Journal: MethodsX
Article Title: Best practices for physiological data collection in youth with autism and co-occurring mental health diagnoses: Implications for human-animal intervention research
doi: 10.1016/j.mex.2025.103284
Figure Lengend Snippet: Representation of the percentage of usable data from n = 60 youth with ASD that completed the 10 week THR intervention. Baseline intervention data was collected in weeks one through Mid-point, intervention data was collected at weeks five through seven, and post-intervention data at weeks 8–10.
Article Snippet: Reagents/tools: , Electrocardiogram Devices: The primary measure that needs to be captured are the R-R intervals for calculating heart rate variability measures (i.e., RMSSD). Multiple devices meet these needs and are research friendly which we have listed below. • BioPac BioNomadix Wireless ECG Monitor with a Physiology Data Logger (optional) • Shimmer3 ECG Unit • AdInstruments Equivital Wearable ECG • iWorx ROAM Wireless ECG • Zephyr Bioharness • Equivital Electrodermal Activity: Electrodermal sensors that allow the user to place gelled electrode patches in select locations should be utilized. Those that wrap the fingers should be avoided. • BioPac BioNomadix Wireless PPG and EDA Monitor with Physiologial Data Logger (optional) • Shimmer3 GSR/EDA Unit • AdInstruments Equivital Galvanic Skin Response Sensor • iWorx ROAM Wireless Biopotential & GSR Recorder Software: The analysis of dynamic ECG or EDA data should be performed on software that allows for appropriate cleaning of the data with ≤5 % artifact. • BioPac AcqKnowledge Software (ECG & EDA) • MATLAB Based Software (ECG & EDA) • LabView Based Software (ECG & EDA) • ADInstruments LabChart & HRV Analysis Software (ECG & EDA) • Kubios (ECG).
Techniques:
