Is it possible to extract a fingerprint for early breast cancer via EEG analysis?

Poulos, Marios; Felekis, Theodoros; Evangelou, Angelos

doi:10.1016/j.mehy.2012.02.016

Cited by 14 publications

(7 citation statements)

References 67 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

445

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

445

247

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“…Additionally, as a cost-effective substitute for expensive diagnostic tools such as MRI and CT-SCAN, the BCI system can use EEG to detect tumors caused by uncontrolled cell growth [6]. [7] [8] focuses on EEG-based brain tumour detection systems, whereas in [9] the authors have worked on EEG-based breast cancer identification. Sharanreddy and Kulkarni proposed a method for identifying EEG irregularities associated with tumours and seizures in [10].…”

Section: Bci Applicationsmentioning

confidence: 99%

Intelligent BCI Headphone for a Healthier and a Deeper Immersive Gameplay

Shazhaev¹,

Mikhaylov²,

Shafeeg³

2023

IJIS

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The developments in the area of brain research by analysing brain activity of individuals have given rise to many useful applications, such as diagnosing mental disorders more efficiently, treatment of cognitive disorders, and developing of brain-computer interfaces for treatment, communication and entertainment purposes. However, the development of such applications is hindered by a shortage of easy-to-use and comfortable sensors, as well as a lack of high-quality brain activity data. In the first part of this paper, a review of the status of BCI applications is presented followed by a proposal of a framework for developing an intelligent BCI headphone that takes leverages of the huge amount of data coming from playing video games to let the players experience a full immersive gaming experience.

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“…Another research [22] looked into using BCI to capture EEG characteristics as a tool for diagnosing schizophrenia. There are also various diagnostic methods such as the detection of brain tumors [23], the identification of breast cancer [24], parkinson's disease [25] etc. Diagnoses of several diseases in children including epilepsy, neurodegenerative disorders, motor disabilities, inattentiveness, or different types of ADHD [26] are possible.…”

Section: Assessment and Diagnosismentioning

confidence: 99%

“…Motor imagery is the process of converting a participant's motor intentions into control signals employing motor imagery conditions [64]. The left-hand motion, in an instance, may result in EEG signals in the and rhythms and a decrease in certain motor cortex areas (8-12 Hz) and (18)(19)(20)(21)(22)(23)(24)(25)(26). Depending on the motor imagery rhythms, various applications can be used such as controlling a mouse or playing a game.…”

Section: Motor and Sensorimotor Rhythmsmentioning

confidence: 99%

Brain-Computer Interface: Advancement and Challenges

Mridha

Das

Kabir

et al. 2021

Sensors

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Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that covers the BCI domain completely has been conducted yet. Hence, a comprehensive overview of the BCI domain is presented in this study. This study covers several applications of BCI and upholds the significance of this domain. Then, each element of BCI systems, including techniques, datasets, feature extraction methods, evaluation measurement matrices, existing BCI algorithms, and classifiers, are explained concisely. In addition, a brief overview of the technologies or hardware, mostly sensors used in BCI, is appended. Finally, the paper investigates several unsolved challenges of the BCI and explains them with possible solutions.

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Is it possible to extract a fingerprint for early breast cancer via EEG analysis?

Cited by 14 publications

References 67 publications

Brain computer interfacing: Applications and challenges

Brain computer interfacing: Applications and challenges

Intelligent BCI Headphone for a Healthier and a Deeper Immersive Gameplay

Brain-Computer Interface: Advancement and Challenges

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