scholarly journals The Classification of the Heart Rate Variability Using Radon Transform with Back-Propagation Neural Networks

2020 ◽  
Vol 5 (6) ◽  
pp. 974-978
Author(s):  
Mohammed H.Almourish ◽  
Nishwan. A.Al-khulaidi ◽  
Amin A Mokbel ◽  
Ahmed Y A Saeed
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Radon Transform ◽  
Sympathetic Activity ◽  
Back Propagation ◽  
Parasympathetic Activity ◽  
Binary Matrix ◽  
Cardiac Parasympathetic Activity ◽  
Artificial Neural Network Ann ◽  
Hidden Layer

This paper will present an algorithm for Heart Rate Variability HRV signals classifications. In this algorithm we used Radon transform of binary matrix of scatter-gram of heart rate HRV signals to extract features of binary matrix. Artificial neural network (ANN) technique with back-propagation networks (BPN) was used for binary matrix features classifications. Radon transform with 90 projections was selected because it presented the best inverse Radon transform that gave a closer image of the original scatter-gram. The optimum numbers of neurons in the hidden layer of BPN is 145 was obtained. Two databases were formed, one for training and the second for testing the accuracy of the BPN to recognize on types of heart rate variability. The two database consist of HRV signal pathologies, sympathetic activity, normal cardiac, parasympathetic activity, arrhythmia, availability problem with breath, existence of stress and the composition of these pathologies. This algorithm present the accuracy of diagnosis for sympathetic activity, normal cardiac, parasympathetic activity, arrhythmia, availability problem with breath and existence of stress were 97,396%, 98,438%, 100%, 94,792%, 87,3265% and 91,146% respectively.

Effect of provocative maneuvers on heart rate variability in subjects with quadriplegia

1995 ◽  
Vol 268 (6) ◽  
pp. H2239-H2245 ◽  
Author(s):  
D. R. Grimm ◽  
R. E. DeMeersman ◽  
R. P. Garofano ◽  
A. M. Spungen ◽  
W. A. Bauman
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sympathetic Activity ◽  
Spectral Component ◽  
Low Frequency ◽  
Power Spectral Analysis ◽  
Parasympathetic Activity ◽  
Power Spectral ◽  
Spectral Components ◽  
Male Subjects

This study investigated heart rate variability (HRV) in individuals with quadriplegia who have disruption of autonomic control of the heart. Seven male subjects with neurological complete quadriplegia and seven with incomplete quadriplegia were studied at rest and during provocation. HRV was measured by power spectral analysis using a fast Fourier transform. Two spectral components were generated: 1) the high-frequency (HF) peak, a reflection of parasympathetic activity, and 2) the low-frequency (LF) peak, primarily sympathetic activity with some parasympathetic input. Results of the provocative maneuvers were grouped into one composite variable. Significant differences in the LF spectral component were found between the groups with complete and incomplete lesions in the supine position and after provocation (LF supine: P = 0.01; LF provocation: P = 0.002). After provocation, significant differences were demonstrated in the HF spectral component between these groups (P = 0.005). In contrast to previous findings, a LF component in subjects with complete quadriplegia was observed; this LF component decreased after provocation, suggesting the parasympathetic component withdrew during stressful maneuvers. There also appeared to be general downregulation of parasympathetic activity to the heart in subjects with complete quadriplegia. The presence of an increased LF spectral component during provocation in those with incomplete lesions implies sympathetic stimulation of the heart and may be used as a marker of sympathetic activity in individuals with quadriplegia.

Assessment of heart rate variability for different somatotype category among adolescents

2018 ◽  
Vol 30 (3) ◽  
Author(s):  
Senthil Kumar Subramanian ◽  
Vivek Kumar Sharma ◽  
Rajathi Rajendran
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sympathetic Activity ◽  
Parasympathetic Activity ◽  
Age Group ◽  
Autonomic Tone ◽  
Non Invasive ◽  
Invasive Test ◽  
Obesity And Overweight ◽  
The Time Domain

