time linked in AcqKnowledge. Simply scroll through either the video or physiological data to be taken to the corresponding data point in the other file.

AcqKnowledge video sync

Physiology and Linked Video Data

After recording, take advantage of fully automated ECG analysis routines in AcqKnowledge. Use guided video tutorials to get the most out of all available analysis tools.

ECG Automated Analysis Package Overview

Detect and Classify Heartbeats

This routine Locates QRS complexes and places an event near the center of each QRS complex identifying the type of heartbeat event.

  • Heartbeats are classified as Normal, PVC, or Unknown

See the Detect and Classify Heartbeats routine in action:

Locate ECG Complex Boundaries (Human and/or Animal)

Perform ECG waveform boundary detection for human or animal ECG Lead II signals. Boundaries of the QRS, T, and P waves will be defined and marked for each individual complex. Average heart rate can be configured for small animal studies (e.g. 600 BPM).

See the Locate ECG Complex Boundaries in action:

Heart Rate Variability (HRV)

Easily calculate HRV and choose from fully customizable result outputs. HRV routine implements a built in QRS detector to mark complexes for RR interval extraction. Choose your FFT windowing type: Hamming, Hanning, or Blackman.

HRV Results

Extracts standard HRV measures from areas of interest or whole recording.

HRV Frequency Band Selection

Sympathetic/Vagal ratios can be toggled to include the very low frequency band in the total power estimate.

HRV interpolated tachogram

Flexible output options including RR interval table, tachogram, power spectrum density, and more!

AcqKnowledge software includes automated ECG routines plus dozens of other automated analysis routines and transformation tools.

Get Started!
Contact BIOPAC today to customize your package with amplifiers, leads, electrodes, and/or transducers. Record up to 16 channels of high-fidelity ECG and other physiological data either wirelessly with BioNomadix or via standard wired amplifiers.

Videos

BIOPAC Research Solutions | ECG

Automated ECG Analysis- Lead II

Classify Heartbeats

Locate Animal ECG Complex Boundaries in AcqKnowledge

Dual-Channel MRI Gating

EL-CHECK Electrode Impedance Checker

Support

Application Notes

Downloads/Resources

Knowledge Base

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