Task-State Heart Rate Variability Parameter- Based Depression Detection Model and Effect of Therapy on the Parameters

Abstract Funding Acknowledgements Centre of Postgraduate Medical Education No. 501-1-10-14-19 Background. Cardioneuroablation (CNA) - ablation of ganglionated plexi (GP) to eliminate or reduce parasympathetic overactivity, has been recently proposed as a new therapeutic method in patients with vaso-vagal syncope (VVS) due to cardioinhibitory or mixed mechanism. Purpose. To assess the impact of CNA on the type of VV response during tilt testing (TT). Methods. The study group consisted of the first 20 patients (7 males, mean age 38 ± 9 – year – old) enrolled in the ongoing prospective Roman study (NCT 03903744). All patients had a history of ECG documented syncope due to asystole and confirmed asystolic form of VVS at baseline TT. CNA was performed using electroanatomical system Carto 3 and radiofrequency applications delivered in the right and left atrium at the right anterior GP and right inferior GP sites. The second TT was performed three months later. Resting heart rate (HR) and heart rate variability parameter (SDDN) were also assessed. Results. At baseline TT, nineteen patients had cardioinhibitory syncope (asystole ranging from 3 to 60 s) (sinus node arrest – 17 patients, A-V block – 2 patients) and 1 had mixed form of VVS (asystole lasting 3 s preceded by hypotension). During three-month follow-up no syncopal episodes were noted. At the 3-month TT, 6 (30 %) patients had no syncope whereas the remaining 13 (65 %) had syncope – twelve (60 %) due to vasodepressor mechanism and only one (5 %) due to asystole - as before CNA. One patient did not have TT because of pregnancy. Mean resting HR after CNA was significantly faster and SDNN significantly lower than before the procedure (82 ± 9 vs 69 ± 11 beats/min, p = 0.0004 and 74 ± 22 vs 143 ± 40 ms, p = 0.00003, respectively) and these changes were was similar in those who fainted during second TT and those who did not (82 ± 11 vs 81 ± 4 beats/min, p = NS and (75 ± 2 vs 77 ± 18 ms, p = NS, respectively). Conclusions. CNA profoundly affects the type of VV reaction causing normalization of the response to tilting or changing cardiodepression to vasodepression. These effects are also depicted by changes in HR and heart rate variability. Elimination of TT-induced reflex asystole may prevent clinical recurrences of syncope during short-term follow-up. These findings encourage to conduct further studies involving CNA since this method appears to be effective and obviates the need for pacemaker implantation in young people with reflex asystolic syncope.

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Model Construction of Using Physiological Signals to Detect Mental Health Status

Journal of Healthcare Engineering ◽

10.1155/2021/8544750 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Xiaoqian Liu

Keyword(s):

Mental Health ◽

Heart Rate ◽

Heart Rate Variability ◽

Health Status ◽

Sliding Window ◽

Physiological Signals ◽

Health State ◽

Detection Model ◽

Physiological Signal ◽

State Detection

Background. Mental health is a direct indicator of human mental activity, and it also affects all aspects of the human body. It plays a very important role in monitoring human mental health. Objectives. To design a mental health state detection model based on physiological signals to detect human mental health. Methods. For the detection of mental health, the sliding window method is used to divide the physiological signal dataset and the corresponding time into several segments and then calculate the physiological signal data in the sliding window for each physiological signal to form a sequence of characteristic values; according to the heart rate variability of the physiological signal, the heart rate variability (HRV) is extracted from the interval spectrum waveform: through the discrete trend analysis in statistics, the change characteristics of the ECG signal are analyzed, and the sequence statistical indicators of the physiological signal are calculated. With the help of a support vector machine used for the significant accuracy with less computation power, the physiological signals of the mental state are classified, and the discriminant function of the mental health state signals is normalized. A mental health state detection model is constructed according to the index system, the optimal solution of the model is obtained through the optimization function, and the mental health state detection is completed. Result. The detection error of the proposed model is less which improves the detection accuracy and is less time consuming. Conclusion. The detection model using physiological signals is proposed to evaluate the mental health status. As compared to the other detection models, its detection time is short and method error is always less than 2% which shows its accuracy and effectiveness.

