Displaying publications 61 - 80 of 262 in total

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  1. Fulltext Acute and emergency care for thyrotoxicosis and thyroid storm
    Idrose AM
    Acute medicine & surgery, 2015 07;2(3):147-157.
    PMID: 29123713 DOI: 10.1002/ams2.104
    Thyroid hormones affect all organ systems and, in excess, can cause increased metabolic rate, heart rate, ventricle contractility, and gastrointestinal motility as well as muscle and central nervous system excitability. Thyroid storm is the extreme manifestation of thyrotoxicosis with an estimated incidence of 0.20 per 100,000 per year among hospitalized patients in Japan. The mortality of thyroid storm without treatment ranges from 80% to 100%; but with treatment, the mortality rate is between 10% and 50%. The diagnostic strategy for thyroid storm may take into consideration Burch-Wartofsky scoring or Akamizu's diagnostic criteria. Multiple treatment aims need to be addressed in managing thyroid storm effectively. This paper puts together all aspects to be considered for the management of hyperthyroidism and thyroid storm during the acute and emergency phase as well as consideration of special populations.
    Matched MeSH terms: Heart Rate
  2. Automated detection of atrial fibrillation using long short-term memory network with RR interval signals
    Faust O, Shenfield A, Kareem M, San TR, Fujita H, Acharya UR
    Comput Biol Med, 2018 11 01;102:327-335.
    PMID: 30031535 DOI: 10.1016/j.compbiomed.2018.07.001
    Atrial Fibrillation (AF), either permanent or intermittent (paroxysnal AF), increases the risk of cardioembolic stroke. Accurate diagnosis of AF is obligatory for initiation of effective treatment to prevent stroke. Long term cardiac monitoring improves the likelihood of diagnosing paroxysmal AF. We used a deep learning system to detect AF beats in Heart Rate (HR) signals. The data was partitioned with a sliding window of 100 beats. The resulting signal blocks were directly fed into a deep Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM). The system was validated and tested with data from the MIT-BIH Atrial Fibrillation Database. It achieved 98.51% accuracy with 10-fold cross-validation (20 subjects) and 99.77% with blindfold validation (3 subjects). The proposed system structure is straight forward, because there is no need for information reduction through feature extraction. All the complexity resides in the deep learning system, which gets the entire information from a signal block. This setup leads to the robust performance for unknown data, as measured with the blind fold validation. The proposed Computer-Aided Diagnosis (CAD) system can be used for long-term monitoring of the human heart. To the best of our knowledge, the proposed system is the first to incorporate deep learning for AF beat detection.
    Matched MeSH terms: Heart Rate
  3. Fulltext Analysis the influence of heart rate and muscle activity towards muscle fatique in layup workers
    Noor'Ain Azizan, Seri Rahayu Kamat, Nur Syafiqah Rayme, Ruzy Haryati Hambali
    Journal of Advanced Research in Applied Sciences and Engineering Technology, 2018;11(1):99-107.
    MyJurnal
    Repetitive movement can lead to the pain muscle, nerves, and tendons that cause by
    repetitive overuse of working task. The muscle will fatigue due to; repetitive
    movement, force that been applied, posture during working and duration of working.
    The stress level during working can influent the energy performance usage during
    working. The aim of this paper is to analyse the influence of heart rate and muscle
    activity of workers in composite manufacturing towards muscle fatigue. The data was
    collected for a worker in hand layup department and the Qualitative method was used
    in a way to investigate the working load and level of pain received by their body. Then,
    the Qualitative data was sorted and the respondent proceeded for a Quantitative
    method which involves muscle activity analysis and heart rate analysis. The tools that
    were used to conduct these experiments were surface electromyography (sEMG),
    Wristwatch with chest strap and perceived stress scale (PSS). The experimentation
    used to calculate the average reading of heart rate and muscle activity during working
    and detect the duration the muscle to start fatigue. Moreover, this paper analysed the
    relationship between heart rate and muscle activity through the duration of working.
    As an overall finding of this research, it was shown that the heart rate of the workers
    influence the muscle activity of workers and has high potential relationship to the
    fatigue of muscles of the workers in the layup department.
