Key result
Short-term time domain and absolute power frequency domain HRV measures are more sensitive to added artifact than long-term, normalized, relative, and most nonlinear measures.
Why the study?
Which heart rate variability measures are most sensitive to the addition of artifact in 24-hour cardiac recordings?
Which heart rate variability measures are most sensitive to the addition of artifact in 24-hour cardiac recordings?
RMSSD, SDANN, SDNN, and most nonlinear HRV measures are robust to artifacts, whereas short-term time domain and absolute power frequency domain measures are highly sensitive, guiding the selection of HRV metrics in clinical recordings.
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Artifact may bias short-term HRV metrics in 24-h recordings; leaves open prospective validation of robust alternatives.
Stapelberg et al. (2017) studied Heart rate variability analysis (n=40). Addition of artifact (simulated deletion and insertion of RR intervals) was evaluated on Sensitivity to artifact determined by the magnitude of slope in regression analysis. Short-term time domain and absolute power frequency domain HRV measures are more sensitive to added artifact than long-term, normalized, relative, and most nonlinear measures.
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