scholarly journals Heart rate detection properties of dry-electrode ECG compared to conventional 3-lead gel-electrode ECG in newborns

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Hanne Pike ◽  
Joar Eilevstjønn ◽  
Peder Bjorland ◽  
Jørgen Linde ◽  
Hege Ersdal ◽  
...  
Keyword(s):  
Heart Rate ◽  
Birth Weight ◽  
Full Range ◽  
Mean Difference ◽  
Ecg Signal ◽  
Dry Electrode ◽  
Data Points ◽  
Study Population ◽  
The Mean ◽  
Electrocardiogram Ecg

Abstract Objective To compare the accuracy of heart rate detection properties of a novel, wireless, dry-electrode electrocardiogram (ECG) device, NeoBeat®, to that of a conventional 3-lead gel-electrode ECG monitor (PropaqM®) in newborns. Results The study population had a mean gestational age of 39 weeks and 2 days (1.5 weeks) and birth weight 3528 g (668 g). There were 950 heart rate notations from each device, but heart rate was absent from the reference monitor in 14 of these data points, leaving 936 data pairs to compare. The mean (SD) difference when comparing NeoBeat to the reference monitor was -0.25 (9.91) beats per minute (bpm) (p = 0.44). There was a deviation of more than 10 bpm in 7.4% of the data pairs, which primarily (78%) was attributed to ECG signal disturbance, and secondly (22%) due to algorithm differences between the devices. Excluding these outliers, the correlation was equally consistent (r2 = 0.96) in the full range of heart rate captured measurements with a mean difference of − 0.16 (3.09) bpm. The mean difference was less than 1 bpm regardless of whether outliers were included or not.

scholarly journals An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Qin Qin ◽  
Jianqing Li ◽  
Yinggao Yue ◽  
Chengyu Liu
Keyword(s):  
Detection Algorithm ◽  
Peak Detection ◽  
Time Interval ◽  
Detection Accuracy ◽  
Ecg Signal ◽  
Peak Detection Algorithm ◽  
Wavelet Multiresolution Analysis ◽  
The Mean ◽  
Electrocardiogram Ecg ◽  
Mean Time

R-peak detection is crucial in electrocardiogram (ECG) signal analysis. This study proposed an adaptive and time-efficient R-peak detection algorithm for ECG processing. First, wavelet multiresolution analysis was applied to enhance the ECG signal representation. Then, ECG was mirrored to convert large negative R-peaks to positive ones. After that, local maximums were calculated by the first-order forward differential approach and were truncated by the amplitude and time interval thresholds to locate the R-peaks. The algorithm performances, including detection accuracy and time consumption, were tested on the MIT-BIH arrhythmia database and the QT database. Experimental results showed that the proposed algorithm achieved mean sensitivity of 99.39%, positive predictivity of 99.49%, and accuracy of 98.89% on the MIT-BIH arrhythmia database and 99.83%, 99.90%, and 99.73%, respectively, on the QT database. By processing one ECG record, the mean time consumptions were 0.872 s and 0.763 s for the MIT-BIH arrhythmia database and QT database, respectively, yielding 30.6% and 32.9% of time reduction compared to the traditional Pan-Tompkins method.

scholarly journals Fractal Based Analysis of the Influence of Odorants on Heart Activity

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Hamidreza Namazi ◽  
Vladimir V. Kulish
Keyword(s):  
Heart Rate ◽  
Heart Diseases ◽  
Approximate Entropy ◽  
Ecg Signal ◽  
Heart Activity ◽  
Heart Research ◽  
Olfactory Stimuli ◽  
Important Challenge ◽  
External Stimuli ◽  
Electrocardiogram Ecg

Abstract An important challenge in heart research is to make the relation between the features of external stimuli and heart activity. Olfactory stimulation is an important type of stimulation that affects the heart activity, which is mapped on Electrocardiogram (ECG) signal. Yet, no one has discovered any relation between the structures of olfactory stimuli and the ECG signal. This study investigates the relation between the structures of heart rate and the olfactory stimulus (odorant). We show that the complexity of the heart rate is coupled with the molecular complexity of the odorant, where more structurally complex odorant causes less fractal heart rate. Also, odorant having higher entropy causes the heart rate having lower approximate entropy. The method discussed here can be applied and investigated in case of patients with heart diseases as the rehabilitation purpose.