    Matched MeSH terms: Heart Rate
  4. Fulltext Potential of small entrepreneurs to implement entrepreneurial skills using HRV Biofeedback
    Nazrolnizah Mohamad Noorzeli, Muhammad Nubli Abdul Wahab
    Malaysian Journal of Social Sciences and Humanities, 2017;2(1):66-77.
    MyJurnal
    The ability to enhance the entrepreneurial skills of small entrepreneurs is the key factor to the increase
    in business. Nevertheless, previous literature showed that there is less current study which focused on
    the methods to improve entrepreneurial skills using Biofeedback techniques among entrepreneurs in
    Malaysia. Thus, this study was aimed to: 1) Identifying the demographic background of small
    entrepreneurs, 2) Identify management capabilities among entrepreneurs in entrepreneurial skills and 3) Identify the profile of Heart Rate Variability (HRV) among small entrepreneurs through increased the
    HF coherence. A total of 50 respondents of small entrepreneurs were recruited in this study. The data
    collected involved a questionnaire survey with participants, profit and sales analysis and analysis of
    HRV. Statistical correlation analysis was used to examine the relationship between entrepreneurial
    skills and business insights from the point of HRV. The finding shows that there is a very strong
    relationship between the increases in entrepreneurial skills from an increase in business with the profile
    of HRV among participants with the score of 0.80-1.00. This showed that HRV Biofeedback training
    technique is appropriate to be used as an intervention program to increse entrepreneurship skills among
    small entrepreneurs in Malaysia.
    Matched MeSH terms: Heart Rate
  5. Fulltext The rehydration potential of zea mays juice compared to carbohydrate-electrolyte beverage
    Azimah Ahmad, Normah Jusoh, Ruaibah Yazani Tengah
    Jurnal Sains Sukan & Pendidikan Jasmani, 2018;7(2):113-119.
    MyJurnal
    The purpose of rehydration is to replace fluid and electrolyte losses. Carbohydrates and sodium are the main nutrient sources for rehydration. The presence of protein aids the rehydration process and thereby promoting muscle synthesis. Zea mays had been identified as one of the potential food sources that could be an alternative recovery beverage. The aim of this study was to assess the potential of Zea mays (ZM) juice as an alternative rehydration beverage. A total of 15 male participants were involved in this study. They were required to cycle to 70-80% of their age predicted maximum heart rate until they were dehydrated (1.8-2% body weight loss). Then they were given either ZM juice or CE drink in an amount representing 150% of their initial body weight loss. After 4-hours of rest with no other food allowed, their USG and percentage of fluid retention were calculated. Results showed that ZM juice had better retention and demonstrated well hydrated USG readings compared to CE drink. Therefore, ZM juice has the potential to be an alternative rehydration beverage.
    Matched MeSH terms: Heart Rate
  6. Fulltext Towards health monitoring using remote heart rate measurement using digital camera: A feasibility study
    Hassan MA, Malik AS, Fofi D, Karasfi B, Meriaudeau F
    Measurement : journal of the International Measurement Confederation, 2020 Jan;149:106804.
    PMID: 32287815 DOI: 10.1016/j.measurement.2019.07.032
    The paper presents a feasibility study for heart rate measurement using a digital camera to perform health monitoring. The feasibility study investigates the reliability of the state of the art heart rate measuring methods in realistic situations. Therefore, an experiment was designed and carried out on 45 subjects to investigate the effects caused by illumination, motion, skin tone, and distance variance. The experiment was conducted for two main scenarios; human-computer interaction scenario and health monitoring scenario. The human-computer scenario investigated the effects caused by illumination variance, motion variance, and skin tone variance. The health monitoring scenario investigates the feasibility of health monitoring at public spaces (i.e. airports, subways, malls). Five state of the art heart rate measuring methods were re-implemented and tested with the feasibility study database. The results were compared with ground truth to estimate the heart rate measurement error. The heart rate measurement error was analyzed using mean error, standard deviation; root means square error and Pearson correlation coefficient. The findings of this experiment inferred promising results for health monitoring of subjects standing at a distance of 500 cm.
    Matched MeSH terms: Heart Rate
  7. Fetal Atrial Ectopic Rhythm Detected Using Handheld Doppler
    Mohd Jalil R, Radzi NS, Yahaya Z, Muhar M
    Malays Fam Physician, 2020;15(1):50-53.
