A Portable Electroencephalogram Recording System for Rats

2014 ◽  
Vol 577 ◽  
pp. 1236-1240
Author(s):  
Dian Zhang ◽  
Bo Wang ◽  
Qing Liang Qin
Keyword(s):  
Recording System ◽  
Band Pass Filter ◽  
Test Results ◽  
Electronic Components ◽  
Eeg Signals ◽  
Pass Filter ◽  
Wireless Transmitter ◽  
Eeg Data ◽  
Band Pass ◽  
Electroencephalogram Eeg

A wireless portable electroencephalogram (EEG) recording system for animals was designed, manufactured and then tested in rats. The system basically consisted of four modules: 1) EEG collecting module with the wireless transmitter and receiver (designed by NRF24LE1), 2) filter bank consisting of pre-amplifier, band pass filter and 50Hz trapper, 3) power management module and 4) display interface for showing EEG signals. The EEG data were modulated firstly and emitted by the wireless transmitter after being amplified and filtered. The receiver demodulated and displayed the signals in voltage through serial port. The system was designed as surface mount devices (SMD) with small size (20mm×25mm×3mm) and light weight (4g), and was fabricated of electronic components that were commercially available. The test results indicated that in given environment the system could stably record more than 8 hours and transmit EEG signals over a distance of 20m. Our system showed the features of small size, low power consumption and high accuracy which were suitable for EEG telemetry in rats.

An Efficient Deep Learning Paradigm for Deceit Identification Test on EEG Signals

2021 ◽  
Vol 12 (3) ◽  
pp. 1-20
Author(s):  
Damodar Reddy Edla ◽  
Shubham Dodia ◽  
Annushree Bablani ◽  
Venkatanareshbabu Kuppili
Keyword(s):  
Brain Computer Interface ◽  
Wavelet Packet ◽  
Stimulus Onset ◽  
Computer Interface ◽  
Band Pass Filter ◽  
Eeg Signals ◽  
Pass Filter ◽  
Eeg Data ◽  
Identification Test ◽  
Band Pass

Brain-Computer Interface is the collaboration of the human brain and a device that controls the actions of a human using brain signals. Applications of brain-computer interface vary from the field of entertainment to medical. In this article, a novel Deceit Identification Test is proposed based on the Electroencephalogram signals to identify and analyze the human behavior. Deceit identification test is based on P300 signals, which have a positive peak from 300 ms to 1,000 ms of the stimulus onset. The aim of the experiment is to identify and classify P300 signals with good classification accuracy. For preprocessing, a band-pass filter is used to eliminate the artifacts. The feature extraction is carried out using “symlet” Wavelet Packet Transform (WPT). Deep Neural Network (DNN) with two autoencoders having 10 hidden layers each is applied as the classifier. A novel experiment is conducted for the collection of EEG data from the subjects. EEG signals of 30 subjects (15 guilty and 15 innocent) are recorded and analyzed during the experiment. BrainVision recorder and analyzer are used for recording and analyzing EEG signals. The model is trained for 90% of the dataset and tested for 10% of the dataset and accuracy of 95% is obtained.

Tunable Band-Pass Filters Employing Stretchable Electronic Components

2012 ◽  
Author(s):  
Geoffrey A. Slipher ◽  
Randy A. Mrozek ◽  
Justin L. Shumaker
Keyword(s):  
Center Frequency ◽  
Band Pass Filter ◽  
Electronic Components ◽  
Circuit Element ◽  
Pass Filter ◽  
Dependent Behavior ◽  
Band Pass ◽  
Spatio Temporal ◽  
Adaptive Circuit ◽  
Circuit Networks

This paper describes some of the recent results of an ongoing U.S. Army research program examining the electronic behavior of hyperelastic stretchable capacitor, resistor, and inductor networks for which the conductor material employed is stretchable. As with traditional rigid analog components, stretchable electronic components exhibit frequency-dependant behavior. Unlike their rigid counterparts, stretchable electronic components may also exhibit dramatic strain-dependent behavior. In this way stretchable circuit networks may be viewed as controllable spatio-temporal filters. Resistance, capacitance, and inductance all change to varying degrees depending on the specific set of spatio-temporal inputs. These variations may be harnessed to create an adaptive circuit element that is controllable. This paper describes the results of integrating stretchable components into a tunable band-pass filter. Center frequency, bandwidth, and gain can be varied in a controllable way by varying the capacitance or resistance of specific circuit elements by stretching them. Biaxially stretchable components are described that are subjected to equibiaxial strain-states as high as 100% area strain. We examine the influence that the type of compliant conductor has on tunable circuit properties and on control authority.

