Effect of exercise mode on heart rate variability during steady state exercise

Leicht, Anthony S.; Sinclair, Wade H.; Spinks, Warwick L.

doi:10.1007/s00421-007-0574-9

Cited by 56 publications

(74 citation statements)

References 43 publications

(79 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition to the significant differences of absolute spectral powers the increase of SDNN also demonstrates the distinct autonomic HR modulation under the different contraction modes. Together, these results speak for an increased dual autonomic cardiac modulation under ISO and supports evidence from recent studies [7,24,67]. Complementary to traditional HRV measures, entropy was significantly decreased during ISO, pointing towards an enhanced regularity of the heart beat series [37,[40][41][42].…”

Section: Discussionsupporting

confidence: 86%

“…Leicht and his associates compared the cardiovascular response to dynamic muscular activity of different muscle groups at 50% maximum HR (HRmax) and 65% HRmax, respectively. They have found greater HRV despite lower oxygen consumption during upper body dynamic exercise compared to lower or whole body dynamic exercise at similar HR and concluded that greater HRV may represent increased vagal or dual autonomic modulation [24]. Cottin et al compared HRV indices during a judo randori vs. ergometer cycling eliciting the same HR level [25].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sample Entropy and Traditional Measures of Heart Rate Dynamics Reveal Different Modes of Cardiovascular Control During Low Intensity Exercise

Weippert

Behrens

Rieger

et al. 2014

Entropy

View full text Add to dashboard Cite

Nonlinear parameters of heart rate variability (HRV) have proven their prognostic value in clinical settings, but their physiological background is not very well established. We assessed the effects of low intensity isometric (ISO) and dynamic (DYN) exercise of the lower limbs on heart rate matched intensity on traditional and entropy measures of HRV. Due to changes of afferent feedback under DYN and ISO a distinct autonomic response, mirrored by HRV measures, was hypothesized. Five-minute inter-beat interval measurements of 43 healthy males (26.0 ± 3.1 years) were performed during rest, DYN and ISO in a randomized order. Blood pressures and rate pressure product were higher during ISO vs. DYN (p < 0.001). HRV indicators SDNN as well as low and high frequency power were significantly higher during ISO (p < 0.001 for all measures). Compared to DYN, sample entropy (SampEn) was lower during ISO (p < 0.001). Concluding, contraction mode itself is a significant modulator of the autonomic cardiovascular response to exercise. Compared to DYN, ISO evokes a stronger blood pressure response and an enhanced interplay between both autonomic branches. Non-linear HRV measures indicate a more regular behavior under ISO. Results support the view of the reciprocal antagonism being OPEN ACCESSEntropy 2014, 16 5699 only one of many modes of autonomic heart rate control. Under different conditions; the identical "end product" heart rate might be achieved by other modes such as sympathovagal co-activation as well.

show abstract

Section: Discussionsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Sample Entropy and Traditional Measures of Heart Rate Dynamics Reveal Different Modes of Cardiovascular Control During Low Intensity Exercise

Weippert

Behrens

Rieger

et al. 2014

Entropy

View full text Add to dashboard Cite

show abstract

“…The exercise-evoked HRV changes could potentially provide disease-related information [11] but may easily be overlooked by single laboratory assessments that usually do not last long. A couple of previous studies have examined acute HRV changes induced by different activity patterns, e.g., intense exercise or low-intensity exercise, isometric or dynamic exercise [12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Entropy Analysis of Short-Term Heartbeat Interval Time Series during Regular Walking

Shi

Zhang

Yuan

et al. 2017

Entropy

View full text Add to dashboard Cite

Entropy measures have been extensively used to assess heart rate variability (HRV), a noninvasive marker of cardiovascular autonomic regulation. It is yet to be elucidated whether those entropy measures can sensitively respond to changes of autonomic balance and whether the responses, if there are any, are consistent across different entropy measures. Sixteen healthy subjects were enrolled in this study. Each subject undertook two 5-min ECG measurements, one in a resting seated position and another while walking on a treadmill at a regular speed of 5 km/h. For each subject, the two measurements were conducted in a randomized order and a 30-min rest was required between them. HRV time series were derived and were analyzed by eight entropy measures, i.e., approximate entropy (ApEn), corrected ApEn (cApEn), sample entropy (SampEn), fuzzy entropy without removing local trend (FuzzyEn-g), fuzzy entropy with local trend removal (FuzzyEn-l), permutation entropy (PermEn), conditional entropy (CE), and distribution entropy (DistEn). Compared to resting seated position, regular walking led to significantly reduced CE and DistEn (both p ≤ 0.006; Cohen's d = 0.9 for CE, d = 1.7 for DistEn), and increased PermEn (p < 0.0001; d = 1.9), while all these changes disappeared after performing a linear detrend or a wavelet detrend (<~0.03 Hz) on HRV. In addition, cApEn, SampEn, FuzzyEn-g, and FuzzyEn-l showed significant decreases during regular walking after linear detrending (all p < 0.006; 0.8 < d < 1), while a significantly increased ApEn (p < 0.0001; d = 1.9) and a significantly reduced cApEn (p = 0.0006; d = 0.8) were observed after wavelet detrending. To conclude, multiple entropy analyses should be performed to assess HRV in order for objective results and caution should be paid when drawing conclusions based on observations from a single measure. Besides, results from different studies will not be comparable unless it is clearly stated whether data have been detrended and the methods used for detrending have been specified.