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Using Heart Rate Variability Parameter-Based Feature Transformation Algorithm for Driving Stress Recognition

Advanced Intelligent Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24728-6_72 ◽

2011 ◽

pp. 532-537 ◽

Cited By ~ 1

Author(s):

Jeen-Shing Wang ◽

Che-Wei Lin ◽

Ya-Ting C. Yang

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Heart Rate Variability Parameter ◽

Feature Transformation ◽

Transformation Algorithm ◽

Stress Recognition

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Prediction of exercise capacity in heart failure patients during pacing therapy using a new 2-D heart rate variability parameter

Journal of Cardiac Failure ◽

10.1016/s1071-9164(98)90119-1 ◽

1998 ◽

Vol 4 (3) ◽

pp. 32 ◽

Cited By ~ 1

Author(s):

Gerrard Carlson ◽

Angelo Auricchio ◽

Stefan Sack ◽

Veerichetty Kadhiresan ◽

Walter Horsch ◽

...

Keyword(s):

Heart Failure ◽

Heart Rate ◽

Heart Rate Variability ◽

Exercise Capacity ◽

Heart Rate Variability Parameter ◽

Heart Failure Patients

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COVID-19 Lockdown in Wuhan: Heart Rate Variability in Females and Males – A Pilot Study

10.21926/obm.icm.2101009 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Gerhard Litscher ◽

◽

Tong Li ◽

Fengxia Liang

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Pilot Study ◽

Heart Rate Variability Parameter ◽

State Of Health ◽

General State ◽

Better Than

In a pioneer transcontinental pilot study conducted with 50 volunteers, it was revealed that women could have apparently overcome the world's toughest lockdown in terms of changes in the general state of health measured using the heart rate variability parameter better than men. The results of the present study obtained in Wuhan provide information on the initial trend in this regard.

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Severe Cardiac Autonomic Derangement and Altered Ventricular Repolarization Pave the Way to Postoperative Atrial Fibrillation

Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery ◽

10.1097/imi.0000000000000203 ◽

2015 ◽

Vol 10 (6) ◽

pp. 398-405 ◽

Cited By ~ 4

Author(s):

Jurij Matija Kališnik ◽

Eva Hrovat ◽

Alenka Hrastovec ◽

Viktor Avbelj ◽

Janez Žibert ◽

...

Keyword(s):

Atrial Fibrillation ◽

Heart Rate ◽

Heart Rate Variability ◽

Detrended Fluctuation Analysis ◽

Postoperative Atrial Fibrillation ◽

Fluctuation Analysis ◽

Heart Rate Variability Parameter ◽

Qtc Interval ◽

Increased Risk ◽

Detrended Fluctuation

Objective Postoperative atrial fibrillation (POAF) is a frequent complication after heart surgery. It has been shown that cardiac autonomic derangement plays a significant role in the genesis of atrial fibrillation (AF) and that AF might also be promoted by altered repolarization. Thus, the aim of our study was to determine the levels of cardiac autonomic modulation and repolarization properties in patients developing POAF. Methods Seventy-nine patients scheduled for aortic and/or coronary artery bypass grafting surgery with cardiopulmonary bypass were enrolled prospectively. High-resolution 20-minute electrocardiogram recordings were obtained day before surgery to determine P, PR, QT, and QTc intervals, as well as linear (time and frequency domain) and nonlinear heart rate variability parameters (fractal dimension and detrended fluctuation analysis). QTc interval was calculated using Framingham correction. Results Twenty-nine patients developed POAF (AF group), and 50 did not (non-AF group). Groups were similar regarding demographics, surgery type, and perioperative characteristics, except for older age in the AF group. QT and QTc intervals (Framingham) were longer in the AF group [442 (44) vs 422 (28) milliseconds, P = 0.018; and 448 (44) vs 431 (24) milliseconds, P = 0.031 and P = 0.019, respectively]. Time domain heart rate variability parameter PNN50 (percentage of pairs of adjacent NN intervals differing >50 milliseconds) was higher [14% (21%) vs 8% (16%), P = 0.015], and nonlinear parameter detrended fluctuation analysis α2 was lower in the AF group [0.81 (0.21) vs 0.91 (0.20), P = 0.031]. Conclusions Profound cardiac autonomic derangement, suggestive of parasympathetic excessive modulation, exists preoperatively in patients inclined to POAF after cardiac surgery, whereby parameters PNN50 and α2 differentiated the AF from the non-AF group. Prolonged QTc intervals are associated with an increased risk of POAF.

