Quantification of Heart Rate Variability (HRV) Data using Symbolic Entropy to Distinguish between Healthy and Disease Subjects

Renumadhavi, C. H.; Ananth, A.G.

doi:10.5120/1258-1770

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…PSI reflects the load to the heart based on SDNN or Mean HRT. ApEn has recently been introduced to estimate the complexity of HRV and irregularity within a series of pulses [ 18 – 20 ], with higher values indicating a stressful condition [ 18 , 21 ]. Second, the following frequency-domain HRV variables were also obtained: TP, VLF, LF, HF, LF norm, HF norm, and LF/HF ratio.…”

Section: Discussionmentioning

confidence: 99%

Orthostatic Dysregulation during Postural Change on the Dental Chair and Intraoperative Monitoring by Heart Rate Variability Analysis

Momota

Tomioka

Furukita

et al. 2014

Case Reports in Dentistry

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This is the first case report of orthostatic dysregulation (OD) manifested during postural change on the dental chair and intraoperatively monitored by heart rate variability (HRV) analysis. OD-associated autonomic dysfunction is induced by postural changes and easily leads to disturbance in circulatory dynamics; however, most dental practices have not yet realized the importance of managing OD. We measured autonomic activity in a patient with OD during dental therapy and assessed the clinical significance of HRV analysis for OD. The patient was a 17-year-old Japanese female. She was diagnosed with impacted wisdom teeth and had no previous history of a distinct systemic disease. A surgical procedure to extract the teeth was safely performed under both local anesthesia and sedation with nitrous oxide and midazolam. After the surgery, her postural change to sitting induced orthostatic hypotension. HRV variables showed parasympathetic dominance due to the upright position. Subsequently, her posture was returned to supine, and atropine sulfate administration for the immediate treatment of OD returned her blood pressure to normal levels. HRV variables showed relative sympathetic dominance due to an atropine-derived parasympathetic blockade. HRV analysis revealed OD-associated autonomic dysfunction and should become a standard tool for safe and secure dental management of OD.

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Section: Discussionmentioning

confidence: 99%

Orthostatic Dysregulation during Postural Change on the Dental Chair and Intraoperative Monitoring by Heart Rate Variability Analysis

Momota

Tomioka

Furukita

et al. 2014

Case Reports in Dentistry

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show abstract

“…Following previous research which emphasized that cardiac dynamics change first before disease becomes apparent (i.e. Dekker et al, 2000;Heitmann et al, 2010;Huikuri et al, 1998;RenuMadhavi & Ananth, 2012), only healthy, premenopausal subjects were included in the study. The period of deep sleep was used for analysis, as cardiac dynamics during this time without external distraction are considered the best indicator of baseline status/ dynamics.…”

Section: Introductionmentioning

confidence: 99%

Psihofiziološke promjene uzrokovane smjenskim radom

Tokić

2023

Suvrem. psihol. (Online)

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Shift work is considered a risk factor for health problems due to the continuous desynchronization and resynchronization of circadian rhythms. This study used heart rate measurement during sleep to determine whether shift work, and different length of this work, affects nonlinear aspects of cardiovascular dynamics, indicators of the autonomous nervous system, in healthy shift workers. The study included 48 healthy, premenopausal, female participants (nurses) divided in two groups of equal age and length of service. One group worked in a three-shift rotation system and the other (control) worked only the day shift. Cardiac activity (R-R intervals) was monitored continuously during sleep using the Data Logging System. Cardiac activity was recorded in both day and shift workers at night after the second consecutive day shift. Results showed that shift workers with up to 10 years of service had higher values of correlation dimension than the equivalent group of day workers but shift workers with more than 10 years of service had lower values of correlation dimension than comparable groups of day workers. All shift workers, regardless of length of service, had significantly higher indices of determinism than day workers, but the index of determinism slightly enlarges with increased years of services. Generally, it seems that shift work has a negative impact on cardiovascular dynamics from the very beginning, and nonlinear parameters of cardiovascular dynamics can be potential predictors of future health problems.

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“…The parameters like r, for calculating ApE must be selected carefully as explained in [8]. SyE quantifies the complexity of physiological time series data [9]. SpE represents the spectral complexity of the time series data and describes the spread of power spectrum [10].…”

Section: Introductionmentioning

confidence: 99%

“…The concept here is to convert the time domain signal into a sequence of symbols based on a predefined threshold. The Shannon entropy of these symbols itself is the SyE[9]. SyE for time domain signal ( ) is calculated as follows.…”

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confidence: 99%

Application of Entropy Techniques in Analyzing Heart Rate Variabilityusing ECG Signals

Srinivasa¹

2019

IJRITCC

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The variation of the heart rate about a mean value is the Heart Rate Variability (HRV). HRV reflects the functioning of cardio-respiratory control system. It is used as one of the diagnostic measures to detect heart disorders. In the proposed work, HRV analysis using entropy measures is carried out on healthy, Congestive Heart Failure (CHF) and Atrial Fibrillations (AF) subjects using their ECG signals. The entropy methods used in the work are Approximate entropy (ApE), Symbolic entropy (SyE) and Spectral entropy (SpE). ECG signals of 20 healthy subjects in the age group of 21 – 30 years were acquired using dry electrode at a sampling rate of 500 Hz for 10 minutes. Signal processing algorithms for removal of baseline wandering, power line interference and motion artefacts were applied for the raw ECG signal. The ECG signals for CHF and AF subjects in the age group of 30 – 75 years were obtained from the Physionet database. From the analysis it was found that values of ApE and SyE were highest for AF subjects and for SpE, the value was highest for healthy subjects. Further, values of all the three entropies were lowest for CHF subjects. In conclusion, it indicates that the entropy techniques are useful tools in diagnosing patients having heart disorders.

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Quantification of Heart Rate Variability (HRV) Data using Symbolic Entropy to Distinguish between Healthy and Disease Subjects

Cited by 6 publications

References 3 publications

Orthostatic Dysregulation during Postural Change on the Dental Chair and Intraoperative Monitoring by Heart Rate Variability Analysis

Orthostatic Dysregulation during Postural Change on the Dental Chair and Intraoperative Monitoring by Heart Rate Variability Analysis

Psihofiziološke promjene uzrokovane smjenskim radom

Application of Entropy Techniques in Analyzing Heart Rate Variabilityusing ECG Signals

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