scholarly journals Comparison of Two Techniques of Superior Vena Cava Flow Measurement in Preterm Infants With Birth Weight <1,250 g in the Transitional Period—Prospective Observational Cohort Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Jan Miletin ◽  
Zbynek Stranak ◽  
Niamh Ó Catháin ◽  
Jan Janota ◽  
Jana Semberova
Keyword(s):  
Birth Weight ◽  
Flow Measurement ◽  
Superior Vena ◽  
Vena Cava ◽  
Observational Cohort Study ◽  
Mean Difference ◽  
Prospective Observational Cohort Study ◽  
Limits Of Agreement ◽  
Observational Cohort ◽  
The Mean

Objectives: Superior Vena Cava (SVC) flow in neonates measured by the standard approach has been validated by different groups around the world. The modified SVC flow measurement technique was recently suggested. The aim of our study was to evaluate standard and modified technique of echocardiography SVC flow measurement in a cohort of extremely preterm neonates in the immediate postnatal period.Methods: Prospective, observational cohort study in a level III neonatal center. Infants with birth weight &lt;1,250 g were eligible for enrolment. SVC flow was measured by echocardiography using standard and modified methods at 6, 18 and 36 h of age. Our primary outcome was equivalency (using raw bounds of −20 to +20 mL/kg/min difference between the paired measurements), agreement and correlation between standard and modified methods of the SVC flow measurements.Results: Thirty-nine infants were enrolled. The mean gestational age of the cohort was 27.4 (SD 2.1) weeks of postmenstrual age, the mean birth weight was 0.95 kg (SD 0.2). The measurements at 6 and 36 h of age were equivalent as defined in the design of the study (p = 0.003 and p = 0.004 respectively; raw bounds −20 to +20 mL/kg/min). At 6 h of age the mean difference (bias) between the measurements was −0.8 mL/kg/min with 95% limits of agreement −65.0 to 63.4 mL/kg/min. At 18 h of age, the mean difference (bias) between the measurements was +9.5 mL/kg/min, with 95% limits of agreement −79.6 to 98.7 mL/kg/min. At 36 h of age the mean difference (bias) between the measurements was −2.2 mL/kg/min with 95% limits of agreement −73.4 to 69.1 mL/kg/min. There was a weak, but statistically significant correlation between the standard and modified method at 6 h of age (r = 0.39, p = 0.04).Conclusion: Both SVC flow echocardiography measurement techniques yielded clinically equivalent results, however due to wide limits of agreement and poor correlation they do not seem to be interchangeable.

scholarly journals Changes in the physiological parameters of newborns in the first one hour of life

2019 ◽  
Vol 6 (4) ◽  
pp. 1533
Author(s):  
Shasidhar Reddy Y. ◽  
Abdul Mohid Syed ◽  
Gangadhar B. Belavadi
Keyword(s):  
Heart Rate ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Oxygen Saturation ◽  
Mode Of Delivery ◽  
Physiological Parameters ◽  
Peripheral Oxygen Saturation ◽  
College Hospital ◽  
Significant Difference ◽  
The Mean

Background: The transition from a fetus to a newborn is the most complex adaptation that occurs in human experience. This study assessed three physiological parameters viz. temperature (core and peripheral), oxygen saturation and heart rate so as to avoid the delay in normal transitional adaptation.Methods: This cross-sectional observational study was done at Narayana Medical College Hospital, Nellore, Andhra Pradesh, India. A total of 150 neonates born from June 2017 to February 2018 were monitored for heart rate, oxygen saturation, core and peripheral temperature from birth to 60 minutes.Results: Most of the mother’s (45.33%) were aged between 22 to 25 years and the mean age was 23.75±3.64 years. History of consanguineous marriage was noted in 33.33%. The mode of delivery was vaginal in 70.67% of the babies. The mean gestational age was 38.74±1.36 weeks. The birth weight among 62% of the babies was between 2.5 to 3.49 Kgs and mean birth weight was 2.81±0.49 kgs. The meconium stained liquor and requirement of resuscitation was noted in 9.33% and 10.67% respectively.Conclusions: Significant difference was noted with regard to heart rate in babies with active resuscitation, low birth weight (<2.5 kg), meconium stained liquor and warmer care compared to normal babies. There was variation in oxygen saturation in babies who required resuscitation and warmer care, and those who had low birth weight. The mean peripheral and core temperature were different in babies with abdominal care compared to warmer care.

