Central serous chorioretinopathy and heart rate variability analysis with a smartphone application

Abstract The purpose of this study was to quantitatively analyze heart rate variability (HRV) in patients with central serous chorioretinopathy (CSC) by using a smartphone-based application (ANBAI: DUMSCO Inc.) for measurement, and to clarify its relationships with CSC. The subjects were 64 CSC patients (mean age 48.7 ± 7.6 years, 57 males and 7 females). After providing consent, the patients downloaded ANBAI apps to their smartphones. HRV was measured by photoelectric volume pulse wave measurement with a smartphone camera each morning for a minimum of 1 week. The primary outcome was to analyze HRV by calculating log LF/HF (Low Frequency/High Frequency components), an index of autonomic tone, which was then compared with a control group of 35,226 individuals from the application. Secondary outcome measures included disease duration, body mass index, exercise habits, smoking history, steroid use, occupation, lifestyle regularity, psychological fatigue, physical fatigue, and average sleep time. The log LF/HF was significantly higher in the patient group than in the control group (P < 0.001). Log LF/HF was significantly lower in patients with exercise habits as a factor contributing to log LF/HF in the patient group (P = 0.019). Analysis of HRV in CSC patients showed an impairment of the autonomic nervous system. Exercise habits may also be associated with CSC.

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Sample Size Determination for Evaluation of Time Domain Heart Rate Variability Indices in Canine Lameness

Journal of the American Animal Hospital Association ◽

10.5326/jaaha-ms-6533 ◽

2018 ◽

Vol 54 (5) ◽

pp. 235-238

Author(s):

Melanie J. Hezzell ◽

Jonathan Ferrari ◽

Jason Arndt ◽

Margaret Sleeper

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Sample Size ◽

Time Domain ◽

Sample Size Determination ◽

University Of Pennsylvania ◽

Control Group ◽

Autonomic Tone ◽

The University ◽

Veterinary Hospital

ABSTRACT Heart rate variability (HRV) is a physiologic phenomenon that occurs due to changing autonomic tone resulting in variable RR intervals. A reduction in HRV is used as an index of pain in neonatal human patients. Objective measures of pain would be valuable in the evaluation of canine patients and assessment of response to pain management strategies. We hypothesized that dogs with diseases associated with discomfort (osteoarthritis and bone neoplasia) would have reduced HRV compared with normal, healthy dogs. The aim of the study was to calculate the sample size necessary to investigate this hypothesis. Seventeen dogs from the Ryan Veterinary Hospital of the University of Pennsylvania patient population or owned by Ryan Veterinary Hospital of the University of Pennsylvania staff were enrolled in this single-blind, prospective pilot study. A 30 min electrocardiogram (ECG) was obtained from each dog using an ambulatory electrocardiographic monitor. All ECGs were obtained between 10 a.m. and 2 p.m. ECGs were analyzed and time-domain HRV indices computed. Sample size calculations suggest that 207 dogs would be necessary to ascertain if HRV is reduced in dogs experiencing discomfort or pain (50 in the arthritis group, 79 in the bone cancer group, and 78 in the control group).

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Peculiarities of the autonomic balance assessed through heart rate variability analysis in sportsmen and nonsportsmen

Zbornik Matice srpske za prirodne nauke ◽

10.2298/zmspn0814017b ◽

2008 ◽

pp. 17-25 ◽

Cited By ~ 1

Author(s):

Oto Barak ◽

Oleg Glazacev ◽

Helena Dudnik ◽

Irina Korobeinikova ◽

Aleksandar Klasnja ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Frequency Domain ◽

Control Group ◽

Heart Rate Variability Analysis ◽

Autonomic Balance ◽

Basketball Players ◽

Significant Difference ◽

The Difference ◽

Novi Sad

A comparative study was used to analyze the difference in autonomic balance assessed by time and frequency domain parameters of heart rate variability (HRV) between students athletes and non-sportsmen. Five-minute digital ECG trays were recorded in 21 students - athletes, 10 basketball players recruited from first league clubs of No- vi Sad and the Serbian representatives and 11 rowers from the Novi Sad rowing club 'Danubius'. The control group was formed by 15 non-sportsmen, students of the Medical faculty in Novi Sad who underwent the same registrations. Time and frequency-domain of HRV were analyzed by a software developed by the company 'Neurosoft', VNS-Spektr, Ivanovo, Russia. Resting heart rate in athletes was significantly lower (p < 0.01) than in non-sportsmen. In time-domain parameters HRV significantly higher values were present in the group of sportsmen as opposed to non-sportsmen RRNN (p < 0.01), RMSSD (p < 0.02) and pNN50 (p < 0.01). In frequency-domain of HRV statistically significant difference between the two groups was observed only in normalized values of LF and HF (p < 0.05) and their ratio LF/HF (p < 0.02). LFn was larger in non-sportsmen than in students-athletes. On the other hand HFn was larger in athletes than in non-sportsmen. The LF/HF ratio was larger in non-sportsmen (2.87 0.34) than in athletes (1.91 0.20). After dividing the athletes recruited for this investigation into two groups (basketball players and rowers) significant level of difference (p < 0.05) in HRV data was present only in the VLF spectrum (2060.55 290.68 ms2 for rowers and 1303.30 ? 169.95 ms2 for basketball players).