    PMID: 32284806
    Atrial ectopic rhythm is one of the most common fetal arrhythmias that can present during the prenatal period. Detection of fetal arrhythmia can be made by auscultating fetal heart rate and rhythm using a fetal handheld Doppler, and this can be done even in a resource-limited setting. The finding of an abnormal fetal heart rate and rhythm should prompt early referral to a pediatric cardiologist, as this may improve clinical outcomes. We present a case of atrial ectopic rhythm detected in utero using a handheld Doppler.
    Matched MeSH terms: Heart Rate, Fetal
  8. Fulltext Effects of Relaxing and Arousing Music during Imagery Training on Dart-Throwing Performance, Physiological Arousal Indices, and Competitive State Anxiety
    Kuan G, Morris T, Kueh YC, Terry PC
    Front Psychol, 2018;9:14.
    PMID: 29459837 DOI: 10.3389/fpsyg.2018.00014
    Music that is carefully selected to match the requirements of activities and the characteristics of individuals has been shown to produce significant impacts on performance enhancement (Priest et al., 2004). There is also evidence that music can enhance imagery (Grocke and Wigram, 2007), although few studies have investigated the effects of music on imagery in the context of sport skills. In the present study, the effects of relaxing and arousing music during imagery on dart-throwing performance, physiological arousal indices, and competitive state anxiety, were investigated among 63 novice dart throwers. Participants had moderate-to-high imagery ability and were randomly assigned to unfamiliar relaxing music (URM), unfamiliar arousing music (UAM), or no music (NM) groups. Performance was assessed by 40 dart throws at a concentric circles dartboard before and after 12 imagery sessions over 4 weeks. Measures of galvanic skin response (GSR), peripheral temperature (PT), and heart rate (HR) were taken during imagery sessions 1 and 12, and the Competitive State Anxiety Inventory-2 Revised (CSAI-2R) was administered prior to the pre- and post-intervention performance task. Dart-throwing gain scores were significantly higher for URM than for UAM and NM, with no significant difference between UAM and NM (URM = 37.24 ± 5.66, UAM = 17.57 ± 5.30, and NM = 13.19 ± 6.14,F2,62= 5.03,p= 0.01, η2= 0.14). GSR, PT, and HR reflected lower arousal for URM than for UAM or NM. Significant decreases in somatic anxiety were evident for URM and UAM but not NM. Significant decreases in cognitive anxiety were evident for URM and NM but not UAM. Significant increases in self-confidence were evident for URM but not UAM or NM. Performance improved in all three conditions but URM was associated with the largest performance gain, the lowest physiological indices of arousal, and the most positive CSAI-2R profiles. Listening to relaxing music during imagery may have benefits for performance in other fine motor skills.
    Matched MeSH terms: Heart Rate
  9. Intraoperative Valsalva maneuver: a narrative review
    Kumar CM, Van Zundert AAJ
    Can J Anaesth, 2018 05;65(5):578-585.
    PMID: 29368315 DOI: 10.1007/s12630-018-1074-6
    The Valsalva maneuver (VM) involves expiratory effort against a closed mouth and/or glottis in the sitting or supine position with the increased intraoral and intrathoracic pressure raised to 40 mmHg for 15-20 sec after which the pressure is suddenly released and the breathing restored to normal. Complex cardiovascular and other physiologic changes occur during the VM. The VM has been used for diagnostic and therapeutic reasons as well as intraoperatively during specific surgical procedures. Although the VM is usually safe, rare complications have been reported. This review examines the published literature surrounding the VM and explores the physiologic changes that occur during its performance. Attempts have been made to understand its intraoperative uses and complications and how these can be prevented.
    Matched MeSH terms: Heart Rate
  10. HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
    Islam MS, Hasan KF, Sultana S, Uddin S, Lio' P, Quinn JMW, et al.
    Neural Netw, 2023 May;162:271-287.
