Biomedical signal databases generally are built for reference purposes. In order to make use of such reference databases, a physiological or medical question first has to be specified. Like in any medical study, hypotheses have to be formulated before setting up a biomedical signal database. The questions posed and the hypotheses formulated naturally lead to the design of a study protocol. The ...

Biomedical signals are observations of physiological activities of organisms, ranging from gene and protein sequences, to neural and cardiac rhythms, to tissue and organ images. Biomedical signal processing aims at extracting significant information from biomedical signals. With the aid of biomedical signal processing, biologists can discover new biology and physicians can monitor distinct illn...

Abstract: In this paper a novel Ensemble Empirical Mode decomposition (EEMD) and adaptive filtering is proposed to filter out Gaussian noise and contact noise contained in raw biomedical signals. Real Biomedical signals from the MIT-BIH database are used to validate the performance of the proposed method. It has been observed that original signals can be significantly enhanced by using the prop...

In this paper we are working on literature review of EEG Signals. In our paper synchronization analysis is also done on driven oscillators and it is used to know whether the oscillators are in Phase Synchronization (PS) or in non-Phase Synchronization (non-PS). The application of the PS is done on biomedical signals and how the biomedical signals can be distinguished based on PS is studied. Syn...

Biomedical signals carry valuable physiological information and many researchers have difficulty interpreting and analyzing long-term, one-dimensional, quasi-periodic biomedical signals. Traditionally, biomedical signals are analyzed and visualized using periodogram, spectrogram, and wavelet methods. However, these methods do not offer an informative visualization of main events within the proc...

Recently, there is an increasing interest in and research on human engineering and emotion engineering. As a basic research on biofeedback interface technology, the development of a system for processing and modeling complex biomedical signals is very important, and these technologies will eventually offer a pleasant life environment, so the human-centered system based on biomedical signal anal...

removal of artifacts from bio-signals is a necessary step before automatic processing and obtaining clinical information. recently, many applications of empirical mode decomposition (emd) on biomedical researches have been presented that artifact reduction from bio-signals is one of them. emd separates a time series into finite numbers of its individual oscillations, which are called intrinsic ...

With the growing costs of healthcare, the need for mobile health monitoring devices is critical. A wireless transceiver provides a cost effective way to transmit biomedical signals to the various personal electronic devices, such as computers, cellular devices, and other mobile devices. Different kinds of biomedical signals can be processed and transmitted by these devices, including electroenc...