scholarly journals PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Forrest Sheng Bao ◽  
Xin Liu ◽  
Christina Zhang
Keyword(s):  
Feature Extraction ◽  
Open Source ◽  
Physiological Signals ◽  
Eeg Signals ◽  
Python Programming Language ◽  
Computer Aided ◽  
Python Programming ◽  
Neural Diseases ◽  
Aided Diagnosis ◽  
Eeg Features

Computer-aided diagnosis of neural diseases from EEG signals (or other physiological signals that can be treated as time series, e.g., MEG) is an emerging field that has gained much attention in past years. Extracting features is a key component in the analysis of EEG signals. In our previous works, we have implemented many EEG feature extraction functions in the Python programming language. As Python is gaining more ground in scientific computing, an open source Python module for extracting EEG features has the potential to save much time for computational neuroscientists. In this paper, we introduce PyEEG, an open source Python module for EEG feature extraction.

An Open Source Finance System for Stocks Backtesting Trade Strategies

2021 ◽  
Vol 12 (2) ◽  
pp. 52-65
Author(s):  
Eviatar Rosenberg ◽  
Dima Alberg
Keyword(s):  
User Interface ◽  
Open Source ◽  
Programming Language ◽  
Capital Market ◽  
Historical Data ◽  
Trading Strategies ◽  
Market Volatility ◽  
Finance System ◽  
Python Programming Language ◽  
Python Programming

A significant part of pension savings is in the capital market and exposed to market volatility. The COVID-19 pandemic crisis, like the previous crises, damaged the gains achieved in those funds. This paper presents a development of open-source finance system for stocks backtesting trade strategies. The development will be operated by the Python programming language and will implement application user interface. The system will import historical data of stocks from financial web and will produce charts for analysis of the trends in stocks price. Based on technical analysis, it will run trading strategies which will be defined by the user. The system will output the trade orders that should have been executed in retrospect and concluding charts to present the profit and loss that would occur to evaluate the performance of the strategy.

Computer-aided diagnosis of alcoholism-related EEG signals

2014 ◽  
Vol 41 ◽  
pp. 257-263 ◽  
Author(s):  
U. Rajendra Acharya ◽  
Vidya. S ◽  
Shreya Bhat ◽  
Hojjat Adeli ◽  
Amir Adeli
Keyword(s):  
Computer Aided Diagnosis ◽  
Eeg Signals ◽  
Computer Aided ◽  
Aided Diagnosis

scholarly journals scikit-image: Image processing in Python

2014 ◽  
Author(s):  
Stéfan van der Walt ◽  
Johannes L Schönberger ◽  
Juan Nunez-Iglesias ◽  
François Boulogne ◽  
Joshua D Warner ◽  
...  
Keyword(s):  
Image Processing ◽  
Open Source ◽  
Programming Language ◽  
Real World ◽  
Research Education ◽  
Python Programming Language ◽  
Image Library ◽  
Industry Applications ◽  
Python Programming ◽  
World Image

scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image.

scholarly journals Python-Microscope – a new open-source Python library for the control of microscopes

2021 ◽  
Vol 134 (19) ◽  
Author(s):  
David Miguel Susano Pinto ◽  
Mick A. Phillips ◽  
Nicholas Hall ◽  
Julio Mateos-Langerak ◽  
Danail Stoychev ◽  
...  
Keyword(s):  
Open Source ◽  
High Speed ◽  
High Performance ◽  
Simulation Tool ◽  
Project Control ◽  
Performance Control ◽  
Python Programming Language ◽  
Architectural Features ◽  
Design Integration ◽  
Python Programming

ABSTRACT Custom-built microscopes often require control of multiple hardware devices and precise hardware coordination. It is also desirable to have a solution that is scalable to complex systems and that is translatable between components from different manufacturers. Here we report Python-Microscope, a free and open-source Python library for high-performance control of arbitrarily complex and scalable custom microscope systems. Python-Microscope offers simple to use Python-based tools, abstracting differences between physical devices by providing a defined interface for different device types. Concrete implementations are provided for a range of specific hardware, and a framework exists for further expansion. Python-Microscope supports the distribution of devices over multiple computers while maintaining synchronisation via highly precise hardware triggers. We discuss the architectural features of Python-Microscope that overcome the performance problems often raised against Python and demonstrate the different use cases that drove its design: integration with user-facing projects, namely the Microscope-Cockpit project; control of complex microscopes at high speed while using the Python programming language; and use as a microscope simulation tool for software development.

A novel computer-aided diagnosis framework for EEG-based identification of neural diseases

2021 ◽  
Vol 138 ◽  
pp. 104922
Author(s):  
Muhammad Tariq Sadiq ◽  
Hesam Akbari ◽  
Siuly Siuly ◽  
Adnan Yousaf ◽  
Ateeq Ur Rehman
Keyword(s):  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Neural Diseases ◽  
Aided Diagnosis

scholarly journals Computer-aided diagnosis of rheumatoid arthritis with optical tomography, Part 1: feature extraction

2013 ◽  
Vol 18 (7) ◽  
pp. 076001 ◽  
Author(s):  
Ludguier D. Montejo ◽  
Jingfei Jia ◽  
Hyun K. Kim ◽  
Uwe J. Netz ◽  
Sabine Blaschke ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Feature Extraction ◽  
Optical Tomography ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Aided Diagnosis
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