scholarly journals A Novel Heart Rate Robust Method for Short-Term Electrocardiogram Biometric Identification

2019 ◽  
Vol 9 (1) ◽  
pp. 201 ◽  
Author(s):  
Di Wang ◽  
Yujuan Si ◽  
Weiyi Yang ◽  
Gong Zhang ◽  
Tong Liu
Keyword(s):  
Heart Rate ◽  
Principal Component ◽  
Identification Accuracy ◽  
Ecg Signal ◽  
Identification Task ◽  
Short Term ◽  
Ecg Signals ◽  
Subject Identification ◽  
Novel Method ◽  
Electrocardiogram Ecg

In the past decades, the electrocardiogram (ECG) has been investigated as a promising biometric by exploiting the subtle discrepancy of ECG signals between subjects. However, the heart rate (HR) for one subject may vary because of physical activities or strong emotions, leading to the problem of ECG signal variation. This variation will significantly decrease the performance of the identification task. Particularly for short-term ECG signal without many heartbeats, the hardly measured HR makes the identification task even more challenging. This study aims to propose a novel method suitable for short-term ECG signal identification. In particular, an improved HR-free resampling strategy is proposed to minimize the influence of HR variability during heartbeat processing. For feature extraction, the Principal Component Analysis Network (PCANet) is implemented to determine the potential difference between subjects. The proposed method is evaluated using a public ECG-ID database that contains various HR data for some subjects. Experimental results show that the proposed method is robust to HR change and can achieve high subject identification accuracy (94.4%) on ECG signals with only five heartbeats. Thus, the proposed method has the potential for application to systems that use short-term ECG signals for identification (e.g., wearable devices).

HRV

2020 ◽  
pp. 236-264
Author(s):  
Kirti Rawal ◽  
Gaurav Sethi ◽  
Barjinder Singh Saini ◽  
Indu Saini
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Input Signal ◽  
Medical Tourism ◽  
Ecg Signal ◽  
Rr Intervals ◽  
Experimental Protocols ◽  
Hrv Analysis ◽  
Electrocardiogram Ecg ◽  
Electrical Interference

The most important factor involved in heart rate variability (HRV) analysis is cardiac input signal, which is achieved in the form of electrocardiogram (ECG). The ECG signal is used for identifying many electrical defects associated with the heart. In this chapter, many issues involved while ECG recording such as type of the recording instrument, various sources of noise, artifacts, and electrical interference from surroundings is presented. Most importantly, this chapter comprises the details about the experimental protocols followed while ECG recording. Also, the brief overview of medical tourism as well as various interpolation methods used for pre-processing of RR intervals are presented in this chapter.

PERBANDINGAN RUMUS JOHNSON DAN RUMUS RISANTO DALAM MENENTUKAN TAKSIRAN BERAT JANIN PADA IBU HAMIL DENGAN BERAT BADAN BERLEBIH

2020 ◽  
Vol 5 (2) ◽  
pp. 24-27
Author(s):  
Leo Jumadi Simanjuntak ◽  
Patrick Anando Simanjuntak
Keyword(s):  
Birth Weight ◽  
Mode Of Delivery ◽  
Mean Difference ◽  
Fetal Weight ◽  
P Value ◽  
Cross Sectional ◽  
Care Workers ◽  
The Mean ◽  
Mean Differences ◽  
Estimated Fetal Weight

