Epoch wireless in vivo recording

Epoch wireless in vivo recording systems are a low-cost solution for continuous, long-term biopotential recordings from rodents…EEG (2, 4, or 6 channel), ECoG, ECG, EMG. Epoch wireless transmitters are available for a variety of signals with 2 week, 2 month or 6 month battery life, with new reusable and differential transmitter options. This overview details the components of epoch wireless in vivo recording systems. When paired with BIOPAC’s MP Research System & AcqKnowledge, automation and scoring tools can identify seizures, predefine and control recording protocols, set triggers based on external events, quickly score multiple channels of EEG data simultaneously, derive frequency bands, complete a frequency analysis, look at Alpha RMS, and more. Click to learn more about the Epoch advantage.

Epoch wireless in vivo recording – EEG monitoring

epoch-implant-jovehttp://www.jove.com/video/52554/long-term-continuous-eeg-monitoring-small-rodent-models-human-disease

This video describes the technology behind Epoch transmitters and demonstrates the use of  this novel miniature telemetry system, specifically engineered for use in immature rats or mice, which is also effective for use in adult animals in pre-clinical research with continuous EEG in young animal models of seizures and other neurological disorders.

Eye Tracking & Physiology – Synchronized Data

A demonstration of AcqKnowledge software multimedia functionality when used in conjunction with the SMI Eye Tracking Glasses and Wireless BioNomadix Logger & Physiology data transmitters.

Left side shows data downloaded from the BioNomadix  Logger for transmitters placed on subject: on-board accelerometer (x, y, z); Heart (ECG); Pulse; Respiration; Electrodermal activity.

Right side shows video recorded from SMI Eye Tracking glasses as the subject was wearing them and performing tasks while fully mobile.

Playback Shows video of precisely what the subject is looking at as performing a task and you see the cursor move forward in the data file, synchronized to the precise point in the video.

Green dot shows focus point of subject (driver in this case), so at any given moment in time you know precisely were driver is looking.

Full control over Video and physiological  data , jump thru video to finds an area of particular interest in , driver distracted by the on-board display as car is coming up to traffic lights and a lot is going on there, plus we can also skip to a region of physiological data and jump to the precise point in the video.

Significant noise from the accelerometer, from undulations in the road (vibration) and we can see the road change from black asphalt to cobbled street that provided more vibration. See the car hit the cobbled street and vibrations show on the accelerometer data channels.

User has complete control: physiology file advances video or video moves to precise point in the physiological record…or just play the entire recording.

Learn more about SMI Eye Tracking glasses and wireless BioNomadix Logger & Transmitters. Performed fully mobile subject get out of car, walk around. Monitoring to see how particular tasks impact the physiological response.

Eye Tracking Webinar | BIOPAC & SMI

BIOPAC and SensoMotoric Instruments experts present user case studies to demonstrate new research capabilities made possible by the plug & play integration of SMI eye tracking technology with BIOPAC’s wireless physiological recording systems.

FaceReader – Contempt classifier

FaceReader now automatically classifies contempt (in v6 or above). Contempt is defined as the feeling that a person or a thing is beneath consideration, worthless, or deserving scorn and therefore seen as a negative emotion. Add depth to your study by measuring contempt in addition to other facial expressions. FaceReader is available as software, but also as an online application. Integrate with physiology data in AcqKnowledege through Licensed Feature FR-INTERFACE.

FaceReader Affective Attitudes

See the real-time capability of the FaceReader Action Unit Module to measure three commonly used affective attitudes: boredom, confusion, and interest. They are not completely expressed within a single instance, but computed over a window of time. In addition, some of these affective attitudes also take into account certain additional facial cues, such as nodding or head shaking.

FaceReader Classifications Demo

FaceReader™ is the premier professional software for automatic analysis of facial expressions. FaceReader provides objectivity when studying the effects of different stimuli. FaceReader automatically analyzes 6 basic facial expressions- neutral, contempt, and boredom, interest, and confusion-and also calculate gaze direction, head orientation, and person characteristics. Accurate modeling of the face is achieved from descriptions of 500 key points and more than 10,000 manually-annotated images used for training the software. FACEREADER

FaceReader Facial Expression Classifier

FaceReader is the premier professional software for automatic analysis of six basic facial expressions (happy, sad, scared, disgusted, surprised, and angry), as well as classifying neutral and now contempt. FaceReader also provides gaze direction, head orientation, and person characteristics, such as gender and age. Detailed analysis of facial action units is also available. The software immediately analyzes your data (live, video, or still images), saving valuable time. Integrate with physiology data in AcqKnowledege through Licensed Feature FR-INTERFACE.

Network Data Transfer demo using heart rate to change hand

An example of using BIOPAC’s Network Data Transfer protocol to send physiological data from AcqKnowledge to other applications in real time.

NIBP Webinar | Integrating Noninvasive Blood Pressure Monitoring with Human Physiology Measurements

In this webinar sponsored by BIOPAC Systems and CNSystems, Frazer Findlay and Walter Habenbacher discuss study design and demonstrate correct equipment set up and operation when recording NIBP with additional physiological signals. Specifically, Mr. Habenbacher explains the application of the NIBP100D-HD to measure noninvasive continuous blood pressure. He demonstrates setup & measurement and shows how scientific findings can benefit your research with advanced hemodynamic monitoring.

Following, Mr. Findlay demonstrates how to interface the NIBP100D Continuous Noninvasive Blood Pressure Monitor with the BIOPAC MP160 Data Acquisition and Analysis System and simultaneously recorded measurements of NIBP, ECG and respiration.  In addition, Mr. Findlay discusses important data analysis processes such as computing cardiac output and stroke volume, and demonstrates how scientists can use the “Focus Areas” feature in AcqKnowledge Software to simplify their data review.

Noldus The Observer XT Import/Export in AcqKnowledge

Use simple menu options for export to and import from Noldus The Observer XT v11 and AcqKnowledge 4.3 or above. Easily export AcqKnowledge event marker label and time to The Observer XT—select all events or limit by type, such as stim/response events. Import The Observer XT ‘point’ and ‘state’ behaviors as AcqKnowledge events. Import ‘state’ start, stop, label, and duration and/or import ‘point” label and time. Imported event details are marked in the AcqKnowledge event region and included in the event palette for complete analysis and reporting options. Using AcqKnowledge with Noldus The Observer XT Data

SMI BeGaze Import and Synchronization

Starting with AcqKnowledge 4.3 , it’s possible to synchronize and merge BIOPAC physiological data and SMI BeGaze eye tracking data. Connect the SMI parallel port to BIOPAC isolated digital interface STP100C, then set SMI experiment center to send a trigger with each stimulus presentation, and set AcqKnowledge to record the triggers on a digital channel. When SMI data is imported and merged with an AcqKnowledge file, the trigger data is used to precisely align the data. Using the merged data, it’s easy to explore the relationship between a stimulus presentation and the physiological response that follows. Using AcqKnowledge with SMI BeGaze Data