    PMID: 36921434 DOI: 10.1016/j.neunet.2023.03.004
    Deep learning-based models have achieved significant success in detecting cardiac arrhythmia by analyzing ECG signals to categorize patient heartbeats. To improve the performance of such models, we have developed a novel hybrid hierarchical attention-based bidirectional recurrent neural network with dilated CNN (HARDC) method for arrhythmia classification. This solves problems that arise when traditional dilated convolutional neural network (CNN) models disregard the correlation between contexts and gradient dispersion. The proposed HARDC fully exploits the dilated CNN and bidirectional recurrent neural network unit (BiGRU-BiLSTM) architecture to generate fusion features. As a result of incorporating both local and global feature information and an attention mechanism, the model's performance for prediction is improved. By combining the fusion features with a dilated CNN and a hierarchical attention mechanism, the trained HARDC model showed significantly improved classification results and interpretability of feature extraction on the PhysioNet 2017 challenge dataset. Sequential Z-Score normalization, filtering, denoising, and segmentation are used to prepare the raw data for analysis. CGAN (Conditional Generative Adversarial Network) is then used to generate synthetic signals from the processed data. The experimental results demonstrate that the proposed HARDC model significantly outperforms other existing models, achieving an accuracy of 99.60%, F1 score of 98.21%, a precision of 97.66%, and recall of 99.60% using MIT-BIH generated ECG. In addition, this approach significantly reduces run time when using dilated CNN compared to normal convolution. Overall, this hybrid model demonstrates an innovative and cost-effective strategy for ECG signal compression and high-performance ECG recognition. Our results indicate that an automated and highly computed method to classify multiple types of arrhythmia signals holds considerable promise.
    Matched MeSH terms: Heart Rate
  11. Fulltext The Principles of Hearable Photoplethysmography Analysis and Applications in Physiological Monitoring-A Review
    Azudin K, Gan KB, Jaafar R, Ja'afar MH
    Sensors (Basel), 2023 Jul 18;23(14).
    PMID: 37514778 DOI: 10.3390/s23146484
    Not long ago, hearables paved the way for biosensing, fitness, and healthcare monitoring. Smart earbuds today are not only producing sound but also monitoring vital signs. Reliable determination of cardiovascular and pulmonary system information can explore the use of hearables for physiological monitoring. Recent research shows that photoplethysmography (PPG) signals not only contain details on oxygen saturation level (SPO2) but also carry more physiological information including pulse rate, respiration rate, blood pressure, and arterial-related information. The analysis of the PPG signal from the ear has proven to be reliable and accurate in the research setting. (1) Background: The present integrative review explores the existing literature on an in-ear PPG signal and its application. This review aims to identify the current technology and usage of in-ear PPG and existing evidence on in-ear PPG in physiological monitoring. This review also analyzes in-ear (PPG) measurement configuration and principle, waveform characteristics, processing technology, and feature extraction characteristics. (2) Methods: We performed a comprehensive search to discover relevant in-ear PPG articles published until December 2022. The following electronic databases: Institute of Electrical and Electronics Engineers (IEEE), ScienceDirect, Scopus, Web of Science, and PubMed were utilized to conduct the studies addressing the evidence of in-ear PPG in physiological monitoring. (3) Results: Fourteen studies were identified but nine studies were finalized. Eight studies were on different principles and configurations of hearable PPG, and eight studies were on processing technology and feature extraction and its evidence in in-ear physiological monitoring. We also highlighted the limitations and challenges of using in-ear PPG in physiological monitoring. (4) Conclusions: The available evidence has revealed the future of in-ear PPG in physiological monitoring. We have also analyzed the potential limitation and challenges that in-ear PPG will face in processing the signal.
    Matched MeSH terms: Heart Rate
  12. Fulltext Relaxing music reduces blood pressure and heart rate among pre-hypertensive young adults: A randomized control trial
    Mir IA, Chowdhury M, Islam RM, Ling GY, Chowdhury AABM, Hasan ZM, et al.
    J Clin Hypertens (Greenwich), 2021 02;23(2):317-322.
