Displaying all 10 publications

Abstract:
Sort:
  1. Sidek Nontak MA
    Med J Malaysia, 1981 Mar;36(1):52-7.
    PMID: 7321939
    Matched MeSH terms: Heart Diseases/diagnosis*
  2. Chowdhury MEH, Khandakar A, Alzoubi K, Mansoor S, M Tahir A, Reaz MBI, et al.
    Sensors (Basel), 2019 Jun 20;19(12).
    PMID: 31226869 DOI: 10.3390/s19122781
    One of the major causes of death all over the world is heart disease or cardiac dysfunction. These diseases could be identified easily with the variations in the sound produced due to the heart activity. These sophisticated auscultations need important clinical experience and concentrated listening skills. Therefore, there is an unmet need for a portable system for the early detection of cardiac illnesses. This paper proposes a prototype model of a smart digital-stethoscope system to monitor patient's heart sounds and diagnose any abnormality in a real-time manner. This system consists of two subsystems that communicate wirelessly using Bluetooth low energy technology: A portable digital stethoscope subsystem, and a computer-based decision-making subsystem. The portable subsystem captures the heart sounds of the patient, filters and digitizes, and sends the captured heart sounds to a personal computer wirelessly to visualize the heart sounds and for further processing to make a decision if the heart sounds are normal or abnormal. Twenty-seven t-domain, f-domain, and Mel frequency cepstral coefficients (MFCC) features were used to train a public database to identify the best-performing algorithm for classifying abnormal and normal heart sound (HS). The hyper parameter optimization, along with and without a feature reduction method, was tested to improve accuracy. The cost-adjusted optimized ensemble algorithm can produce 97% and 88% accuracy of classifying abnormal and normal HS, respectively.
    Matched MeSH terms: Heart Diseases/diagnosis*
  3. Moein S
    Adv Exp Med Biol, 2010;680:109-16.
    PMID: 20865492 DOI: 10.1007/978-1-4419-5913-3_13
    In this paper, application of Artificial Neural Network (ANN) for electrocardiogram (ECG) signal noise removal has been investigated. First, 100 number of ECG signals are selected from Physikalisch-Technische Bundesanstalt (PTB) database and Kalman filter is applied to remove their low pass noise. Then a suitable dataset based on denoised ECG signal is configured and used to a Multilayer Perceptron (MLP) neural network to be trained. Finally, results and experiences are discussed and the effect of changing different parameters for MLP training is shown.
    Matched MeSH terms: Heart Diseases/diagnosis
  4. Selvaratnam G, Philips RH, Mohamed AK
    Adverse Drug React Toxicol Rev, 1999 Jun;18(2):61-105.
    PMID: 10478286
    Matched MeSH terms: Heart Diseases/diagnosis
  5. Ong LS, Hamiadji T, Chong KL
    Med J Malaysia, 1980 Sep;35(1):53-7.
    PMID: 7253999
    This study is based on measuring the d.c. (direct current) skin conductance of the acupuncture points representing the heart on the external ear. The subjects were 30 healthy volunteers and 20 cardiac patients. The results obtained showed that the skin resistance of the heart acupuncture loci on the auricle of the cardiac patients were markedly reduced when compared with that of the healthy controls. The value of this method of auricular electroacupuncture diagnosis is discussed.
    Matched MeSH terms: Heart Diseases/diagnosis
  6. Roslan A, Kamsani SH, Nay TW, Tan KL, Hakim N, Tan AM, et al.
    Med J Malaysia, 2018 12;73(6):388-392.
    PMID: 30647209
    OBJECTIVE: Cardiac amyloidosis is under diagnosed and its prevalence is unknown. This is a retrospective, nonrandomised, single centre study of patients with endomyocardial biopsy-proven cardiac amyloidosis focusing on their echocardiographic and electrocardiogram (ECG) presentations. This is the first case series in Malaysia on this subject.

    METHODS: We identified all of our endomyocardial biopsyproven cardiac amyloidosis patients from January 2010 to January 2018 and reviewed their medical records. All patients echocardiographic and ECG findings reviewed and analysed comparing to basic mean population value.

    RESULTS: In total there are 13 biopsy-proven cardiac amyloidosis patients. All of the biopsies shows light chain (AL) amyloid. Majority of the patients (8, 61.5%) is male, and most of our patients (8, 61.5%) is Chinese. All seven patients on whom we performed deformation imaging have apical sparing pattern on longitudinal strain echocardiogram. Mean ejection fraction is 49.3%, (SD=7.9). All patients have concentric left ventricular hypertrophy and right ventricular hypertrophy. Diastolic dysfunction was present in all of our patients with nine out of 13 patients (69.2%) having restrictive filling patterns (E/A ≥2.0 E/e' ≥15). On electrocardiogram, 12 (92%) patients have prolonged PR interval (median 200ms, IQR 76.50ms) and 9 (69.2%) patients have pseudoinfarct pattern.

    CONCLUSION: Echocardiography plays an important role in diagnosing cardiac amyloidosis. The findings of concentric left ventricular hypertrophy with preserved ejection fraction without increased in loading condition should alert the clinician towards its possibility. This is further supported by right ventricular hypertrophy and particularly longitudinal strain imaging showing apical sparing pattern.

    Matched MeSH terms: Heart Diseases/diagnosis
  7. Brun SP
    Aust J Gen Pract, 2020 2 3;49(1-2):23-31.
    PMID: 32008269 DOI: 10.31128/AJGP-09-19-5081
    BACKGROUND: Primary care physicians are often responsible for the care of people involved in sporting and exercise activities at various competitive levels. Issues confronting the athlete and their primary care physician are the potentially serious risks, responsibilities and challenges facing those involved with sport and physical activity.

