Real-Time Monitoring of Epileptic Seizures through Recurrence Time Analysis of EEGs

2008 ◽  
Author(s):  
Jianbo Gao ◽  
Jing Hu ◽  
Xingsong Wang ◽  
Wen-wen Tung ◽  
J. C. Principe ◽  
...  
Keyword(s):  
Real Time ◽  
Epileptic Seizures ◽  
Recurrence Time ◽  
Real Time Monitoring ◽  
Time Analysis

Portable device for real time monitoring and warning of epileptic seizures

2013 ◽  
Vol 28 (2) ◽  
pp. 332
Author(s):  
M. Popescu ◽  
A. Supeanu ◽  
V. Grigorean ◽  
V. Strambu ◽  
G. Popescu ◽  
...  
Keyword(s):  
Real Time ◽  
Epileptic Seizures ◽  
Portable Device ◽  
Real Time Monitoring

Real-Time Monitoring of Solar Modules Manufacturing

2020 ◽  
Vol 51 ◽  
pp. 9-13
Author(s):  
Pavel Tšukrejev ◽  
Kaarel Kruuser ◽  
Georgy Gorbachev ◽  
Kristo Karjust ◽  
Jüri Majak
Keyword(s):  
Real Time ◽  
Vinyl Acetate ◽  
Ethylene Vinyl Acetate ◽  
Cross Linking ◽  
Real Time Monitoring ◽  
Time Analysis ◽  
Real Time Analysis

One of the most important steps during manufacturing of solar modules is lamination. This paper focuses on monitoring of behavior of used encapsulant Ethylene/Vinyl-Acetate (EVA) and impact on overall quality of module during lamination. Monitoring is performed by employing external thermocouple sensor inside the lamination chamber as well as by. Real-time analysis of the results helps to predict the quality of final product in terms of ensuring lamination quality in real time and provides possibility to tune the process during manufacturing cycle to achieve the best result of encapsulant cross-linking.

Fast Monitoring of Epileptic Seizures Based on Recurrence Time Analysis of EEGs

2011 ◽  
Author(s):  
Jianbo Gao ◽  
Jing Hu
Keyword(s):  
Visual Inspection ◽  
Epileptic Seizures ◽  
Sampling Frequency ◽  
Recurrence Time ◽  
Time Analysis ◽  
Nonlinear Methods ◽  
Cpu Time ◽  
Eeg Data ◽  
Excellent Candidate ◽  
The Brain

Epilepsy is one of the most common disorders of the brain. Currently, studies of epileptic seizures often involve tedious and time-consuming visual inspection of multi-channel long EEG data by medical experts. To better monitor seizures and make medications more effective, we propose a recurrence time based approach to characterize brain electrical activity. Unlike many other nonlinear methods, the proposed approach does not require that the EEG data be chaotic and/or stationary. It only contains a few parameters that are largely signal-independent, and hence, is very easy to use. The method detects epileptic seizures with accuracy close to 100% (when subclinical seizures are not counted) and false alarm rate per hour close to 0. Most critically, the method is very fast: with an ordinary PC (CPU speed less than 2 GHz), computation of the recurrence time from one channel EEG data of duration one hour with sampling frequency of 200 Hz takes about 1 minute CPU time. Therefore, with an ordinary PC, the method is able to process all 28 channels of 1-hour EEG data in about half an hour, and thus faster than the data being continuously collected. The method can also effectively monitor propagation of seizures in the brain. Therefore, it has the potential to be an excellent candidate for real-time monitoring of epileptic seizures in a clinical setting.

scholarly journals A Real-Time Monitoring System for the Facial Nerve

Neurosurgery ◽  
2010 ◽  
Vol 66 (6) ◽  
pp. 1064-1073 ◽  
Author(s):  
Julian Prell ◽  
Jens Rachinger ◽  
Christian Scheller ◽  
Alex Alfieri ◽  
Christian Strauss ◽  
...  
Keyword(s):  
Facial Nerve ◽  
Functional Outcome ◽  
Real Time ◽  
Operative Procedure ◽  
Real Time Monitoring ◽  
Time Analysis ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Real Time Analysis

Abstract OBJECTIVE Damage to the facial nerve during surgery in the cerebellopontine angle is indicated by A-trains, a specific electromyogram pattern. These A-trains can be quantified by the parameter “traintime,” which is reliably correlated with postoperative functional outcome. The system presented was designed to monitor traintime in real-time. METHODS A dedicated hardware and software platform for automated continuous analysis of the intraoperative facial nerve electromyogram was specifically designed. The automatic detection of A-trains is performed by a software algorithm for real-time analysis of nonstationary biosignals. The system was evaluated in a series of 30 patients operated on for vestibular schwannoma. RESULTS A-trains can be detected and measured automatically by the described method for real-time analysis. Traintime is monitored continuously via a graphic display and is shown as an absolute numeric value during the operation. It is an expression of overall, cumulated length of A-trains in a given channel; a high correlation between traintime as measured by real-time analysis and functional outcome immediately after the operation (Spearman correlation coefficient [ρ] = 0.664, P < .001) and in long-term outcome (ρ = 0.631, P < .001) was observed. CONCLUSION Automated real-time analysis of the intraoperative facial nerve electromyogram is the first technique capable of reliable continuous real-time monitoring. It can critically contribute to the estimation of functional outcome during the course of the operative procedure.

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

1618: Real-Time Monitoring of Nitric Oxide and Blood Flow During Ischemia-Reperfusion in the Rat Testis

2006 ◽  
Vol 175 (4S) ◽  
pp. 521-521
Author(s):  
Motoaki Saito ◽  
Tomoharu Kono ◽  
Yukako Kinoshita ◽  
Itaru Satoh ◽  
Keisuke Satoh
Keyword(s):  
Nitric Oxide ◽  
Blood Flow ◽  
Real Time ◽  
Ischemia Reperfusion ◽  
Real Time Monitoring ◽  
Rat Testis

GaN heteroepitaxy by remote plasma MOCVD : Real time monitoring by laser reflectance interferometry

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-1175-Pr3-1182 ◽  
Author(s):  
M. Losurdo ◽  
A. Grimaldi ◽  
M. Giangregorio ◽  
P. Capezzuto ◽  
G. Bruno
Keyword(s):  
Real Time ◽  
Real Time Monitoring ◽  
Remote Plasma ◽  
Laser Reflectance

INVESTIGATION OF HAND KINEMATICS TOWARDS FRONT CRAWL SWIMMING USING NON-INVASIVE REAL-TIME MONITORING SYSTEM

2014 ◽  
Author(s):  
Rozaimi Ghazali ◽  
◽  
Asiah Mohd Pilus ◽  
Wan Mohd Bukhari Wan Daud ◽  
Mohd Juzaila Abd Latif ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Real Time Monitoring ◽  
Front Crawl ◽  
Non Invasive ◽  
Hand Kinematics
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