    PMID: 33347732 DOI: 10.1111/jch.14126
    Prevalence of pre-hypertension is higher among young adults and may increase the risk for hypertension and cardiovascular morbidity. Music therapy has been investigated to reduce the blood pressure in the hypertensive population; however, its efficacy on blood pressure in pre-hypertensive young adults is not known. Thirty pre-hypertensive (systolic blood pressure [SBP] = 120-139 mmHg and diastolic blood pressure [DBP] = 80-89 mmHg) young adults were recruited and randomly assigned into two groups. Music group (N = 15) received music therapy by passive listening to music for 30 minutes/day, 5 days/week for 4 weeks, along with Dietary Approaches to Stop Hypertension (DASH) eating plan (a diet rich in fruits and vegetables, low-fat dairy or unsaturated fat) and limit the daily sodium intake less than 100 mmol/day. The control group (N = 15) practiced only DASH eating plan and sodium restriction. The SBP, DBP, and heart rate (HR) were measured before and after 4 weeks of intervention. There was a significant reduction in SBP (8.73 mmHg, p 
    Matched MeSH terms: Heart Rate
  13. Improving detection of obstructive sleep apnoea by overnight oximetry in children using pulse rate parameters
    Sahadan DZ, Davey MJ, Horne RS, Nixon GM
    Sleep Breath, 2015 Dec;19(4):1409-14.
    PMID: 25739713 DOI: 10.1007/s11325-014-1108-4
    PURPOSE: Overnight oximetry is a simple tool for investigation of obstructive sleep apnoea (OSA) in children, but only severe cases will be detected, and children with obstructive events resulting in arousal, but not desaturation, will have a normal (inconclusive) result. We hypothesised that pulse rate rises using pulse rate indices per hour (PRI) and pulse rate standard deviation (PR-SD) automatically calculated from commercially available software would improve oximetry as a diagnostic tool.

    METHODS: Children having home overnight oximetry for suspected OSA were identified over 12 months, and those with a normal result who went on to have polysomnography (PSG) were included. Oximetry, including PR-SD and PRI (rises of 8, 10 and 15 beats/min per hour), was analyzed using commercially available software. PR parameters were compared between those with OSA (obstructive apnoea-hypopnoea index (OAHI) >1 event/h) and those without OSA.

    RESULTS: One hundred sixteen children had normal oximetry, of whom 93 (median age 4.5 years; 55 % M) had PSG. Fifty-seven of 93 (61 %) children had OSA (median OAHI 4.5 events/h, range 1.1-24). PR-SD was not different between the OSA and non-OSA groups (p = 0.87). PRI tended to be higher in those with OSA, but there was considerable overlap between the groups: PRI-8 (mean ± SD 58.5 ± 29.0/h in OSA group vs 48.6 ± 20.2/h in non-OSA group, p = 0.07), PRI-10 (45.1 ± 25.0 vs 36.2 ± 16.7, p = 0.06) and PRI-15 (24.4 ± 14.5 vs 18.9 ± 9.0, p = 0.04). A PRI-15 threshold of >35/h had specificity of 97 % for OSA.

    CONCLUSION: The PRI-15 shows promise as an indicator of OSA in children with normal oximetry.

    Matched MeSH terms: Heart Rate*
  14. Fulltext The effect of wearing sanitary napkins of different thicknesses on physiological and psychological responses in Muslim females
    Mohamed NG, Abidin NZ, Law KS, Abe M, Suzuki M, Muhamed AM, et al.
    J Physiol Anthropol, 2014;33:28.
    PMID: 25189184 DOI: 10.1186/1880-6805-33-28
    Menstruation is associated with significant unpleasantness, and wearing a sanitary napkin (SN) during menses causes discomfort. In addition, many Muslim women use a thick type of SN during menses due to the religious requirement that even disposable SNs be washed before disposal. Therefore, the objective of this study was to measure the physiological and psychological responses to wearing SNs of different thicknesses during menstruation and non-menstruation phases at rest and during physical activity/exercise among Muslim women.
    Matched MeSH terms: Heart Rate/physiology*
  15. Effect of glyphosate-based herbicide on early life stages of Java medaka (Oryzias javanicus): a potential tropical test fish
    Yusof S, Ismail A, Alias MS
    Mar Pollut Bull, 2014 Aug 30;85(2):494-8.
