scholarly journals BioSig: The Free and Open Source Software Library for Biomedical Signal Processing

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Carmen Vidaurre ◽  
Tilmann H. Sander ◽  
Alois Schlögl
Keyword(s):  
Signal Processing ◽  
Open Source ◽  
Open Source Software ◽  
Biomedical Signal Processing ◽  
Software Library ◽  
Biomedical Signal ◽  
Computer Interfaces ◽  
Relevant Element ◽  
Electrocardiogram Ecg ◽  
Electroencephalogram Eeg

BioSig is an open source software library for biomedical signal processing. The aim of the BioSig project is to foster research in biomedical signal processing by providing free and open source software tools for many different application areas. Some of the areas where BioSig can be employed are neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems, and sleep research. Moreover, the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), or respiration signals is a very relevant element of the BioSig project. Specifically, BioSig provides solutions for data acquisition, artifact processing, quality control, feature extraction, classification, modeling, and data visualization, to name a few. In this paper, we highlight several methods to help students and researchers to work more efficiently with biomedical signals.

Biomedical Signal Processing using Matlab and Open Source R Software – A Comparative Study on Running Times

2021 ◽  
Author(s):  
M. Sundar Prakash Balaji ◽  
S. S. Sivaraju ◽  
K.R. Aravind Britto ◽  
Shaik Fairooz ◽  
M. Easwaran ◽  
...  
Keyword(s):  
Signal Processing ◽  
Comparative Study ◽  
Open Source ◽  
Biomedical Signal Processing ◽  
R Software ◽  
Biomedical Signal

Artifact Removal from ECG Signal Using Notch Filter for Developing Countries

2011 ◽  
Vol 403-408 ◽  
pp. 120-126
Author(s):  
Varun Gupta ◽  
Gavendra Singh ◽  
Rohit Sharma ◽  
Sharvan Kumar Pahuja
Keyword(s):  
Developing Countries ◽  
Signal Processing ◽  
Narrow Band ◽  
Notch Filter ◽  
Biomedical Signal Processing ◽  
Biomedical Signal ◽  
Broadband Signal ◽  
Power Line Interference ◽  
Communication Control ◽  
Electrocardiogram Ecg

In an increasingly noisy society, methods of reducing noise are becoming more important. Filtering has the great importance in the field of the biomedical signal processing. In many applications of signal processing it is desired to remove sinusoidal interferences while leaving the broadband signal unchanged. Examples are in the areas of communication, control, biomedical engineering and others. A typical one is to cancel 60 Hz power line interference in the recording of electrocardiogram (ECG). Usually this task can be achieved by the notch filters characterized by a unit gain at all frequencies except at the sinusoidal frequencies in which their gain is zero .To eliminate one narrow band of frequencies one uses a so-called "notch" filter (named for the fact that it makes a notch in the frequency spectrum).In this paper we have given a notch filter of cost Rs 200. (4 USD approx.) that’s why it will be very beneficial for developing countries.

scholarly journals SynBiopython: an open-source software library for Synthetic Biology

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jing Wui Yeoh ◽  
Neil Swainston ◽  
Peter Vegh ◽  
Valentin Zulkower ◽  
Pablo Carbonell ◽  
...  
Keyword(s):  
Synthetic Biology ◽  
Open Source ◽  
Open Source Software ◽  
Development Projects ◽  
Software Library ◽  
Current State ◽  
Starting Point ◽  
Common Problems ◽  
Data Tracking ◽  
Python Package

Abstract Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org.

scholarly journals Guest Editorial introduction to the special issue on Biomedical Signal Processing and Analysis selected papers from ITAB 2009

2011 ◽  
Vol 6 (3) ◽  
pp. 217-218
Author(s):  
Constantinos S. Pattichis ◽  
Panagiotis D. Bamidis ◽  
Christodoulos Christodoulou ◽  
Efthyvoulos Kyriakou ◽  
Georgios D. Mitsis ◽  
...  
Keyword(s):  
Signal Processing ◽  
Guest Editorial ◽  
Biomedical Signal Processing ◽  
Editorial Introduction ◽  
Special Issue ◽  
Biomedical Signal
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