show abstract

“…Een so 'n tegniek is die berekening van harttempo-variasie (HTV) wat die meting van die variasie in die lengte van die RR-interval behels (die tyd wat verloop tussen opeenvolgende hartkontraksies) (Chen et al 2010;Pagani et al 1986; Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology 1996; Lewis et al 2007;Leicht, Sinclair & Spinks 2008). Hierdie tegniek verskaf ook inligting oor die werking van die outonome senustelsel (OSS) (Chen et al 2010;Leicht et al 2008;Lewis et al 2007).…”

Section: Inleidingunclassified

“…Hierdie tegniek verskaf ook inligting oor die werking van die outonome senustelsel (OSS) (Chen et al 2010;Leicht et al 2008;Lewis et al 2007). …”

Section: Inleidingunclassified

Die uitwerking van ’n intensiewe afrigtingsprogram op die kardiostresindeks

Toit

Wood

Grant

et al. 2014

Suid-Afrikaanse Tydskr Natuurwetenskap Tegnol

View full text Add to dashboard Cite

Rekrute in die gewapende magte word met talle stressors gekonfronteer, onder meer 'n strawwe opleidingsprogram wat 'n impak op hul fisiologiese funksionering kan hê. Die kardiostresindeks (KSI) is 'n nie-indringende merker van die stres wat die hart ervaar. Die berekening van die KSI is gebaseer op die duur van vaskulêre eksitasie (duur van QRS), hartkloptempo, hartritme en die standaardafwyking van die tyd wat verloop tussen elke opeenvolgende kardiale siklus (RRinterval). Die doel van die huidige studie was om die fisiologiese impak van 20 weke van strawwe opleiding op rekrute te toets, met behulp van KSI as 'n nie-indringende biomerker van kardiostres. Proefnemings is by drie geleenthede tydens die basiese militêre opleiding van rekrute, tussen die ouderdomme van 18 en 24 jaar, in die gewapende magte onderneem (week 1, week 12 en week 20) (n = 202, manlik = 115, vroulik = 87). Veranderlikes wat gemeet is, het die volgende ingesluit: rustende KSI, hartkloptempo (HKT) en bloeddruk. Data-analise is uitgevoer deur middel van gepaarde t-toetse ten einde die volgende pare te vergelyk: week 1 (basislyn) met week 12; week 12 met week 20; en week 1 met week 20. Wat die manlike rekrute betref, was die gemiddelde KSI en harttempo by al drie toetse binne normale perke. Die basislynwaardes vir vroulike rekrute was in betekenisvolle mate hoër in die eerste week. Daar was 'n algehele afname van die KSI oor die hele tydperk van 20 weke. Uit hierdie studie wil dit voorkom asof die meting van die KSI 'n nieindringende metode is om die uitwerking van afrigting op die hart te bepaal. InleidingMense ervaar talle stressors wat 'n uitwerking op hul fisiologiese en sielkundige funksionering het. Hierdie stressors kan geklassifiseer word as sielkundig, fisies, intern of ekstern (Aghamohamadi et al. 2010; Energy-Lab Technologies GmbH n.d.). Chroniese geestelike stres is 'n sielkundige stressor; ooreising en oormatige afrigting word as fisieke stressors geklassifiseer; infeksies en ongesteldheid word geklassifiseer as interne stressors, terwyl hitte of koue en geraas voorbeelde is van eksterne stressors (Energy-Lab Technologies GmbH n.d.). Veeleisende lewenstyle, wat al die genoemdeInfluence of intense training program on cardio stress index. Armed service recruits are faced with many stressors, including a strenuous training regimen that may have an impact on their physiological functioning. The Cardio Stress Index (CSI) is a noninvasive marker of the stress that the heart is experiencing. The aim of the study was to test the physiological impact of 20 weeks of intense training of armed service recruits, using CSI as a noninvasive biomarker of cardiac stress. Armed service recruits are faced with many stressors, including a strenuous training regimen that may have an impact on their physiological functioning. The CSI is a noninvasive marker of the stress that the heart is experiencing. The calculation of the CSI is based on the duration of vascular excitation (QRS duration), heart rate, heart rhythm and standard deviation of the dura...

show abstract

Effect of exercise mode on heart rate variability during steady state exercise

Cited by 56 publications

References 43 publications

Sample Entropy and Traditional Measures of Heart Rate Dynamics Reveal Different Modes of Cardiovascular Control During Low Intensity Exercise

Sample Entropy and Traditional Measures of Heart Rate Dynamics Reveal Different Modes of Cardiovascular Control During Low Intensity Exercise

Entropy Analysis of Short-Term Heartbeat Interval Time Series during Regular Walking

Die uitwerking van ’n intensiewe afrigtingsprogram op die kardiostresindeks

Contact Info

Product

Resources

About