Abstract Background Somatotype is a quantified expression of the morphological conformation of a person in terms of three-numeral rating each representing one component; fat (endomorphy), muscle mass (mesomorphy) and bone length (ectomorphy) in the same order. Certain somatotypes are more prone to develop the particular disease. Obesity and overweight are already epidemic among Indian adolescents and are increasing at an alarming rate, and obesity is linked to cardiovascular (CV) risk in this age group. Identifying the heart rate variability (HRV) is an established non-invasive test to identify the CV risk. The objective of this study is to record the HRV data for each somatotype category and to compare the HRV data among these somatotype categories in adolescents. Methods The volunteer adolescents in the age group of 12–17 years were classified into a different somatotyping categories based on the Heath Carter somatotyping method. The short-term HRV was recorded in all the subjects using wireless BioHarness 3.0. Results Based on the time domain and frequency domain parameters, the parasympathetic activity showed decreasing order as follows: central>ectomorphy>mesomorphy>endomorphy, whereas sympathetic activity showed increasing order as follows: central<ectomorphy<mesomorphy<endomorphy in both boys and girls. Girls have higher parasympathetic activity and lesser sympathetic activity than boys in ectomorphy and mesomorphy. In the central somatotype and endomorphy categories, genders were comparable. Conclusion Our study suggests that endomorphy and mesomorphy have poorer autonomic tone when compared to other somatotype categories.

scholarly journals Sleep Deprivation Deteriorates Heart Rate Variability and Photoplethysmography

2021 ◽  
Vol 15 ◽  
Author(s):  
Nicolas Bourdillon ◽  
Fanny Jeanneret ◽  
Masih Nilchian ◽  
Patrick Albertoni ◽  
Pascal Ha ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sleep Deprivation ◽  
Sympathetic Activity ◽  
Cardiovascular Health ◽  
Cardiovascular Responses ◽  
Vigilance Task ◽  
Parasympathetic Activity ◽  
Subjective Fatigue ◽  
Partial Sleep Deprivation

IntroductionSleep deprivation has deleterious effects on cardiovascular health. Using wearable health trackers, non-invasive physiological signals, such as heart rate variability (HRV), photoplethysmography (PPG), and baroreflex sensitivity (BRS) can be analyzed for detection of the effects of partial sleep deprivation on cardiovascular responses.MethodsFifteen participants underwent 1 week of baseline recording (BSL, usual day activity and sleep) followed by 3 days with 3 h of sleep per night (SDP), followed by 1 week of recovery with sleep ad lib (RCV). HRV was recorded using an orthostatic test every morning [root mean square of the successive differences (RMSSD), power in the low-frequency (LF) and high-frequency (HF) bands, and normalized power nLF and nHF were computed]; PPG and polysomnography (PSG) were recorded overnight. Continuous blood pressure and psychomotor vigilance task were also recorded. A questionnaire of subjective fatigue, sleepiness, and mood states was filled regularly.ResultsRMSSD and HF decreased while nLF increased during SDP, indicating a decrease in parasympathetic activity and a potential increase in sympathetic activity. PPG parameters indicated a decrease in amplitude and duration of the waveforms of the systolic and diastolic periods, which is compatible with increases in sympathetic activity and vascular tone. PSG showed a rebound of sleep duration, efficiency, and deep sleep in RCV compared to BSL. BRS remained unchanged while vigilance decreased during SDP. Questionnaires showed an increased subjective fatigue and sleepiness during SDP.ConclusionHRV and PPG are two markers easily measured with wearable devices and modified by partial sleep deprivation, contradictory to BRS. Both markers showed a decrease in parasympathetic activity, known as detrimental to cardiovascular health.

scholarly journals A232 AUTONOMIC FUNCTION ANALYSIS VIA HEART RATE VARIABILITY ASSOCIATED WITH PROPULSIVE MOTOR PATTERNS OF THE HUMAN COLON

2021 ◽  
Vol 4 (Supplement_1) ◽  
pp. 280-282
Author(s):  
M Ali ◽  
L Liu ◽  
J Chen ◽  
J D Huizinga
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Motor Activity ◽  
Sympathetic Activity ◽  
Function Analysis ◽  
Motor Pattern ◽  
Human Colon ◽  
Parasympathetic Activity ◽  
Motor Patterns ◽  
Sinus Arrhythmia

