Key result
A novel cumulant ratio integrating EEG and HRV dynamics systematically approached zero with increasing depth of anesthesia (by 29.09%, 65.0%, and 98.41% for the first, second, and third cumulants).
Why the study?
Combining EEG and HRV can improve evaluation of brain function, but the irregular time spans between heartbeats make HRV difficult to directly fuse with EEG time series.
Does a bimodal index integrating EEG and HRV reflect the depth of anesthesia in healthy-brain patients undergoing operation?
Does a bimodal index integrating EEG and HRV reflect the depth of anesthesia in healthy-brain patients undergoing operation?
A novel bimodal index combining EEG and HRV multifractality properties can effectively monitor the depth of anesthesia.
Hypothesis-generating for EEG-HRV cumulant ratio as anesthesia depth marker; prospective validation needed before clinical adoption.
Supplemental information captured from HRV can provide deeper insight into nervous system function and consequently improve evaluation of brain function. Therefore, it is of interest to combine both EEG and HRV. However, irregular nature of time spans between adjacent heartbeats makes the HRV hard to be directly fused with EEG timeseries. Current study performed a pioneering work in integrating EEG-HRV information in a single marker called cumulant ratio, quantifying how far EEG dynamics deviate from self-similarity compared to HRV dynamics. Experimental data recorded using BrainStatus device with single ECG and 10 EEG channels from healthy-brain patients undergoing operation (N = 20) were used for the validation of the proposed method. Our analyses show that the EEG to HRV ratio of first, second and third cumulants gets systematically closer to zero with increase in depth of anesthesia, respectively 29.09%, 65.0% and 98.41%. Furthermore, extracting multifractality properties of both heart and brain activities and encoding them into a 3-sample numeric code of relative cumulants does not only encapsulates the comparison of two evenly and unevenly spaced variables of EEG and HRV into a concise unitless quantity, but also reduces the impact of outlying data points.
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Bahador et al. (2021) studied Patients undergoing operation (n=20). Cumulant ratio of EEG and HRV was evaluated on Change in EEG to HRV ratio of cumulants with depth of anesthesia. A novel cumulant ratio integrating EEG and HRV dynamics systematically approached zero with increasing depth of anesthesia (by 29.09%, 65.0%, and 98.41% for the first, second, and third cumulants).
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