Background: Estimated fetal weight (EFW) is important to determine mode of delivery. The use of estimated fetal weight based on fundal height has been widely used, but the use on overweight mothers is still limited. Objectives: This study aimed to compare the Johnson’s and Risanto’s formula in estimating fetal weight on overweight mothers. Method: The design used was cross-sectional, conducted at Mitra Sejati, Herna, and Methodist Sussana Wesley hospital on November 2019 until January 2020. Mann-Whitney test was used to compare EFW mean differences between Johnson’s and Risanto’s to actual birth weight. Paired t-test was used to compare EFW mean differences between Johnson’s and Risanto’s. Results: There were 103 overweight pregnant mothers fulfilling study criteria. The BMI mean was 31,26 ± 5l,54 kg/m2. Both Johnson’s and Risanto’s formula had no significant mean difference compare to actual birth weight, of 332,45 gram on Johnson’s (p value = 0,070) and 298,57 gram on Risanto’s (p value = 0,863). The mean difference between Risanto’s formula and actual birth weight was significantly lower than Johnson’s (mean difference = 33,88 gram, p value = 0,01). Conclusions: EFW measurement using Johnson’s and Risanto’s formula based on fundal height can be applied and used properly by health care workers. Risanto’s formula was more accurate to estimate fetal weight than Johnson’s in overweight mothers.   Latar belakang: Menentukan taksiran berat janin (TBJ) adalah penting bagi penolong persalinan untuk menentukan jenis persalinan. Pengukuran TBJ menggunakan tinggi fundus uterus merupakan metode yang banyak digunakan, namun penggunaan pada ibu hamil dengan berat badan berlebih masih terbatas. Tujuan: Penelitian ini bertujuan membandingkan rumus Johnson dan rumus Risanto dalam menentukan TBJ pada ibu hamil dengan berat badan berlebih. Metode: Desain penelitian adalah potong lintang, data diambil di RSU Mitra Sejati, RSU Herna, dan RSU Methodist Sussana Wesley pada November 2019 – Januari 2020. Dilakukan uji Mann-Whitney untuk membandingkan perbedaan rerata TBJ dengan rumus Johnson dan Risanto dengan berat badan lahir. Uji-t berpasangan digunakan untuk membandingkan perbedaan rerata TBJ dengan rumus Johnson dan Risanto. Hasil: Didapatkan 103 ibu hamil yang memenuhi kriteria penelitian dengan rerata IMT 31,26 ± 5l,54 kg/m2. Terdapat perbedaan rerata TBJ rumus Johnson dan rumus Risanto dibandingkan berat badan lahir sebesar 332,45 gram dan 298,57 gram. Tidak terdapat perbedaan rerata bermakna antara penghitungan TBJ menggunakan rumus Johnson dengan berat badan lahir (p = 0,070) dan rumus Risanto dengan berat badan lahir (p = 0,863). Perbedaan selisih TBJ Risanto dengan berat badan lahir lebih rendah dibandingkan selisih TBJ Johnson dengan berat badan lahir, yaitu sebesar 33,88 gram dan bermakna secara statistik (p = 0,01). Kesimpulan: Pengukuran TBJ menggunakan rumus Johnson dan rumus Risanto dapat diterapkan dan digunakan dengan baik oleh tenaga medis. Rumus Risanto memiliki tingkat ketepatan yang lebih baik dibandingkan rumus Johnson dalam menentukan TBJ pada ibu hamil dengan berat badan berlebih.

Blending Human and Machine: Feasibility of Measuring Fatigue Through the Aviation Headset

2019 ◽  
Vol 62 (4) ◽  
pp. 553-564 ◽  
Author(s):  
Nicholas Wilson ◽  
Bijay Guragain ◽  
Ajay Verma ◽  
Lewis Archer ◽  
Kouhyar Tavakolian
Keyword(s):  
Heart Rate ◽  
Federal Aviation Administration ◽  
Heart Rate Change ◽  
Flight Simulation ◽  
Physiological Data ◽  
The Mean ◽  
Signal Processing Methods ◽  
Electrocardiogram Ecg ◽  
Ecg Data ◽  
Mean Heart Rate

Objective To determine viability of drowsiness detection, researchers study the feasibility of photoplethysmogram (PPG) data collection from the geography of the aviation headset, correlating to electrocardiogram (ECG) reference. Background Fatigue has been a probable cause, contributing factor, or a finding in 20% of transportation incidents and accidents studied between January 2001 and December 2012. This operational hazard is particularly troublesome within aviation and airline operations. Method PPG and ECG data were collected synchronously from Federal Aviation Administration (FAA) commercially rated pilots during flight simulation in the window of circadian low (WOCL). Valid PPG and ECG data from 14 participants were analyzed, which yielded approximately 2 hr of data per participant for fatigue-related analysis. Results The results of the study demonstrate clear trends toward decreased heart rate for both ECG and PPG and suggest progression of drowsiness between four separate periods (T1, T2, T3, and T4) selected during the study; however, the mean heart rate change from T1 to T4 was statistically significant. Conclusion The results suggest that ECG and PPG data can be an important tool to observe conditions where drowsiness or fatigue may add risk to the operation. In addition, the data show high correlation between ECG and PPG data, further suggesting that a simpler PPG sensor, mounted within the geography of the aviation headset, may streamline the operationalization of important physiological data. Application Incorporation of PPG sensors and associated signal processing methods into facilitating equipment, such as the aviation headset, may add a layer to operational safety.

