Efficient balance technique for brain-computer interface applications based on I/Q down converter and time interleaved ADCs
نویسندگان
چکیده
منابع مشابه
Analysis and Experimentation of Soft Switched Interleaved Boost Converter for Photovoltaic Applications
Conventional energy sources are fast depleting due to poor conservation practises and excessive usage while the world’s energy demands are growing by minute. Additionally, the cost of producing conventional energy is rising also leading to an increase in harmful environmental pollution. Hence, there is a need to look at alternative energy sources such as sun, water and wind. Photovoltaic (PV) i...
متن کاملAn efficient P300-based brain-computer interface for disabled subjects.
A brain-computer interface (BCI) is a communication system that translates brain-activity into commands for a computer or other devices. In other words, a BCI allows users to act on their environment by using only brain-activity, without using peripheral nerves and muscles. In this paper, we present a BCI that achieves high classification accuracy and high bitrates for both disabled and able-bo...
متن کاملA Signal Processing View on Time-Interleaved ADCS
The idea of time-interleaved ADCs (TI-ADCs) is old, but it took more than 25 years until the requirements on converters and the possibility of advanced digital post correction made this architecture attractive. We investigate timeinterleaved ADCs with a focus on the involved signal processing. By establishing a discrete-time model of a TI-ADC, we explicitly show that a TI-ADC with mismatches is...
متن کاملDevelopment of a Brain Computer Interface (BCI) Speller System Based on SSVEP Signals
BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed.In addition, we suggested...
متن کاملA Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface System
Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Informatics in Medicine Unlocked
سال: 2020
ISSN: 2352-9148
DOI: 10.1016/j.imu.2019.100276