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Heart rate variability analysis with daily monitoring of electrocardiograms in children with chronic non-obstructive pyelonephritis

Pediatrician (St Petersburg) ◽

10.17816/ped8512-19 ◽

2017 ◽

Vol 8 (5) ◽

pp. 12-19 ◽

Cited By ~ 1

Author(s):

Natalia S. Zhuravleva ◽

Vladimir N. Buryak ◽

Oksana S. Pokusaeva ◽

Veronika L. Babich

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Standard Procedure ◽

Autonomic Regulation ◽

Control Group ◽

Heart Rate Variability Analysis ◽

Chronic Obstructive ◽

Healthy Children ◽

Urinary System ◽

Obstructive Pyelonephritis

Condition of the autonomic nervous system reflects the characteristics of the autonomic regulation of the activities of various functional systems. In order to determine possible violations of the autonomic regulation of the functional activity of the urinary system there was held some timing and spectral parameters of heart rate variability of 53 children aged 7 to 14 years old with chronic unobstructive pyelonephritis. The diagnosis of chronic obstructive pyelonephritis was set in accordance with the code N11.0 ICD-10. The control group consisted of 30 almost healthy children. In order to investigate the autonomic regulation of examined children’s urinary system vegetative status was determined using Holter ECG according to a standard procedure. By use of the complex DX-AKM-03ArNika (Kharkiv, Ukraine) registration of bioelectric potentials formed as electrocardiointervals was provided. Based on the results obtained, a database was developed, further analyzed in the computer program ArNika V 2.0 (Medibase). As a result of the survey of children with chronic unobstructive pyelonephritis established the presence of autonomic dysfunction with a predominance of sympathetic over parasympathetic component. This children’s chronic unobstructive pyelonephritis is characterized by initial vegetative tone in form of sympathicotonia, vagotonia and amphotonia, which is a prerequisite for searching for methods of individualizing treatment approaches depending on the vegetative tone.

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Assessment of Stress Level of Young Undergraduates Before and After a Degree Examination Using Heart Rate Variability Analysis

European Journal of Medical and Health Sciences ◽

10.24018/ejmed.2021.3.5.1008 ◽

2021 ◽

Vol 3 (5) ◽

pp. 1-6

Author(s):

A. Obi ◽

E. O. Nwobodo ◽

U. Dimkpa ◽

S. O. Maduka ◽

E. Fintan

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Stress Test ◽

Test Group ◽

Sixth Grade ◽

Control Group ◽

Heart Rate Variability Analysis ◽

Stress Indicator ◽

Coherence Score ◽

Before And After

This study aimed at assessing the value of heart rate variability (HRV) as a stress indicator before and after a final re-sit exam among healthy sixth grade medical students. Fifty participants were recruited for the study (test group, n = 30; control group, n = 20). Each participant was examined for 5 minutes pre and post exam periods using the Heartmath proprietary protocol. EmWave equipment was used to detect, record and analyze the HR and to plot out the variability in discrete percentages for low, medium and high coherences. Results indicated that mean percentage coherence score was significantly higher in the test group (p < 0.05) at low cardiac coherence domain, but lower (p < 0.05) at the high coherence domain, compared with the control. Coherence score was significantly higher (p < 0.05) after the exam indicating release from stress, as compared to before the examination when stress was observable among the exam candidates. There were no significant gender differences observed in cardiac coherence scores before and after examination. Our findings indicate that HRV is a reliable indicator of real-time exam stress and supports future clinical use of HRV as a non-invasive and simple stress test.