Abstract Background Although parasympathetic activity is the primary driver of colonic propulsive activity, and sympathetic activity a major inhibitor of colonic motility, they are rarely measured and almost play no role in diagnosis of dysfunction or standard treatments. Aims Our aim was to develop assessment of autonomic nervous system activity associated with the major propulsive motor patterns, an essential part of defecation reflexes in the human colon orchestrated by neural reflexes. Methods One hundred and forty-five motor patterns were recorded from eleven healthy volunteers using high resolution colonic manometry (HRCM) with concurrent electro- and impedance cardiography to evaluate changes in parameters of heart rate variability (HRV). Results High-amplitude propagating pressure waves (HAPWs) that often start in the proximal colon, traverse distally and end with anal sphincter relaxation, were associated with a 8.2% (P&lt;0.02) increase in the respiratory sinus arrhythmia (RSA) value, a 24.6% increase in the root mean square of successive differences of beat to beat intervals (RMSSD), indicated a strong parasympathetic reactivity that subsided within 2 min of termination of the HAPW (Figure 1). The measure of sympathetic reactivity to motor patterns was best reflected by the Baevsky Stress Index (or Sympathetic Index, SI) that reduced by 45% (P&lt;0.02). We developed a measure of autonomic balance, the SI/RSA ratio that changed from 18.8 to 8.7 (54%; P&lt;0.01) during motor activity and recovered to 16.1 immediately after (P&lt;0.005). The SI/RMSSD reduced by 65% (P&lt;0.01). When HAPWs occurred in quick succession, the parasympathetic activity showed rhythmicity at the HAPW frequency that slowly terminated when motor activity stopped. During motor activity, the heart rate did not significantly change. Conclusions The major propulsive motor pattern of the human colon, the HAPW as measured by HRCM that is part of the major defecation reflexes, is associated with marked changes in parasympathetic and sympathetic activity that is reflected and measurable as heart rate variability parameters. This opens the way to evaluate autonomic dysfunction in patients with colon motor disorders. Funding Agencies CIHRNSERC, Farncombe Institute

scholarly journals Role of increased sympathetic activity in the genesis of ambulatory ischemia: Spectral analysis of heart rate variability

1996 ◽  
Vol 27 (2) ◽  
pp. 398-399
Author(s):  
Tohru Kaji ◽  
Tetsuro Kohya ◽  
Fumishi Tomita ◽  
Tomohide Ono ◽  
Akira Kitabatake
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Sympathetic Activity

scholarly journals Effect of Hypoglycemia on Heart Rate Variability in People with Type 1 Diabetes and Impaired Awareness of Hypoglycemia

2021 ◽  
pp. 193229682110074
Author(s):  
Mats Koeneman ◽  
Marleen Olde Bekkink ◽  
Lian van Meijel ◽  
Sebastian Bredie ◽  
Bastiaan de Galan
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
High Frequency ◽  
Sympathetic Activity ◽  
Elevated Risk ◽  
Wilcoxon Rank Sum Test ◽  
Impaired Awareness ◽  
Induced Changes ◽  
Measurable Change

Background: People with impaired awareness of hypoglycemia (IAH) are at elevated risk of severe, potentially hazardous, hypoglycemia and would benefit from a device alerting to hypoglycemia. Heart rate variability (HRV) changes with hypoglycemia due to sympathetic activity. Since IAH is associated with suppressed sympathetic activity, we investigated whether hypoglycemia elicits a measurable change in HRV in patients with T1D and IAH. Method: Eligible participants underwent a modified hyperinsulinemic euglycemic hypoglycemic clamp (glucose nadir, 43.1 ± 0.90 mg/dl), while HRV was measured by a VitalConnect HealthPatch. Measurements of HRV included Root Mean Square of the Successive Differences (RMSSD) and low to high frequency (LF:HF) ratio. Wilcoxon rank-sum test was used for testing within-subject HRV changes. Results: We included 12 participants (8 female, mean age 57 ± 12 years, mean HbA1c 57 ± 5 mmol/mol (7.4 ± 0.4%)). Symptoms increased from 4.0 (1.5-7.0) at euglycemia to 7.5 (5.0-11.0) during hypoglycemia ( P = .003). In response to hypoglycemia, the LF:HF ratio and RMSSD increased when normalized for data obtained during euglycemia (both P < .01). The LF:HF ratio increased in 6 participants (50%) and declined in one other participant (8%). The RMSSD decreased in 3 (25%) and increased in 4 (33%) participants. In 2 patients, no change in HRV could be detected in response to hypoglycemia. Conclusions: This study reveals that hypoglycemia-induced changes in HRV are retained in the majority of people with T1D and IAH, and that these changes can be detected by a wearable device. Real-time HRV seems usable for detection of hypoglycemia in patients with IAH.

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