    OBJECTIVE: The aim of this article is to address three of the most important challenges currently facing the athlete and primary care physician caring for athletes. The challenges are to recognise the potential risks to the athlete of sustaining a sudden cardiac arrest, sports-related concussion or doping violation in sport, as each of these have serious implications for life, wellbeing, performance and/or reputation. Education and risk mitigation are also essential components of care that will be addressed.

    DISCUSSION: The primary care physician caring for athletes has a pivotal role in ensuring appropriate screening, education and ongoing surveillance to minimise the potentially serious risks facing those involved with physical activity.

    Matched MeSH terms: Heart Diseases/diagnosis
  8. Ong ML, Veerapen K, Chambers JB, Lim MN, Manivasagar M, Wang F
    Int J Cardiol, 1992 Jan;34(1):69-74.
    PMID: 1548111
    We conducted a prospective longitudinal study to determine the nature and prevalence of cardiac abnormalities in systemic lupus erythematosus and to study their natural history and relationship with disease activity. Forty consecutive inpatients with systemic lupus erythematosus were studied during their admission and subsequently 6 to 12 months later. On each occasion a clinical cardiovascular examination was carried out, disease activity was scored using the "Lupus Activity Criteria Count" and a Doppler echocardiographic examination was carried out. 72.5% of patients had an abnormal echocardiogram in the first study while 51.7% were abnormal during the follow-up study. Valvar disease occurred in 37.5% of patients. The mitral valve was most commonly affected. Libman-Sacks endocarditis was rare (2.5%). Pericardial effusions were seen in 36.2% of echocardiograms. The majority (76.0%) of these were associated with hypoalbuminaemia. 80.0% of patients had active disease during the first examination and 41.4% at follow-up. There was no correlation between activity of disease and prevalence of cardiac abnormalities at either examination. We conclude that cardiac disease is common in systemic lupus erythematosus. Prevalence of cardiac abnormality did not correlate with disease activity.
    Matched MeSH terms: Heart Diseases/diagnosis
  9. ASCI Practice Guideline Working Group, Beck KS, Kim JA, Choe YH, Sim KH, Hoe J, et al.
    Korean J Radiol, 2017 Nov-Dec;18(6):871-880.
    PMID: 29089819 DOI: 10.3348/kjr.2017.18.6.871
    In 2010, the Asian Society of Cardiovascular Imaging (ASCI) provided recommendations for cardiac CT and MRI, and this document reflects an update of the 2010 ASCI appropriate use criteria (AUC). In 2016, the ASCI formed a new working group for revision of AUC for noninvasive cardiac imaging. A major change that we made in this document is the rating of various noninvasive tests (exercise electrocardiogram, echocardiography, positron emission tomography, single-photon emission computed tomography, radionuclide imaging, cardiac magnetic resonance, and cardiac computed tomography/angiography), compared side by side for their applications in various clinical scenarios. Ninety-five clinical scenarios were developed from eight selected pre-existing guidelines and classified into four sections as follows: 1) detection of coronary artery disease, symptomatic or asymptomatic; 2) cardiac evaluation in various clinical scenarios; 3) use of imaging modality according to prior testing; and 4) evaluation of cardiac structure and function. The clinical scenarios were scored by a separate rating committee on a scale of 1-9 to designate appropriate use, uncertain use, or inappropriate use according to a modified Delphi method. Overall, the AUC ratings for CT were higher than those of previous guidelines. These new AUC provide guidance for clinicians choosing among available testing modalities for various cardiac diseases and are also unique, given that most previous AUC for noninvasive imaging include only one imaging technique. As cardiac imaging is multimodal in nature, we believe that these AUC will be more useful for clinical decision making.
    Matched MeSH terms: Heart Diseases/diagnosis*
  10. Akyüz E, Üner AK, Köklü B, Arulsamy A, Shaikh MF
    J Neurosci Res, 2021 09;99(9):2059-2073.
    PMID: 34109651 DOI: 10.1002/jnr.24861
    Epilepsy is a debilitating disorder of uncontrollable recurrent seizures that occurs as a result of imbalances in the brain excitatory and inhibitory neuronal signals, that could stem from a range of functional and structural neuronal impairments. Globally, nearly 70 million people are negatively impacted by epilepsy and its comorbidities. One such comorbidity is the effect epilepsy has on the autonomic nervous system (ANS), which plays a role in the control of blood circulation, respiration and gastrointestinal function. These epilepsy-induced impairments in the circulatory and respiratory systems may contribute toward sudden unexpected death in epilepsy (SUDEP). Although, various hypotheses have been proposed regarding the role of epilepsy on ANS, the linking pathological mechanism still remains unclear. Channelopathies and seizure-induced damages in ANS-control brain structures were some of the causal/pathological candidates of cardiorespiratory comorbidities in epilepsy patients, especially in those who were drug resistant. However, emerging preclinical research suggest that neurotransmitter/receptor dysfunction and synaptic changes in the ANS may also contribute to the epilepsy-related autonomic disorders. Thus, pathological mechanisms of cardiorespiratory dysfunction should be elucidated by considering the modifications in anatomy and physiology of the autonomic system caused by seizures. In this regard, we present a comprehensive review of the current literature, both clinical and preclinical animal studies, on the cardiorespiratory findings in epilepsy and elucidate the possible pathological mechanisms of these findings, in hopes to prevent SUDEP especially in patients who are drug resistant.
    Matched MeSH terms: Heart Diseases/diagnosis
Filters
Contact Us

Please provide feedback to Administrator ([email protected])

External Links