@@ -74,10 +74,10 @@ def hrv_time(peaks, sampling_rate=1000, show=False, **kwargs):
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Frequency (LF/HF) Ratio (Sollers et al., 2007).
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* **Prc20NN**: The 20th percentile of the RR intervals (Han, 2017; Hovsepian, 2015).
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* **Prc80NN**: The 80th percentile of the RR intervals (Han, 2017; Hovsepian, 2015).
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- * **pNN50**: The proportion of RR intervals greater than 50ms, out of the total number of
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- RR intervals .
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- * **pNN20**: The proportion of RR intervals greater than 20ms, out of the total number of
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- RR intervals .
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+ * **pNN50**: The percentage of absolute differences in successive RR intervals greater than
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+ 50 ms (Bigger et al., 1988; Mietus et al., 2002) .
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+ * **pNN20**: The percentage of absolute differences in successive RR intervals greater than
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+ 20 ms (Mietus et al., 2002) .
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* **MinNN**: The minimum of the RR intervals (Parent, 2019; Subramaniam, 2022).
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* **MaxNN**: The maximum of the RR intervals (Parent, 2019; Subramaniam, 2022).
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* **TINN**: A geometrical parameter of the HRV, or more specifically, the baseline width of
@@ -111,6 +111,9 @@ def hrv_time(peaks, sampling_rate=1000, show=False, **kwargs):
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References
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----------
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+ * Bigger Jr, J. T., Kleiger, R. E., Fleiss, J. L., Rolnitzky, L. M., Steinman, R. C., & Miller,
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+ J. P. (1988). Components of heart rate variability measured during healing of acute myocardial
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+ infarction. The American journal of cardiology, 61(4), 208-215.
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* Pham, T., Lau, Z. J., Chen, S. H. A., & Makowski, D. (2021). Heart Rate Variability in
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Psychology: A Review of HRV Indices and an Analysis Tutorial. Sensors, 21(12), 3998.
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https://doi.org/10.3390/s21123998
@@ -123,6 +126,8 @@ def hrv_time(peaks, sampling_rate=1000, show=False, **kwargs):
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towards a gold standard for continuous stress assessment in the mobile environment. In
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Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous
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computing (pp. 493-504).
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+ * Mietus, J. E., Peng, C. K., Henry, I., Goldsmith, R. L., & Goldberger, A. L. (2002). The pNNx
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+ files: re-examining a widely used heart rate variability measure. Heart, 88(4), 378-380.
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* Parent, M., Tiwari, A., Albuquerque, I., Gagnon, J. F., Lafond, D., Tremblay, S., & Falk, T.
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H. (2019). A multimodal approach to improve the robustness of physiological stress prediction
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during physical activity. In 2019 IEEE International Conference on Systems, Man and
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