Chronic fatigue syndrome and hidden happenings of the heartbeat

Goldberger, Ary L.

doi:10.1007/s10286-002-0054-6

Cited by 5 publications

(1 citation statement)

References 11 publications

(16 reference statements)

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“…Non-linear analysis technics and metrics try to catch non-linear dynamics properties that characterize complex systems. Heart rate fluctuations (RRI time series) are the result of a complex process including a complex system that is the heart (Goldberger, 1996, 2002) inside the human body and several influencing environmental factors. These recent tools seem to be more sensitive and precise to describe cardiac and clinical status and to assess the associated prognosis in different diseases (Huikuri et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Mental Workload Alters Heart Rate Variability, Lowering Non-linear Dynamics

et al. 2019

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Mental workload is known to alter cardiovascular function leading to increased cardiovascular risk. Nevertheless, there is no clear autonomic nervous system unbalance to be quantified during mental stress. We aimed to characterize the mental workload impact on the cardiovascular function with a focus on heart rate variability (HRV) non-linear indexes. A 1-h computerized switching task (letter recognition) was performed by 24 subjects while monitoring their performance (accuracy, response time), electrocardiogram and blood pressure waveform (finger volume clamp method). The HRV was evaluated from the beat-to-beat RR intervals (RRI) in time-, frequency-, and informational- domains, before (Control) and during the task. The task induced a significant mental workload (visual analog scale of fatigue from 27 ± 26 to 50 ± 31 mm, p < 0.001, and NASA-TLX score of 56 ± 17). The heart rate, blood pressure and baroreflex function were unchanged, whereas most of the HRV parameters markedly decreased. The maximum decrease occurred during the first 15 min of the task (P1), before starting to return to the baseline values reached at the end of the task (P4). The RRI dimension correlation (D2) decrease was the most significant (P1 vs. Control: 1.42 ± 0.85 vs. 2.21 ± 0.8, p < 0.001) and only D2 lasted until the task ended (P4 vs. Control: 1.96 ± 0.9 vs. 2.21 ± 0.9, p < 0.05). D2 was identified as the most robust cardiovascular variable impacted by the mental workload as determined by posterior predictive simulations ( p = 0.9). The Spearman correlation matrix highlighted that D2 could be a marker of the generated frustration ( R = –0.61, p < 0.01) induced by a mental task, as well as the myocardial oxygen consumption changes assessed by the double product ( R = –0.53, p < 0.05). In conclusion, we showed that mental workload sharply lowered the non-linear RRI dynamics, particularly the RRI correlation dimension.

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Section: Introductionmentioning

confidence: 99%