Displaying publications 41 - 60 of 269 in total

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  1. Mujib Kamal S, Babini MH, Krejcar O, Namazi H
    Front Physiol, 2020;11:602027.
    PMID: 33324242 DOI: 10.3389/fphys.2020.602027
    Walking is an everyday activity in our daily life. Because walking affects heart rate variability, in this research, for the first time, we analyzed the coupling among the alterations of the complexity of walking paths and heart rate. We benefited from the fractal theory and sample entropy to evaluate the influence of the complexity of paths on the complexity of heart rate variability (HRV) during walking. We calculated the fractal exponent and sample entropy of the R-R time series for nine participants who walked on four paths with various complexities. The findings showed a strong coupling among the alterations of fractal dimension (an indicator of complexity) of HRV and the walking paths. Besides, the result of the analysis of sample entropy also verified the obtained results from the fractal analysis. In further studies, we can analyze the coupling among the alterations of the complexities of other physiological signals and walking paths.
    Matched MeSH terms: Heart Rate
  2. Wu M, Lu Y, Yang W, Wong SY
    Front Comput Neurosci, 2020;14:564015.
    PMID: 33469423 DOI: 10.3389/fncom.2020.564015
    Cardiovascular diseases (CVDs) are the leading cause of death today. The current identification method of the diseases is analyzing the Electrocardiogram (ECG), which is a medical monitoring technology recording cardiac activity. Unfortunately, looking for experts to analyze a large amount of ECG data consumes too many medical resources. Therefore, the method of identifying ECG characteristics based on machine learning has gradually become prevalent. However, there are some drawbacks to these typical methods, requiring manual feature recognition, complex models, and long training time. This paper proposes a robust and efficient 12-layer deep one-dimensional convolutional neural network on classifying the five micro-classes of heartbeat types in the MIT- BIH Arrhythmia database. The five types of heartbeat features are classified, and wavelet self-adaptive threshold denoising method is used in the experiments. Compared with BP neural network, random forest, and other CNN networks, the results show that the model proposed in this paper has better performance in accuracy, sensitivity, robustness, and anti-noise capability. Its accurate classification effectively saves medical resources, which has a positive effect on clinical practice.
    Matched MeSH terms: Heart Rate
  3. Ibrahimy MI, Ahmed F, Mohd Ali MA, Zahedi E
    IEEE Trans Biomed Eng, 2003 Feb;50(2):258-62.
    PMID: 12665042
    An algorithm based on digital filtering, adaptive thresholding, statistical properties in the time domain, and differencing of local maxima and minima has been developed for the simultaneous measurement of the fetal and maternal heart rates from the maternal abdominal electrocardiogram during pregnancy and labor for ambulatory monitoring. A microcontroller-based system has been used to implement the algorithm in real-time. A Doppler ultrasound fetal monitor was used for statistical comparison on five volunteers with low risk pregnancies, between 35 and 40 weeks of gestation. Results showed an average percent root mean square difference of 5.32% and linear correlation coefficient from 0.84 to 0.93. The fetal heart rate curves remained inside a +/- 5-beats-per-minute limit relative to the reference ultrasound method for 84.1% of the time.
    Matched MeSH terms: Heart Rate/physiology; Heart Rate, Fetal/physiology*
  4. Rashid, A.S., Khatun, S., Ali, B.M., Khazani, A.M.
    ASM Science Journal, 2008;2(1):13-22.
    MyJurnal