scholarly journals Khat (Catha Edulis) as a Risk Factor for Cardiovascular Disorders: Systematic Review and Meta-Analysis

2017 ◽  
Vol 11 (1) ◽  
pp. 146-155 ◽  
Author(s):  
Teshale Ayele Mega ◽  
Nikodimos Eshetu Dabe
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Systolic Blood Pressure ◽  
Cardiovascular System ◽  
Meta Analysis ◽  
Conclusive Evidence ◽  
Mean Difference ◽  
Cardiovascular Disorders ◽  
Khat Chewing ◽  
The Mean

Background:About 20 million people worldwide are believed to be using khat. Although some studies reported that khat chewing might result in cardiovascular disorders, conclusive evidence is limited.Method:The objective of this review was to synthesize the best available evidence for the effect of khat on the cardiovascular system. Databases searched were PubMed, Cochrane database of systematic reviews, CINAHL, poplin, LILACS, MedNar and Scopus. All papers included in the review were subjected to rigorous appraisal using the Joanna Briggs Institute (JBI) standardized critical appraisal tool. Review Manager Software (Revman 5.3) was used for meta-analysis and effect size and the 95% confidence interval (CI) was calculated.Result:Data was extracted from 10 articles. Our meta-analysis included 9,207 subjects, (2123 chewers and 7084 non-chewers, respectively) to elucidate the effect of khat on heart rate, diastolic and systolic blood pressure. The mean diastolic and systolic blood pressure of khat chewers was higher than the non-chewers with a mean difference of 5.1 mmHg, 95%CI [2.7,7.5] and 7.9 mmHg, 95%CI [2.65, 13.18], respectively. Similarly, the heart rate of the chewers remained consistently higher, making the mean difference of 6.9 beats/min, 95%CI [0.5, 13.3]. In addition, khat was found to have either a causative or worsening effect on stroke, myocardial infarction and heart failure.Conclusion:We showed that khat chewing could significantly affect the cardiovascular system through its effect on heart rate and blood pressure. Therefore, health promotion should be aimed to encourage quitting khat chewing.

scholarly journals Clinical Profile and Feto-Maternal Outcome of Preterm Prelabour Rupture of The Membrane in a Tertiary Level Hospital

KYAMC Journal ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 166-171
Author(s):  
Sanjida Hossain ◽  
Syeda Sharmin Sultana ◽  
Joyti Rani Biswas ◽  
Mosammat Salma Noor ◽  
Sharmin Farzana
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Gestational Age ◽  
Clinical Profile ◽  
Fetal Membrane ◽  
Weight Category ◽  
Study Results ◽  
History Of ◽  
Study Population ◽  
The Mean

Background: The rupture of fetal membrane before onset of labour at less than 37 completed weeks of gestation. Incidence of Preterm prelabour rupture of membrane (PPROM) ranges from 3.0-10.0% of all deliveries and causes around 25-30% of all preterm deliveries. Objective: To see the clinical profile, maternal and fetal outcome of preterm prelabour rupture of the membrane. Materials and Methods: One hundred fifteen pregnant women with 28-37 weeks of gestation and diagnosed as PPROM admitted in different units selected by purposive sampling, fulfilled the inclusion and exclusion criteria were enrolled as study population in this study. Results: The mean age was 24.65(±3.68) years. Majority (75.65%) were primi para. The mean gestational age was 32.34(±2.86) weeks, 79.13% had gestational age between 30-36 weeks and 20.87% had up to 30 wks. The common risk factors of the study population were history of coitus, CPD, infection and history of abortion which were 42.61%, 9.57%, 5.22% and 4.35% respectively. Majority 55.65% women had vaginal delivery, 44.35% had caesarian section. Majority of the babies born to PPROM group were in the very low birth weight category (53 cases 62.3%), whereas only 32 cases (37.6%) were of normal birth weight. Infection and perinatal mortality was significantly associated with PPROM. Conclusion: PPROM can be prevented avoiding the certain risk factors by proper ante natal checkup, strict follow up, good obstetrical care and perinatal care , making mass awareness of the sequele. KYAMC Journal. 2021;12(3): 166-171

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