unknown noise and artifacts present in medical signals with  non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear  structure presented  for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...

Tuning acoustic signals to frequency of bubbles produces microstreams and oscillatory motion for potential use in medical microrobotics heat exchangers.

This paper presents The Electromagnetic Interference effect from power line noise in Multi Speciality Hospital to Bio-Medical signals. The study includes the design of Bio-Medical signal Generating circuits that is used to eliminate the power line noise from the signal. The Bio-Medical system basically is a combination of Instrumentation Amplifier, High pass filter, Low pass filter, and Notch f...

the aim of this study is to show that the measures derived from electrocardiogram (ecg) signals many a time perform better than the same measures obtained from heart rate (hr) signals. a comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ecg signals and hr signals, and thereby discriminate between normal and cong...

C broadband mobile electronics with ultralow-power consumption and miniaturization in implantable semiconductor radio transceiver chips and sensors, healthcare and wellness is rapidly changing across the world. Consequently, new services and applications are emerging that will enable real-time medical sensing and treatment from a distance. Thus, taking ubiquitous medical care to a new level. La...

A new approach has been proposed to design of an automatic infant cry recognition system based on the fuzzy transform (F-transform) that classifies two different kinds of cries, which come from physiological status and medical disease. Feature extraction and development of classification algorithms play an important role in the area of automatic analysis of infant cry signals. F-transform is th...

In this article we suggest a fast multi-scale edge-detection scheme for medical ultrasound signals. The edge-detector is based on well-known properties of the continuous wavelet transform. To achieve both good localization of edges and detect only significant edges, we study the maxima-lines of the wavelet transform. One can obtain the maxima-lines between two scales by computing the wavelet tr...

A new approach has been proposed to design of an automatic infant cry recognition system based on the fuzzy transform (F-transform) that classifies two different kinds of cries, which come from physiological status and medical disease. Feature extraction and development of classification algorithms play an important role in the area of automatic analysis of infant cry signals. F-transform is th...

The aim of this study is to show that the measures derived from Electrocardiogram (ECG) signals many a time perform better than the same measures obtained from heart rate (HR) signals. A comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ECG signals and HR signals, and thereby discriminate between normal and cong...