    An analysis of the power spectral density of ultra-wideband (UWB) signals is presented in order to evaluate the effects of cumulative interference from multiple UWB devices on victim narrowband systems in their overlay bands like WiFi (i.e. IEEE802.11a) and 3rdG systems (Universal mobile telecommunications system/wideband code division multiple access). In this paper, the performances are studied through the bit-error-rate as a function of signal-to-noise ratio as well as signal-to-interference power ratio using computer simulation and exploiting the realistic channel model (i.e. modified Saleh-Valenzuela model). Several modifications of a generic Gaussian pulse waveform with lengths in the order of nanoseconds were used to generate UWB spectra. Different kinds of pulse modulation (i.e. antipodal and orthogonal) schemes were also taken into account.
    Matched MeSH terms: Heart Rate
  5. Tomitani N, Hoshide S, Buranakitjaroen P, Chia YC, Park S, Chen CH, et al.
    J Clin Hypertens (Greenwich), 2021 03;23(3):606-613.
    PMID: 33694262 DOI: 10.1111/jch.14239
    Increased heart rate is a predictor of cardiovascular disease, heart failure, and all-cause mortality. In those with high heart rates, interventions for heart rate reduction have been associated with reductions in coronary events. Asia is a diverse continent, and the prevalences of hypertension and cardiovascular disease differ among its countries. The present analysis of AsiaBP@Home study data investigated differences among resting heart rates (RHRs) in 1443 hypertensive patients from three Asian regions: East Asia (N = 595), Southeast Asia (N = 680), and South Asia (N = 168). This is the first study to investigate self-measured RHR values in different Asian countries/regions using the same validated home BP monitoring device (Omron HEM-7130-AP/HEM-7131-E). Subjects in South Asia had higher RHR values compared with the other two regions, and the regional tendency found in RHR values was different from that found in BP values. Even after adjusting for age, sex, BMI, habitual alcohol consumption, current smoking habit, shift worker, hyperlipidemia, diabetes, chronic kidney disease, history of heart failure, and beta-blocker use, both office and home RHR values in South Asia were the highest among Asia (mean values ± SE of office: East Asia [E] 75.2 ± 1.5 bpm, Southeast Asia [Se] 76.7 ± 1.5 bpm, South Asia [S] 81.9 ± 1.4 bpm; home morning: [E] 69.0 ± 1.2 bpm, [Se] 72.9 ± 1.2 bpm, [S] 74.9 ± 1.1 bpm; home evening: [E] 74.6 ± 1.2 bpm, [Se] 78.3 ± 1.2 bpm, [S] 83.8 ± 1.1 bpm). Given what is known about the impact of RHR on heart disease, our findings suggest the possible benefit of regionally tailored clinical strategies for cardiovascular disease prevention.
    Matched MeSH terms: Heart Rate
  6. Yeap TB, Teah MK, Thevarajah S, Azerai S
    BMJ Case Rep, 2021 Mar 25;14(3).
    PMID: 33766970 DOI: 10.1136/bcr-2020-241176
    Wolff-Parkinson-White (WPW) syndrome is an extremely rare congenital cardiac conduction disorder. It is due to an aberrant pathway between the atrium and ventricle. This manuscript entails a man with an underlying WPW who was posted for an elective orchidectomy. We discussed the important perioperative precautions to prevent the precipitation of acute cardiac events.
    Matched MeSH terms: Heart Rate
  7. Aris A, Sulaiman S, Che Hasan MK
    Enferm Clin, 2021 04;31 Suppl 2:S10-S15.
    PMID: 33849138 DOI: 10.1016/j.enfcli.2020.10.006
    This study aimed to investigate the effects of music on physiological outcomes for post-operative TKA patients in the recovery unit. Fifty-six patients from Hospital Melaka were randomized equally into intervention (IG) and control groups (CG). IG received the usual care and listened to selected music for 60min, while the CG received only the usual care. Systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), respiration rate (RR) and oxygen saturation (SpO2) were measured on arrival and after 10, 20, 30, and 60min in the recovery unit. A significant difference between groups was observed in RR upon arrival (U=276.5, p=0.029) and after 10min (U=291, p=0.45). Meanwhile, there were significant differences in DBP (F=3.158, p=0.032), RR (χ2=15.956, p=0.003) and SpO2 (χ2=14.084, p=0.007) over time in the IG. Overall, listening to music immediately after TKA has an effect on DBP, RR, and SpO2.
    Matched MeSH terms: Heart Rate
  8. Todd J, Cardellicchio P, Swami V, Cardini F, Aspell JE
    Cortex, 2021 10;143:254-266.
    PMID: 34482968 DOI: 10.1016/j.cortex.2021.07.006
