References

Al-Naggar, N. Q., Al-Hammadi, H. M., Al-Fusail, A. M., & Al-Shaebi, Z. A. (2019). Design of a Remote Real-Time Monitoring System for Multiple Physiological Parameters Based on Smartphone. Journal of healthcare engineering, 2019, 5674673. https://doi.org/10.1155/2019/5674673 

Das, S., Pal, S., & Mitra, M. (2017). Arduino-based noise robust online heart-rate detection. Journal of medical engineering & technology, 41(3), 170–178. https://doi.org/10.1080/03091902.2016.1271044 

Delorme, A., & Makeig, S. (2004). EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of neuroscience methods, 134(1), 9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009 

Delorme, A., Mullen, T., Kothe, C., Akalin Acar, Z., Bigdely-Shamlo, N., Vankov, A., & Makeig, S. (2011). EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing. Computational intelligence and neuroscience, 2011, 130714. https://doi.org/10.1155/2011/130714 

Goljahani, A., Bisiacchi, P., & Sparacino, G. (2014). An EEGLAB plugin to analyze individual EEG alpha rhythms using the “channel reactivity-based method”. Computer methods and programs in biomedicine, 113(3), 853–861. https://doi.org/10.1016/j.cmpb.2013.12.010 

Milstein, N., & Gordon, I. (2020). Validating Measures of Electrodermal Activity and Heart Rate Variability Derived From the Empatica E4 Utilized in Research Settings That Involve Interactive Dyadic States. Frontiers in behavioral neuroscience, 14, 148. https://doi.org/10.3389/fnbeh.2020.00148 

Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006). Heart rate variability: a review. Medical & biological engineering & computing, 44(12), 1031–1051. https://doi.org/10.1007/s11517-006-0119-0
 

Just another onMason site