Knowledge of signal processing is very important for medical students. A medical signal may be used for monitoring, constructing an image, or for extracting the numerical quantity of a parameter. This information forms a basis for medical decisions. However, the processing of the signal may lead to distortion and an incorrect interpretation. The present article describes an educational practica...

Fetal Electrocardiogram (FECG) can provide important clinical information for the assessment of fetal well-being. However, the extraction of FECG from the maternal abdominal wall remains an open problem due to various kinds of interferences and noises, where the maternal Electrocardiogram (MECG) is the dominant source of interference. In this study, a novel FECG extraction framework by combinin...

seventy seven adult large mixed breed dogs of either sex were included in this study. the animals were randomly divided into four groups and received the following drug combinations intramuscularly: group 1 xylazine (0.5 mg/kg) and acepromazine (0.05 mg/kg), group 2 xylazine (0.8 mg/kg) and acepromazine (0.03 mg/kg), group 3 xylazine (0.3 mg/kg) and acepromazine (0.08 mg/kg) and group 4 xylazin...

background the increasing use of mobile phones in recent years has caused concerns about the effects of electromagnetic waves of mobile phonesonhuman biological processes. objectives this study was conducted in order to survey the effects of mobile electromagnetic waves on electro cardiogram parameters as heart rate, tp segment, pr interval, time of qrs and t waves, and voltage of r wave. patie...

PURPOSE We aimed to identify predictors of atrial fibrillation recurrence after conversion to sinus rhythm. MATERIAL/METHODS We included 100 patients with a history of documented atrial fibrillation in the last 12 months that were assessed by transthoracic echocardiography, 12-lead electrocardiogram and signal averaged electrocardiogram of the P wave. Follow-up was 7.3 ± 2.2 months. RESULTS...

In the modern world of automation, biological signals, especially Electroencephalogram (EEG) and Electrocardiogram (ECG), are gaining wide attention as a source of biometric information. Earlier studies have shown that EEG and ECG show versatility with individuals and every individual has distinct EEG and ECG spectrum. EEG (which can be recorded from the scalp due to the effect of millions of n...

This paper describes a computer based signal acquisition, processing and analysis system using LabVIEW, a graphical programming language for engineering applications. Biomedical signal acquisition has greatly advanced over the years, using many different technologies. E series multifunction data acquisition cards are used for the acquisition of biomedical signals and the appropriate software NI...

Monitoring of cardiac activity of post operating patients in a driving state is one of the emerging applications in bio medical research. The detection of QRS complexes in an Electrocardiogram (ECG) signal provides information about the heart rate within the heart as well as various abnormalities such as hyperkalemia, cardiac hypertrophy, etc. A system that detects drowsiness and heart attack o...

Previous work in biomedical signal processing area, especially in the area of cardiology indicates that most of the disorders in heart can be completely captured in an Electrocardiogram (ECG) signal and then can be classified using a classifying tool. A pulse signal (Nadi, in Ayurvedic terms) can also extract similar disorders along with the arterial blockages in the body. Similar methodology, ...