    Interoception refers to the processing of internal bodily stimuli, while body image refers to appearance-related perceptions, affect, and cognitions. Previous research has found that body image is associated with self-reported and behavioural indices of interoception. Here, we extended this research by examining associations between measures of positive (i.e., body appreciation, functionality appreciation) and negative body image (i.e., body shame, weight preoccupation) and two electrophysiological indices of interoceptive processing, namely the heartbeat evoked potential (HEP) and gastric-alpha phase-amplitude coupling (PAC), in a sample of 36 adults. Significant negative associations were identified between the indices of negative body image and the interoception variables. Specifically, more negative HEP amplitude and lower gastric-alpha PAC were both associated with greater body shame and weight preoccupation. However, no significant associations were identified for the indices of positive body image. These findings extend previous work by demonstrating that there are significant associations between negative body image and previously unexplored components of cardiac and gastric interoception. This, in turn, could have important clinical applications, such as the HEP and gastric-alpha PAC both serving as biomarkers of negative body image.
    Matched MeSH terms: Heart Rate
  9. Feng YX, Roslan NS, Izhar LI, Abdul Rahman M, Faye I, Ho ETW
    PMID: 34574777 DOI: 10.3390/ijerph18189858
    Studies showed that introversion is the strongest personality trait related to perceived social isolation (loneliness), which can predict various complications beyond objective isolation such as living alone. Lonely individuals are more likely to resort to social media for instantaneous comfort, but it is not a perpetual solution. Largely negative implications including poorer interpersonal relationship and depression were reported due to excessive social media usage. Conversational task is an established intervention to improve verbal communication, cognitive and behavioral adaptation among lonely individuals. Despite that behavioral benefits have been reported, it is unclear if they are accompanied by objective benefits underlying physiological changes. Here, we investigate the physiological signals from 28 healthy individuals during a conversational task. Participants were ranked by trait extraversion, where greater introversion is associated with increased susceptibility to perceived social isolation as compared to participants with greater extraversion as controls. We found that introverts had a greater tendency to be neurotic, and these participants also exhibited significant differences in task-related electrodermal activity (EDA), heart rate (HR) and HR variability (HRV) as compared to controls. Notably, resting state HRV among individuals susceptible to perceived loneliness was below the healthy thresholds established in literature. Conversational task with a stranger significantly increased HRV among individuals susceptible to isolation up to levels as seen in controls. Since HRV is also elevated by physical exercise and administration of oxytocin hormone (one form of therapy for behavioral isolation), conversational therapy among introverts could potentially confer physiological benefits to ameliorate social isolation and loneliness. Our findings also suggest that although the recent pandemic has changed how people are interacting typically, we should maintain a healthy dose of social interaction innovatively.
    Matched MeSH terms: Heart Rate
  10. Cimr D, Busovsky D, Fujita H, Studnicka F, Cimler R, Hayashi T
    Comput Methods Programs Biomed, 2023 Sep;239:107623.
    PMID: 37276760 DOI: 10.1016/j.cmpb.2023.107623
    BACKGROUND AND OBJECTIVES: Prediction of patient deterioration is essential in medical care, and its automation may reduce the risk of patient death. The precise monitoring of a patient's medical state requires devices placed on the body, which may cause discomfort. Our approach is based on the processing of long-term ballistocardiography data, which were measured using a sensory pad placed under the patient's mattress.