scholarly journals Control of electric wheelchair by eye activities using eeg technique

2013 ◽  
Vol 16 (4) ◽  
pp. 18-28
Author(s):  
Hai Thanh Nguyen ◽  
Toi Van Vo ◽  
Trung Van Nguyen
Keyword(s):  
Original Data ◽  
Band Pass Filter ◽  
Threshold Method ◽  
Pass Filter ◽  
Delta Area ◽  
Electric Wheelchair ◽  
Eeg Data ◽  
Band Pass ◽  
Bci System ◽  
Threshold Approach

This paper presents a study control of an electric wheelchair based on ElectroEncephaloGraphy (EEG). The directions of wheelchair are controlled by eye activities. A mean threshold algorithm is proposed to detect eye activities using EEG technique. The activities of eyes such as blinking two eyes, glanced left and glanced right related to the delta area of human brain are investigated. Before analyzing the EEG data, original data are filtered to reduce noise or artifacts by a band-pass filter. The proposed threshold method is applied to distinguish the phenomenon of eye activities. This study is useful for creating a BCI system such as wheelchair control. Experimental results show that the proposed threshold approach is the effectiveness.

MTF Compensation Combining Reciprocal Cell with Shift Invariance Wavelet

2011 ◽  
Vol 48-49 ◽  
pp. 719-723
Author(s):  
Zhao Jun Liu ◽  
Zhi Zhang ◽  
De Shen Xia
Keyword(s):  
Cutoff Frequency ◽  
Band Pass Filter ◽  
Test Results ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Shift Invariance ◽  
Band Pass ◽  
Better Than

On remote sensing imaging platform, quality of image is normally degraded by aliasing. The low-pass filter is commonly used to dealiasing. However low-pass filter introduces error for frequencies above its cutoff frequency. And the removed aliasing is also valuable information. To retain the valuable information, we propose a restoration based on band-pass filter. Firstly, the image is transformed into frequency domain. A restoration of reciprocal cell is adopted. It is based on geometrical characteristics of sensors. As a result, the superposition parts are separated from spectrum inside the bandwidth. Then aliasing spectrum is put into right position. Inverse filter is used to deblurring and remove the color noise. Finally, the shift invariance wavelet is combined to reduce the white noise. The test results indicate that the proposed restoration is better than conventional restorations. Valuable information of the restored spectrum is more than degraded spectrum. So this proposed method will be beneficial in the field of practical projects.

OBSERVATION AND SIMULATION OF TSUNAMIS INDUCED BY THE 2003 TOKACHI-OKI EARTHQUAKE (M 8.0)

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Tatsuo Ohmachi ◽  
Shusaku Inoue ◽  
Tetsuji Imai
Keyword(s):  
Rayleigh Wave ◽  
Water Pressure ◽  
Near Field ◽  
Source Region ◽  
Tsunami Source ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Tsunami Simulation ◽  
Sea Bed ◽  
Band Pass

The 2003 Tokachi-oki earthquake (MJ 8.0) occurred off the southeastern coast of Tokachi, Japan, and generated a large tsunami which arrived at Tokachi Harbor at 04:56 with a wave height of 4.3 m. Japan Marine Science and Technology Center (JAMSTEC) recovered records of water pressure and sea-bed acceleration at the bottom of the tsunami source region. These records are first introduced with some findings from Fourier analysis and band-pass filter analysis. Water pressure disturbance lasted for over 30 minutes and the duration was longer than those of accelerations. Predominant periods of the pressure looked like those excited by Rayleigh waves. Next, numerical simulation was conducted using the dynamic tsunami simulation technique able to represent generation and propagation of Rayleigh wave and tsunami, with a satisfactory result showing validity and usefulness of this technique. Keywords: Earthquake, Rayleigh wave, tsunami, near-field

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