    PMID: 24731878 DOI: 10.1016/j.marpolbul.2014.03.022
    Glyphosate is globally a widely used herbicide, yet there is little information on their toxicity to marine fishes. Java medaka, a small tropical fish native to coastal areas in several Southeast Asian countries, is viewed as a suitable candidate for toxicity test and thus was used for this study. Java medaka adults were cultured in the laboratory and the fertilized eggs of the F2 generation were exposed to different concentrations of glyphosate-based herbicide (100, 200, 300, 400 and 500 ppm) until they hatched. The survival and hatching rates of the embryos, changes in the heart rate and morphological impairments were recorded. Generally, survival and hatching percentage decreased as glyphosate concentration increased. Absence of pectoral fin(s) and cornea, permanently bent tail, irregular shaped abdomen, and cell disruption in the fin, head and abdomen are among the common teratogenic effects observed. Furthermore, risk factor also increased with the increased in glyphosate concentrations.
    Matched MeSH terms: Heart Rate/drug effects
  16. Automated identification of normal and diabetes heart rate signals using nonlinear measures
    Rajendra Acharya U, Faust O, Adib Kadri N, Suri JS, Yu W
    Comput Biol Med, 2013 Oct;43(10):1523-9.
    PMID: 24034744 DOI: 10.1016/j.compbiomed.2013.05.024
    Diabetes mellitus (DM) affects considerable number of people in the world and the number of cases is increasing every year. Due to a strong link to the genetic basis of the disease, it is extremely difficult to cure. However, it can be controlled to prevent severe consequences, such as organ damage. Therefore, diabetes diagnosis and monitoring of its treatment is very important. In this paper, we have proposed a non-invasive diagnosis support system for DM. The system determines whether or not diabetes is present by determining the cardiac health of a patient using heart rate variability (HRV) analysis. This analysis was based on nine nonlinear features namely: Approximate Entropy (ApEn), largest Lyapunov exponet (LLE), detrended fluctuation analysis (DFA) and recurrence quantification analysis (RQA). Clinically significant measures were used as input to classification algorithms, namely AdaBoost, decision tree (DT), fuzzy Sugeno classifier (FSC), k-nearest neighbor algorithm (k-NN), probabilistic neural network (PNN) and support vector machine (SVM). Ten-fold stratified cross-validation was used to select the best classifier. AdaBoost, with least squares (LS) as weak learner, performed better than the other classifiers, yielding an average accuracy of 90%, sensitivity of 92.5% and specificity of 88.7%.
    Matched MeSH terms: Heart Rate/physiology*
  17. Fulltext Value of Shock Index in prognosticating the short-term outcome of death for patients presenting with severe sepsis and septic shock in the emergency department
    Yussof SJM, Zakaria MI, Mohamed FL, Bujang MA, Lakshmanan S, Asaari AH
    Med J Malaysia, 2012 Aug;67(4):406-11.
    PMID: 23082451
    INTRODUCTION: The importance of early recognition and treatment of sepsis and its effects on short-term survival outcome have long been recognized. Having reliable indicators and markers that would help prognosticate the survival of these patients is invaluable and would subsequently assist in the course of effective dynamic triaging and goal directed management.
    STUDY OBJECTIVES: To determine the prognosticative value of Shock Index (SI), taken upon arrival to the emergency department and after 2 hours of resuscitation on the shortterm outcome of severe sepsis and septic shock patients.
    METHODOLOGY: This is a retrospective observational study involving 50 patients admitted to the University of Malaya Medical Centre between June 2009 and June 2010 who have been diagnosed with either severe sepsis or septic shock. Patients were identified retrospectively from the details recorded in the registration book of the resuscitation room. 50 patients were selected for this pilot study. The population comprised 19 males (38%) and 31 females (62%). The median (min, max) age was 54.5 (17.0, 84.0) years. The number of severe sepsis and septic shock cases were 31 (62%), and 19 (38%) respectively. There were 17 (34%) cases of pneumonias, 13 (26%) cases of urological sepsis, 8 (16%) cases of gastro intestinal tract related infections and 12 (24%) cases of other infections. There were a total of 23 (46%) survivors and 27 (54%) deaths. The value of the shock index is defined as systolic blood pressure divided by heart rate was calculated. Shock Index on presentation to ED (SI 1) and after 2 hours of resuscitation in the ED (SI 2). The median, minimum and maximum variables were tested using Mann-Whitney U and Chi square analysis. The significant parameters were re-evaluated for sensitivity, specificity and cut-off points. ROC curves and AUC values were generated among these variables to assess prognostic utility for outcome.
