In physiology and life sciences, researchers rely on a wide range of signals to gather data from humans and animals. These signals provide critical insight into how complex organisms function under a myriad of conditions. However, this wealth of potential data sources can also present a challenge for researchers: choosing the right signals on which to focus their data gathering. For those lacking a background in the disciplines and mechanisms behind these signals, sifting through the available methodology can be overwhelming. The best place to begin is by considering one or a combination of the “Big Three” physiological signals: ECG, EDA, and respiration.
Life is a series of events—some are planned while others catch us completely by surprise. This holds true in the lab where the quality of experiments and data depend on accurately identifying, tracking, and sorting key events as they occur. Events like the introduction of stimuli and a test subject’s reaction directly impact data.
The global COVID-19 pandemic made in-person lab work impossible under many circumstances and difficult in the best of conditions. Now, as researchers and students begin to return to the lab, an opportunity presents itself for a fresh start. One way in which labs are refreshing their approach to research and education is by adding software and equipment that allows for the automation of procedures and analysis with the goal of increasing repeatability and reproducibility within experiments and research.