scholarly journals Influence of Artefact Correction and Recording Device Type on the Practical Application of a Non-Linear Heart Rate Variability Biomarker for Aerobic Threshold Determination

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 821
Author(s):  
Bruce Rogers ◽  
David Giles ◽  
Nick Draper ◽  
Laurent Mourot ◽  
Thomas Gronwald
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Reverse Direction ◽  
Fluctuation Analysis ◽  
Recording Device ◽  
Threshold Method ◽  
Aerobic Threshold ◽  
Threshold Determination ◽  
Non Linear ◽  
Artefact Correction

Recent study points to the value of a non-linear heart rate variability (HRV) biomarker using detrended fluctuation analysis (DFA a1) for aerobic threshold determination (HRVT). Significance of recording artefact, correction methods and device bias on DFA a1 during exercise and HRVT is unclear. Gas exchange and HRV data were obtained from 17 participants during an incremental treadmill run using both ECG and Polar H7 as recording devices. First, artefacts were randomly placed in the ECG time series to equal 1, 3 and 6% missed beats with correction by Kubios software’s automatic and medium threshold method. Based on linear regression, Bland Altman analysis and Wilcoxon paired testing, there was bias present with increasing artefact quantity. Regardless of artefact correction method, 1 to 3% missed beat artefact introduced small but discernible bias in raw DFA a1 measurements. At 6% artefact using medium correction, proportional bias was found (maximum 19%). Despite this bias, the mean HRVT determination was within 1 bpm across all artefact levels and correction modalities. Second, the HRVT ascertained from synchronous ECG vs. Polar H7 recordings did show an average bias of minus 4 bpm. Polar H7 results suggest that device related bias is possible but in the reverse direction as artefact related bias.

Non-linear analysis of heart rate variability for evaluating the acute effects of caffeinated beverages in young adults

2020 ◽  
Vol 30 (7) ◽  
pp. 1018-1023 ◽  
Author(s):  
Serife G. Caliskan ◽  
Mehmet D. Bilgin
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Young Adults ◽  
Approximate Entropy ◽  
Energy Drink ◽  
High Rate ◽  
Largest Lyapunov Exponent ◽  
Fluctuation Analysis ◽  
Electrocardiogram Signals ◽  
Non Linear

AbstractCaffeinated beverages are the most consumed substances in the world. High rate of uptake of these beverages leads to various cardiovascular disorders ranging from palpitations to coronary failure. The objective of the study is to ascertain how the complexity parameters of heart rate variability are affected by acute consumption of caffeinated beverages in young adults.Electrocardiogram measurements were performed before consuming drinks. After consuming the drinks, measurements were done again at 30 minutes and 60 minutes. Heart rate variability signals were acquired from electrocardiogram signals. Also, the signals were reconstructed in the phase space and largest Lyapunov exponent, correlation dimension, approximate entropy, and detrended fluctuation analysis values were calculated.Heart rate increased for energy drink and cola groups but not in coffee group. Non-linear parameter values of energy drink, coffee, and cola group are increased within 60 minutes after drink consumption. This change is statistically significant just for energy drink group.Energy drink consumption increases the complexity of the cardiovascular system in young adults significantly. Coffee and cola consumption have no significant effect on the non-linear parameters of heart rate variability.

Interdependency between heart rate variability and sleep EEG: linear/non-linear?

2004 ◽  
Vol 115 (9) ◽  
pp. 2031-2040 ◽  
Author(s):  
Martine Dumont ◽  
Fabrice Jurysta ◽  
Jean-Pol Lanquart ◽  
Pierre-François Migeotte ◽  
Philippe van de Borne ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sleep Eeg ◽  
Non Linear

scholarly journals Non-linear indices of heart rate variability during endodontic treatment

2016 ◽  
Vol 30 (1) ◽  
Author(s):  
Milana Drumond Ramos SANTANA ◽  
Ivo Cavalcante PITA NETO ◽  
Eli Carlos MARTINIANO ◽  
Larissa Raylane Lucas MONTEIRO ◽  
José Lucas Souza RAMOS ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Endodontic Treatment ◽  
Non Linear

scholarly journals A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback

2020 ◽  
Vol 14 ◽  
Author(s):  
Fred Shaffer ◽  
Zachary M. Meehan
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Resonance Frequency ◽  
Muscle Tension ◽  
Initial Assessment ◽  
Cardiorespiratory System ◽  
Frequency Model ◽  
Heart Rate Variability Biofeedback ◽  
Resonance Frequencies ◽  
Non Linear

Heart rate variability (HRV) represents fluctuations in the time intervals between successive heartbeats, which are termed interbeat intervals. HRV is an emergent property of complex cardiac-brain interactions and non-linear autonomic nervous system (ANS) processes. A healthy heart is not a metronome because it exhibits complex non-linear oscillations characterized by mathematical chaos. HRV biofeedback displays both heart rate and frequently, respiration, to individuals who can then adjust their physiology to improve affective, cognitive, and cardiovascular functioning. The central premise of the HRV biofeedback resonance frequency model is that the adult cardiorespiratory system has a fixed resonance frequency. Stimulation at rates near the resonance frequency produces large-amplitude blood pressure oscillations that can increase baroreflex sensitivity over time. The authors explain the rationale for the resonance frequency model and provide detailed instructions on how to monitor and assess the resonance frequency. They caution that patterns of physiological change must be compared across several breathing rates to evaluate candidate resonance frequencies. They describe how to fine-tune the resonance frequency following an initial assessment. Furthermore, the authors critically assess the minimum epochs required to measure key HRV indices, resonance frequency test-retest reliability, and whether rhythmic skeletal muscle tension can replace slow paced breathing in resonance frequency assessment.

Sign in / Sign up

Export Citation Format

Share Document