    RESULTS: Amongst all 7 variables tested, 2 were tested to be significant (p: < 0.05). From the sensitivity, specificity and ROC analysis, the best predictor for death was (SI 2) with a sensitivity of 80.8%, specificity of 79.2%, AUC value of 0.8894 [CI 95 0.8052, 0.9736] at a cut-off point of > or = 1.0.
    CONCLUSION: (SI 2) may potentially be utilized as a reliable predictor for death in patients presenting with septic shock and severe sepsis in an emergency department. This parameters should be further analyzed in a larger scale prospective study to determine its validity.
    Matched MeSH terms: Heart Rate*
  18. Fulltext Antepartum fetal heart rate feature extraction and classification using empirical mode decomposition and support vector machine
    Krupa N, Ali M, Zahedi E, Ahmed S, Hassan FM
    Biomed Eng Online, 2011;10:6.
    PMID: 21244712 DOI: 10.1186/1475-925X-10-6
    Cardiotocography (CTG) is the most widely used tool for fetal surveillance. The visual analysis of fetal heart rate (FHR) traces largely depends on the expertise and experience of the clinician involved. Several approaches have been proposed for the effective interpretation of FHR. In this paper, a new approach for FHR feature extraction based on empirical mode decomposition (EMD) is proposed, which was used along with support vector machine (SVM) for the classification of FHR recordings as 'normal' or 'at risk'.
    Matched MeSH terms: Heart Rate, Fetal/physiology*
  19. Newborn seizure detection based on heart rate variability
    Malarvili MB, Mesbah M
    IEEE Trans Biomed Eng, 2009 Nov;56(11):2594-603.
    PMID: 19628449 DOI: 10.1109/TBME.2009.2026908
    In this paper, we investigate the use of heart rate variability (HRV) for automatic newborn seizure detection. The proposed method consists of a sequence of processing steps, namely, obtaining HRV from the ECG, extracting a discriminating HRV feature set, selecting an optimal subset from the full feature set, and, finally, classifying the HRV into seizure/nonseizure using a supervised statistical classifier. Due to the fact that HRV signals are nonstationary, a set of time-frequency features from the newborn HRV is proposed and extracted. In order to achieve efficient HRV-based automatic newborn seizure detection, a two-phase wrapper-based feature selection technique is used to select the feature subset with minimum redundancy and maximum class discriminability. Tested on ECG recordings obtained from eight newborns with identified EEG seizure, the proposed HRV-based neonatal seizure detection algorithm achieved 85.7% sensitivity and 84.6% specificity. These results suggest that the HRV is sensitive to changes in the cardioregulatory system induced by the seizure, and therefore, can be used as a basis for an automatic seizure detection.
    Matched MeSH terms: Heart Rate/physiology*
  20. Transabdominal fetal heart rate detection using NIR photopleythysmography: instrumentation and clinical results
    Gan KB, Zahedi E, Mohd Ali MA
    IEEE Trans Biomed Eng, 2009 Aug;56(8):2075-82.
    PMID: 19403354 DOI: 10.1109/TBME.2009.2021578
    In obstetrics, fetal heart rate (FHR) detection remains the standard for intrapartum assessment of fetal well-being. In this paper, a low-power (< 55 mW) optical technique is proposed for transabdominal FHR detection using near-infrared photoplesthysmography (PPG). A beam of IR-LED (890 nm) propagates through to the maternal abdomen and fetal tissues, resulting in a mixed signal detected by a low-noise detector situated at a distance of 4 cm. Low-noise amplification and 24-bit analog-to-digital converter resolution ensure minimum effect of quantization noise. After synchronous detection, the mixed signal is processed by an adaptive filter to extract the fetal signal, whereas the PPG from the mother's index finger is the reference input. A total of 24 datasets were acquired from six subjects at 37 +/- 2 gestational weeks. Results show a correlation coefficient of 0.96 (p-value < 0.001) between the proposed optical and ultrasound FHR, with a maximum error of 4%. Assessment of the effect of probe position on detection accuracy indicates that the probe should be close to fetal tissues, but not necessarily restricted to head or buttocks.
    Matched MeSH terms: Heart Rate, Fetal/physiology*
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