Improving Data Quality: ECG

Before reading this article, check out these basic guidelines for ensuring good data collection which are universally applicable. Now we will get a bit more focused, and talk about signal specific data quality issues that can arise and how to deal with them. Disclaimer: Labeling data “good” or “bad” is […]

Improving Data Quality: EDA

Before reading this article, check out these basic guidelines for ensuring good data collection which are universally applicable. Now we will get a bit more focused, and talk about signal specific data quality issues that can arise and how to deal with them. Disclaimer: Labeling data “good” or “bad” is […]

Improving Data Quality: Cardiac Impedance

Before reading this article, check out these basic guidelines for ensuring good data collection which are universally applicable. Now we will get a bit more focused, and talk about signal specific data quality issues that can arise and how to deal with them. Disclaimer: Labeling data “good” or “bad” is […]

Improving Data Quality: General Guidelines

Collecting good quality data is fundamental to every study. Poor data quality can result in hours of additional work in post processing and, in the worst case scenario, the need to discard an entire epoch/session/subject. Discarding a subject often means not only lost data, but also lost time and financial […]

All About HRV Part 5: Data Editing

We have now gone through the various statistics in the HRV application, how they are calculated, and what they infer. To ensure that these statistics are accurate, the R peaks on the ECG signal need to be checked for correctness.   Effects of Artifact on RSA It is critical that […]

All About HRV Part 4: Respiratory Sinus Arrhythmia

Last time we talked about how the IBI series is transformed from the time-domain to a frequency-domain representation. This is done to isolate specific frequency ranges of variability. One of the frequency bands, named the High Frequency (HF) band, is influenced predominantly by a phenomenon known as respiratory sinus arrhythmia. […]

All About HRV Part 3: Frequency Domain Analysis

Last time we talked about the IBI series and how it is built from the detected R peaks on the ECG signal. Time-domain HRV statistics can be derived directly from the IBI series, but further processing is needed to extract specific frequencies of beat-to-beat variation. Most notable of these frequencies […]