AcqKnowledge Pulmonary Airflow

An introduction to the AcqKnowledge Pulmonary Airflow analysis routine, which is part of a suite of three automated respiration routines; the other two are Compliance and Resistance and Full Body Plethysmograph – Penh. Each routine provides breath-by-breath analysis, event marking and exporting of the values to excel.
Pulmonary Airflow analysis with AcqKnowledge

Classify Heartbeats

A demonstration of the AcqKnowledge Detect and Classify Heartbeats analysis routine. The routine will classify human Lead II ECG data and label the waveform to indicate whether a heartbeat is normal, a preventricular contraction or unclassified. AcqKnowledge ECG Analysis

Compliance and Resistance

An introduction to the AcqKnowledge Compliance and Resistance analysis routine. The routine will calculate volume from an airflow signal and create a new volume channel. The software identifies key components of the waveform and places event marks on the signal. The routine uses the event marks to take measurements from the data before pasting the results into a Journal file or spreadsheet for further analysis. AcqKnowledge Data Acquisition & Analysis Software

Digital Input to Stim Events

A demonstration of the AcqKnowledge Digital Input to Stim Events analysis routine. This routine will convert digital trigger information sent from visual presentation systems such as E-Prime, SuperLab, Presentation, and Vizard to stimulus events that AcqKnowledge can use to perform an event related analysis. AcqKnowledge Data Acquisition & Analysis Software

Estimated Cardiac Output from Blood Pressure

Estimate Cardiac Output from Arterial Blood Pressure (ABP): this automated routine requires a continuous noninvasive blood pressure waveform—such as the signal from the NIBP100D module—and uses the Liljestrand and Zander estimator to calculate stroke volume and cardiac output on a cycle-by-cycle basis. Output results to speadsheet, journal, and waveform. This is a new feature starting with

Gastric Wave Analysis

Introduction to the AcqKnowledge Gastric Wave Analysis and Gastric Wave Coupling routines. These routines use autoregressive time frequency analysis to determine the classification of gastric waves present in an EGG file. The waves are divided into three primary categories – normal, bradygastric and tachygastric and the percentage for each category is determined. The coupling analysis determines the degree of coupling between two channels of EGG data and can be used to determine the degree of slow-wave propagation across the stomach. AcqKnowledge Gastric Wave Analysis

Monophasic Action Potential Analysis

A demonstration of the AcqKnowledge Monophasic Action Potential Analysis routine. The MAP analysis will create a derivative waveform and score both the raw action potential signal and its derivative with key events. AcqKnowledge uses the events to take measurements from the signals and paste them into a Journal file or a spreadsheet for further analysis. AcqKnowledge Data Acquisition & Analysis Software

Seizure Detection using AcqKnowledge

AcqKnowledge now provides a routine for locating seizures in long-term small animal EEG recordings…automatically identify and score seizures using the spike frequency method. The system processes user-defined rules and time periods to define and classify seizure activity within a particular epoch. Seizure interval and intensity results are output to a spreadsheet, journal file, and waveform plot. Use Focus Areas to isolate only the segments that contain seizure activity and quickly run measurements. Learn more about Epoch EEG Systems to record two channels of EEG data.

Stim Response Analysis

A demonstration of the AcqKnowledge Stimulus Response Analysis routine. This routine identifies stimulus events in the software and takes measurements from the data at, or about, the stimulus event location. The routine pastes the measurement results into a Journal file or a spreadsheet for further analysis. AcqKnowledge Stim-Response Analysis Tools