Brain tumor detection using scalp eeg with modified Wavelet-ICA and multi layer feed forward neural network

Selvam, V. Salai; Shenbagadevi, S.

doi:10.1109/iembs.2011.6091508

Cited by 25 publications

(11 citation statements)

References 24 publications

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“…Tumor, which is generated from uncontrolled self-dividing of cells, could be discovered using EEG as a cheap secondary alternative for MRI and CT-SCAN. EEG-based Brain tumors detection systems have been the main subject of the researches in [31,32], while [33] has been concerned with identifying breast cancer using EEG signals.…”

Section: Detection and Diagnosismentioning

confidence: 99%

Brain computer interfacing: Applications and challenges

Abdulkader

Atia

Mostafa

2015

Egyptian Informatics Journal

459

247

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Brain computer interface technology represents a highly growing field of research with application systems. Its contributions in medical fields range from prevention to neuronal rehabilitation for serious injuries. Mind reading and remote communication have their unique fingerprint in numerous fields such as educational, self-regulation, production, marketing, security as well as games and entertainment. It creates a mutual understanding between users and the surrounding systems. This paper shows the application areas that could benefit from brain waves in facilitating or achieving their goals. We also discuss major usability and technical challenges that face brain signals utilization in various components of BCI system. Different solutions that aim to limit and decrease their effects have also been reviewed.Ó 2015 Production and hosting by Elsevier B.V. on behalf

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Section: Detection and Diagnosismentioning

confidence: 99%

Brain computer interfacing: Applications and challenges

Abdulkader

Atia

Mostafa

2015

Egyptian Informatics Journal

459

247

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“…Moreover, EEG is also used as an initial diagnosis assessment tool alternative to MRI and CT-SCAN due to its costeffectiveness. Here, EEG systems have proven valuable in the diagnosis of disorders of consciousness (DOC) (Guger et al, 2018;Stefan et al, 2018) as well as in the detection of tumors and concussions (Selvam and Shenbagadevi, 2011;Sharanreddy and Kulkarni, 2013;Abdulkader et al, 2015). For DOC diagnosis purposes, the Austrian company Guger Technologies (g.tec) has developed the EEG-based system mindBEAGLE (Figure 4), which provides quick and easy assessments of DOC and basic communication with certain patients (Spataro et al, 2018).…”

Section: Prediction and Diagnosismentioning

confidence: 99%

Beyond Technologies of Electroencephalography-Based Brain-Computer Interfaces: A Systematic Review From Commercial and Ethical Aspects

Lopez

Zhang

2020

Front. Neurosci.

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The deployment of electroencephalographic techniques for commercial applications has undergone a rapid growth in recent decades. As they continue to expand in the consumer markets as suitable techniques for monitoring the brain activity, their transformative potential necessitates equally significant ethical inquiries. One of the main questions, which arises then when evaluating these kinds of applications, is whether they should be aligned or not with the main ethical concerns reported by scholars and experts. Thus, the present work attempts to unify these disciplines of knowledge by performing a comprehensive scan of the major electroencephalographic market applications as well as their most relevant ethical concerns arising from the existing literature. In this literature review, different databases were consulted, which presented conceptual and empirical discussions and findings about commercial and ethical aspects of electroencephalography. Subsequently, the content was extracted from the articles and the main conclusions were presented. Finally, an external assessment of the outcomes was conducted in consultation with an expert panel in some of the topic areas such as biomedical engineering, biomechatronics, and neuroscience. The ultimate purpose of this review is to provide a genuine insight into the cutting-edge practical attempts at electroencephalography. By the same token, it seeks to highlight the overlap between the market needs and the ethical standards that should govern the deployment of electroencephalographic consumer-grade solutions, providing a practical approach that overcomes the engineering myopia of certain ethical discussions.

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“…Tumor, generated from uncontrolled self-dividing of cells, could be recognized using EEG as an alternative for MRI and CT-SCAN. EEG-based Brain tumors detection systems have been an important subject of the researches 24,25 , in addition to identifying breast cancer using EEG signals 26 .…”

Section: Applications In Healthcare Fieldmentioning

confidence: 99%

Mind-Machine Interface: Its Implementation and Applications in Real Field

Sen¹,

Bhattacharya²

2019

Science and Culture

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Brain-computer interface is a communication system, independent on the brain's normal output pathways of peripheral nerves and muscles. Applications of BCI depend on its functionality by recording the brain waves and sending the same to the computer system for completing the intended task. BCI has now entered the world of healthy people for a physiological measuring tool which successfully retrieves and uses information about individual's emotional or cognitive state. In the present paper we have emphasized the application areas which are benefitted from brain waves including major usability and technical challenges. BCIs have, in recent years, contributed in a wide area of research and thus have emerged as a wide spectrum of applications in healthcare field taking advantage of brain signals in different phases like detection, diagnosis, prevention, rehabilitation and restoration.

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Brain tumor detection using scalp eeg with modified Wavelet-ICA and multi layer feed forward neural network

Cited by 25 publications

References 24 publications

Brain computer interfacing: Applications and challenges

Brain computer interfacing: Applications and challenges

Beyond Technologies of Electroencephalography-Based Brain-Computer Interfaces: A Systematic Review From Commercial and Ethical Aspects

Mind-Machine Interface: Its Implementation and Applications in Real Field

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