Biomedical subjects

Venkataraman Anantharaman

Publications and source records attributed to Venkataraman Anantharaman.

5 recordsLinked to original sources

PubMed2006

Phonocardiographic signal analysis method using a modified hidden Markov model.

Auscultation is an important diagnostic indicator for cardiovascular analysis. Heart sound classification and analysis play an important role in the auscultative diagnosis. This study uses a combination of Mel-frequency cepstral coefficient (MFCC) and hidden Markov model (HMM) to efficiently extract the features for pre-processed heart sound cycles for the purpose of classification. A system was developed for the interpretation of heart sounds acquired by phonocardiography using pattern recognition. The task of feature extraction was performed using three methods: time-domain feature, short-time Fourier transforms (STFT) and MFCC. The performances of these feature extraction methods were then compared. The results demonstrated that the proposed method using MFCC yielded improved interpretative information. Following the feature extraction, an automatic classification process was performed using HMM. Satisfactory classification results (sensitivity > or =0.952; specificity > or =0.953) were achieved for normal subjects and those with various murmur characteristics. These results were based on 1398 datasets obtained from 41 recruited subjects and downloaded from a public domain. Constituents characteristics of heart sounds were also evaluated using the proposed system. The findings herein suggest that the described system may have the potential to be used to assist doctors for a more objective diagnosis.

Data Interpretation, Statistical↗

PubMed2006

The Internet Tracking Registry of Acute Coronary Syndromes (i*trACS): a multicenter registry of patients with suspicion of acute coronary syndromes reported using the standardized reporting guidelines for emergency department chest pain studies.

STUDY OBJECTIVE: Observational studies of well-described patient populations presenting to emergency departments (EDs) with suspicion of acute coronary syndrome are necessary to understand the relationships between patients' signs and symptoms, cardiac risk profile, test results, practice patterns, and outcomes. We describe the methods for data collection and the ED population enrolled in a multicenter registry of patients with chest pain. METHODS: Patients older than 18 years, presenting to one of 8 EDs in the United States or 1 ED in Singapore, and with possible acute coronary syndrome were enrolled in the Internet Tracking Registry of Acute Coronary Syndromes between June 1999 and August 2001. Prospective data, including presenting signs and symptoms, ECG findings, and the ED physician's initial impression of risk, were systematically collected. Medical record review or daily follow-up was used to obtain cardiac biomarker results, invasive and noninvasive testing, treatments, procedures, and inhospital outcomes. Thirty-day outcomes were determined by telephone follow-up and medical record review. RESULTS: The registry includes 15,608 patients, with 17,713 visits. Chest pain was the chief complaint in 71% of visits. The ECG was diagnostic of ischemia or infarction in 10.1% and positive cardiac biomarkers were observed in 10% of visits. Forty-three percent of patients were sent home directly from the ED. Of admitted patients, 5% died by 30 days, and 3% had documented coronary artery disease or had undergone percutaneous coronary intervention or coronary artery bypass grafting within 30 days. For patients discharged directly from the ED, 0.4% died or had a documented myocardial infarction within 30 days. Coronary artery bypass graft surgery, percutaneous coronary intervention, or a diagnosis of coronary artery disease was found in 0.5% of discharged patients. CONCLUSION: A unique description of undifferentiated ED chest pain patients with suspected acute coronary syndrome is provided. The data set can be used to generate and explore hypotheses to improve understanding of the complex relationships between presentation, treatment, testing, intervention and outcomes.

Biomarkers↗

PubMed2002

Road traffic accident mortality in Singapore.

The aim of this study was to identify factors that contribute to road traffic accident mortality and the patterns of injuries sustained by these victims, with a view to identifying areas for future intervention. All road traffic accident deaths that occurred in Singapore over a period of 1 year were reviewed. A total of 226 deaths occurred: 82.3% of the victims were male. The median age was 31 years. Blood alcohol was detected in 42 (18.7%) victims. In general, head (86.7%), followed by thoracic (67.7%) and abdominal (31.4%) injuries, were the most common injuries. Severe lower extremity trauma was most common among pedestrians and pedal cyclists (20.6% and 11.0%, respectively). The mean Injury Severity Score was 38.7. The relative risk of mortality between motorcyclists and motorcar drivers was 18.8:1. Suggestions for future prevention and intervention include stricter enforcement of speed limits, more severe penalties for drunk driving, helmet use among pedal cyclists, and the introduction of pre-hospital advanced airway management.

Abbreviated Injury Scale↗

PubMed2002

Maritime radio-medical services: the Singapore General Hospital experience.

Medical care for the sick and injured on a variety of sea-faring vessels throughout the world represents a challenging area of medical care. The scope is extremely broad and unique in terms of the problems encountered at sea, logistical difficulties in assessment and treatment of patients, as well as the provision of definitive care. The problems of sparse resources availability, great distances, isolation, communications, accessibility, and weather are also very real. In Singapore, radio-medical advice was first coordinated by the Port Health Authority. In 1980, the accident and emergency department at Singapore General Hospital took over this responsibility. This report analyzes 2,320 calls received over a period of 21 years (January 1980 to December 2000). It highlights the common consultations, modes of communications, treatment and management prescribed, training requirements, as well as the challenges for the future.

Emergencies↗

PubMedDate not supplied

Cardiac arrest and resuscitation epidemiology in Singapore (CARE I study).

OBJECTIVES: To describe the epidemiology of out-of-hospital cardiac arrest (OHCA) in Singapore, the emergency medical services (EMS) response, and to identify possible areas for improvement. METHODS: This prospective observational study constitutes phase I of the Cardiac Arrest and Resuscitation Epidemiology (CARE) project. Included were all patients with nontraumatic OHCA conveyed by the national emergency ambulance service. Patient characteristics, cardiac arrest circumstances, EMS response, and outcomes were recorded according to the Utstein style. RESULTS: From October 1, 2001, to April 30, 2002, 548 patients were enrolled into the study. Mean (standard deviation [SD]) age was 62.2 (17.9) years, with a male predominance (65.6%). A total of 59.8% of collapses occurred at home, 35.3% of arrests were not witnessed, and bystander cardiopulmonary resuscitation was present for 20.6%. Mean (SD) time from collapse to call received by EMS was 10.6 (13.1) minutes. Mean (SD) EMS response time was 10.2 (4.3) minutes. Mean (SD) time from call to defibrillation was 16.7 (7.2) minutes. Mean (SD) on-scene time was 9.9 (4.5) minutes. First presenting rhythm at the scene was asystole in 54.5%, pulseless electrical activity 22.9%, ventricular fibrillation 19.6%, and ventricular tachycardia 0.4%. Of all cardiac arrests, 351 had resuscitation attempted and were of cardiac origin. Among these patients, 17.9% had return of spontaneous circulation, 8.5% survived to hospital admission, and 2.0% survived to discharge. CONCLUSION: CARE I establishes the baseline for the evaluation of incremental introduction of prehospital Advanced Cardiac Life Support interventions planned for future phases. Continuing efforts should be made to strengthen all chains of survival. This represents the most comprehensive OHCA study yet conducted in Singapore.

Age Distribution↗