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Abstract P125: Interaction Effects of Diabetes and Subclinical Hypothyroidism on Heart Rate Variability. The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Circulation ◽

10.1161/circ.141.suppl_1.p125 ◽

2020 ◽

Vol 141 (Suppl_1) ◽

Author(s):

Rosangela Hoshi ◽

Itamar S Santos ◽

Eduardo Dantas ◽

Rodrigo Andreao ◽

Bruce Duncan ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Longitudinal Study ◽

Thyroid Function ◽

Subclinical Hypothyroidism ◽

Interaction Effects ◽

Heart Rate Variability Parameter ◽

Adult Health ◽

Normal Thyroid ◽

Normal Thyroid Function

Background: Diabetes and subclinical hypothyroidism are frequently coexisting conditions. The separated effects of each one on the cardiovascular system and cardio autonomic function are known. However, it has not been investigated yet whether the presence of both diseases has a joint influence on the cardiac autonomic system. As the autonomic nervous system is involved in cardiovascular, endocrine, and metabolic control, the association of diabetes and subclinical hypothyroidism might have combined effects, leading to cardio autonomic impairment and rising cardiovascular risk. Aim: To analyze the interaction effects of diabetes and subclinical hypothyroidism on Heart Rate Variability parameters among adults. using the participants enrolled at the baseline data of t Methods: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a cohort of 15015 men and women aged 35 to 74 years-old recruited in 2008-10. Participants were categorized into four groups: non-diabetes with normal thyroid function (controls), non-diabetes with subclinical hypothyroidism; diabetes with normal thyroid function; and diabetes with subclinical hypothyroidism. Heart Rate Variability analyses were performed in time and frequency domains: Standard Deviation of NN interval (SDNN); Root of the Mean of the Sum of the Squares of Differences between adjacent NN intervals (RMSSD, Low-Frequency (LF) and High-Frequency (HF) on 5-minute time series collected in the supine position. For each Heart Rate Variability parameter, we divided the sample into quartile groups, using the fourth quartile as reference. We analyzed the associations with the highest quartile group for each Heart Rate Variability parameter using additive and multiplicative terms in logistic models. Results: Point Odds Ratio, and 95% Confidence Intervals (95%CI) estimates for the first quartiles of all Heart Rate Variability measures were higher for subjects with the combination of both, “diabetes plus subclinical hypothyroidism” than for people with only the diagnosis of diabetes: SDNN: 2.61 (95%CI = 1.13 to 6.05) vs. 1.52 (95%CI =1.25 to 1.85); RMSSD: 2.70 (95%CI =1.18 to 6.18) vs. 1.48 (95%CI =1.21 to 1.80); LF: 2.82 (95%CI =1.05 to 7.56) vs. 1.73 (95%CI =1.40 to 2.13); HF: 3.07 (95%CI =1.21 to 7.75) vs. 1.41 (95%CI =1.16 to 1.71). Nonetheless, no significant multiplicative interaction terms between diabetes and subclinical hypothyroidism were found for the association with HRV variables. Conclusion: There is a potential joint impact on Heart Rate Variability showed by additive effects between diabetes and subclinical hypothyroidism.

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The effects of Watsu therapy on autonomic cardiovascular modulation and flexibility of children with cerebral palsy

Baltic Journal of Health and Physical Activity ◽

10.29359/bjhpa.12.4.03 ◽

2020 ◽

Vol 12 (4) ◽

pp. 21-32

Author(s):

ERTAN TUFEKCIOGLU

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Cerebral Palsy ◽

Range Of Motion ◽

Heart Rate Variability Parameter ◽

Common Belief ◽

Short Term ◽

Children With Cerebral Palsy ◽

Rate Sensor ◽

To Receive

Background: We aimed to compare and examine the effect of aquatic interventions, Watsu® vs Immersion, on the autonomic nervous system and the range of motion in children with cerebral palsy, due to common belief that use of Watsu is beneficial for the special needs. Material and methods: Twenty-three children (age 7.5±2.8) were randomized to receive Watsu® therapy and Immersion interventions in the cross-over, age-stratified study. Each therapy session lasted 30 minutes twice a week for a total of 10 weeks in two non-consecutive periods. Short-term heart rate variability parameters by using a Polar H7 heart rate sensor with a signal processing software and the passive range of motion by using a universal goniometer was measured at baseline and post-treatment. Results: Watsu® therapy significantly improved the heart rate variability parameter (pNN50, t = 2.312, p = 0.031) and lower flexibility (t = 6.012, p = 0.000) in comparison to immersion. Conclusions: In comparison to immersion, Watsu® therapy was shown to be safe and effective for the autonomic modulation and flexibility of children with cerebral palsy. Therefore, it is recommended as a complementary tool for physical therapy on land.

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