The Biopac Student Lab Pro software has many features that permit the user to perform a number of hemodynamic measurements, in addition to basic measurements, such as Systolic, Diastolic, Mean, and Rate. These measurements can be performed as data is collected (in real time), or after data collection is over (post-processing).
A number of hemodynamic measurements are cyclical in nature. “Cyclical” means that these measurements are performed on a beat-by-beat basis and are thus updated every time the raw blood pressure repeats a cycle.
Micro Pressure Measurement - MPMS Systems provide accurate data, high speed, and small sensor size. Ideal for small animal research studies such as ICP and LVP. MRI compatible sensors available.
ICG: Impedance Cardiography/Cardiac Output - Record cardiac output, thoracic impedance changes, or any kind of bioimpedance signal. Use AcqKnowledge for a fully automated ICG analysis and dZ/dt waveform classifier.
ECG: Cardiology - Connect up to 16 ECG input leads with MP160 system. Use automated analysis features for HRV, RSA, to classify heartbeats, identify arrhythmias, and perform ECG averaging.
fNIRS is growing in popularity as a tool for studying human cognition including workload, memory, learning, attention and more. It is simpler than ever to incorporate into your experiments.
You will learn how to: – Operate fNIRS equipment – Record high quality data – Perform an experiment – Analyze data – Synchronize with other physiological signals – Synchronize with stimulus presentation
BIOPAC provides software and hardware that allows research teams to record and analyze numerous body signals for physiological experimentation. Here are a few notable studies using BIOPAC equipment for ECG, EDA, and Respiration data. What Keeps Students More Engaged? The question has been brought to the forefront during COVID, what variations of online learning keep students more engaged? […]
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, […]