BIOPAC released a new application note that explains how to optimize ECG R-R interval data for Heart Rate Variability studies by using a template matching approach. It also explains how to identify erroneous R-R interval values caused by signal artifact and shows methods for correcting the errors by using the tools in the AcqKnowledge software. If these guidelines are followed and subject movement is minimized it is reasonable to expect virtually no artifacts in the data.
Read the full Heart Rate Variability—Application Note .
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Eye tracking technology has come a long way and has enabled researchers to conduct mobile experiments and track participants in real world scenarios. These featured studies demonstrate some of the use cases for mobile eye tracking technology. Here are some recent studies that have used BIOPAC systems for eye tracking research… Drivers’ gaze patterns when resuming […]
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