    METHODS: The investigated dataset was obtained via long-term measurements in retirement homes and intensive care units (ICU). Data were measured unobtrusively using a measuring pad equipped with piezoceramic sensors. The proposed approach focused on the processing methods of the measured ballistocardiographic signals, Cartan curvature (CC), and Euclidean arc length (EAL).

    RESULTS: For analysis, 218,979 normal and 216,259 aberrant 2-second samples were collected and classified using a convolutional neural network. Experiments using cross-validation with expert threshold and data length revealed the accuracy, sensitivity, and specificity of the proposed method to be 86.51 CONCLUSIONS: The proposed method provides a unique approach for an early detection of health concerns in an unobtrusive manner. In addition, the suitability of EAL over the CC was determined.

    Matched MeSH terms: Heart Rate
  11. Kunasegaran K, Ismail AMH, Ramasamy S, Gnanou JV, Caszo BA, Chen PL
    PeerJ, 2023;11:e15744.
    PMID: 37637168 DOI: 10.7717/peerj.15744
    Mental fatigue has shown to be one of the root causes of decreased productivity and overall cognitive performance, by decreasing an individual's ability to inhibit responses, process information and concentrate. The effects of mental fatigue have led to occupational errors and motorway accidents. Early detection of mental fatigue can prevent the escalation of symptoms that may lead to chronic fatigue syndrome and other disorders. To date, in clinical settings, the assessment of mental fatigue and stress is done through self-reported questionnaires. The validity of these questionnaires is questionable, as they are highly subjective measurement tools and are not immune to response biases. This review examines the wider presence of mental fatigue in the general population and critically compares its various detection techniques (i.e., self-reporting questionnaires, heart rate variability, salivary cortisol levels, electroencephalogram, and saccadic eye movements). The ability of these detection tools to assess inhibition responses (which are sensitive enough to be manifested in a fatigue state) is specifically evaluated for a reliable marker in identifying mentally fatigued individuals. In laboratory settings, antisaccade tasks have been long used to assess inhibitory control and this technique can potentially serve as the most promising assessment tool to objectively detect mental fatigue. However, more studies need to be conducted in the future to validate and correlate this assessment with other existing measures of mental fatigue detection. This review is intended for, but not limited to, mental health professionals, digital health scientists, vision researchers, and behavioral scientists.
    Matched MeSH terms: Heart Rate
  12. Ng CG, Lai KT, Tan SB, Sulaiman AH, Zainal NZ
    J Palliat Med, 2016 09;19(9):917-24.
    PMID: 27110900 DOI: 10.1089/jpm.2016.0046
    BACKGROUND: Palliative cancer patients suffer from high levels of distress. There are physiological changes in relation to the level of perceived distress.

    OBJECTIVE: To study the efficacy of 5 minutes of mindful breathing (MB) for rapid reduction of distress in a palliative setting. Its effect to the physiological changes of the palliative cancer patients was also examined.

    METHODS: This is a randomized controlled trial. Sixty palliative cancer patients were recruited. They were randomly assigned to either 5 minutes of MB or normal listening arms. The changes of perceived distress, blood pressure, pulse rate, breathing rate, galvanic skin response, and skin surface temperature of the patients were measured at baseline, after intervention, and 10 minutes post-intervention.

    RESULTS: There was significant reduction of perceived distress, blood pressure, pulse rate, breathing rate, and galvanic skin response; also, significant increment of skin surface temperature in the 5-minute MB group. The changes in the 5-minute breathing group were significantly higher than the normal listening group.

    CONCLUSION: Five-minute MB is a quick, easy to administer, and effective therapy for rapid reduction of distress in palliative setting. There is a need for future study to establish the long-term efficacy of the therapy.

    Matched MeSH terms: Heart Rate
  13. 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
  14. 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
  15. 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
  16. 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
  17. Noor'Ain Azizan, Seri Rahayu Kamat, Nur Syafiqah Rayme, Ruzy Haryati Hambali
    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
  18. Azimah Ahmad, Normah Jusoh, Ruaibah Yazani Tengah
    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
  19. Nazrolnizah Mohamad Noorzeli, Muhammad Nubli Abdul Wahab
    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
  20. Hassan MA, Malik AS, Fofi D, Karasfi B, Meriaudeau F
    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
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