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Heart rate variability analysis obtained from implantable cardioverter defibrillator: A new diagnostic tool

EP Europace ◽

10.1016/s1099-5129(01)80317-2 ◽

2001 ◽

Vol 2 ◽

pp. A79-A79

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Implantable Cardioverter Defibrillator ◽

Diagnostic Tool ◽

Heart Rate Variability Analysis ◽

Cardioverter Defibrillator ◽

Variability Analysis

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Heart Rate Variability Analysis in the Assessment of Autonomic Function in Heart Failure

10.21236/ada425014 ◽

2004 ◽

Author(s):

Marla J. De Jong ◽

David C. Randall

Keyword(s):

Heart Failure ◽

Heart Rate ◽

Heart Rate Variability ◽

Autonomic Function ◽

Heart Rate Variability Analysis ◽

Variability Analysis

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Field Monitoring the Effects of Overnight Shift Work on Specialist Tactical Police Training with Heart Rate Variability Analysis

Sustainability ◽

10.3390/su13147895 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7895

Author(s):

Colin Tomes ◽

Ben Schram ◽

Robin Orr

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Shift Work ◽

Emergency Response ◽

Police Training ◽

Heart Rate Variability Analysis ◽

Response Team ◽

Hrv Analysis ◽

And Performance ◽

Personnel Allocation

Police work exposes officers to high levels of stress. Special emergency response team (SERT) service exposes personnel to additional demands. Specifically, the circadian cycles of SERT operators are subject to disruption, resulting in decreased capacity to compensate in response to changing demands. Adaptive regulation loss can be measured through heart rate variability (HRV) analysis. While HRV Trends with health and performance indicators, few studies have assessed the effect of overnight shift work on HRV in specialist police. Therefore, this study aimed to determine the effects overnight shift work on HRV in specialist police. HRV was analysed in 11 SERT officers and a significant (p = 0.037) difference was found in pRR50 levels across the training day (percentage of R-R intervals varying by >50 ms) between those who were off-duty and those who were on duty the night prior. HRV may be a valuable metric for quantifying load holistically and can be incorporated into health and fitness monitoring and personnel allocation decision making.

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Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy

Scientific Reports ◽

10.1038/s41598-021-85350-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Adriana Leal ◽

Mauro F. Pinto ◽

Fábio Lopes ◽

Anna M. Bianchi ◽

Jorge Henriques ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Linear Time ◽

Epileptic Seizures ◽

Heart Rate Variability Analysis ◽

Drug Resistant ◽

Clustering Methods ◽

Temporal Lobe Seizures ◽

New Perspective ◽

Drug Resistant Epilepsy

AbstractElectrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure’s clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same patient. In this study, we performed a heart rate variability (HRV) analysis to investigate the discriminative power of the features of HRV in the identification of the preictal interval. HRV information extracted from the linear time and frequency domains as well as from nonlinear dynamics were analysed. We inspected data from 238 temporal lobe seizures recorded from 41 patients with drug-resistant epilepsy from the EPILEPSIAE database. Unsupervised methods were applied to the HRV feature dataset, thus leading to a new perspective in preictal interval characterization. Distinguishable preictal behaviour was exhibited by 41% of the seizures and 90% of the patients. Half of the preictal intervals were identified in the 40 min before seizure onset. The results demonstrate the potential of applying clustering methods to HRV features to deepen the current understanding of the preictal state.

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Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis

Sensors ◽

10.3390/s21093235 ◽

2021 ◽

Vol 21 (9) ◽

pp. 3235

Author(s):

Koichi Fujiwara ◽

Shota Miyatani ◽

Asuka Goda ◽

Miho Miyajima ◽

Tetsuo Sasano ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Mean Squared Error ◽

False Positive Rate ◽

Premature Ventricular Contraction ◽

Heart Rate Variability Analysis ◽

Unified Framework ◽

Atrial Contraction ◽

Premature Atrial Contraction ◽

Positive Rate

Heart rate variability, which is the fluctuation of the R-R interval (RRI) in electrocardiograms (ECG), has been widely adopted for autonomous evaluation. Since the HRV features that are extracted from RRI data easily fluctuate when arrhythmia occurs, RRI data with arrhythmia need to be modified appropriately before HRV analysis. In this study, we consider two types of extrasystoles—premature ventricular contraction (PVC) and premature atrial contraction (PAC)—which are types of extrasystoles that occur every day, even in healthy persons who have no cardiovascular diseases. A unified framework for ectopic RRI detection and a modification algorithm that utilizes an autoencoder (AE) type of neural network is proposed. The proposed framework consists of extrasystole occurrence detection from the RRI data and modification, whose targets are PVC and PAC. The RRI data are monitored by means of the AE in real time in the detection phase, and a denoising autoencoder (DAE) modifies the ectopic RRI caused by the detected extrasystole. These are referred to as AE-based extrasystole detection (AED) and DAE-based extrasystole modification (DAEM), respectively. The proposed framework was applied to real RRI data with PVC and PAC. The result showed that AED achieved a sensitivity of 93% and a false positive rate of 0.08 times per hour. The root mean squared error of the modified RRI decreased to 31% in PVC and 73% in PAC from the original RRI data by DAEM. In addition, the proposed framework was validated through application to a clinical epileptic seizure problem, which showed that it correctly suppressed the false positives caused by PVC. Thus, the proposed framework can contribute to realizing accurate HRV-based health monitoring and medical sensing systems.

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