This work presents the ongoing research in the field of integrated multidisciplinary research on wearable systems for healthcare monitoring and advanced aids for personal communication and home automation control based on BCI systems. Biomedical engineers and designers cooperated to overcome technological user acceptance which is one of the most challenging issue to the real usability of these ...

BACKGROUND There is a growing interest in the study of signal processing and machine learning methods, which may make the brain computer interface (BCI) a new communication channel. A variety of classification methods have been utilized to convert the brain information into control commands. However, most of the methods only produce uncalibrated values and uncertain results. METHODOLOGY/PRINC...

Abstract: We present the optimization of the manufacturing process of the 5nm bulk-FinFET technology by using the 3D process and device simulations. In this paper, bysimulating the manufacturing processes, we focus on optimizing the manufacturingprocess to improve the drive current of the 5nm FinFET. The improvement of drivecurrent is one of the most important issues in ...

A Brain-Computer Interface (BCI) is a communication system which enables its users to sendcommands to a computer by using brain activity only, this brain activity being measured, gen-erally by ElectroEncephaloGraphy (EEG), and processed by the system.In the first part of this thesis, dedicated to EEG signal processing and classification tech-niques, we aimed at designing interpr...

Brain-computer interfaces (BCI) come with a lot of issues, such as delays, bad recognition, long training times, and cumbersome hardware. Gamers are a large potential target group for this new interaction modality, but why would healthy subjects want to use it? BCI provides a combination of information and features that no other input modality can offer. Current research is mostly still focusin...

In most brain computer interface (BCI) systems, some target users have significant difficulty in using BCI systems. Such target users are called 'BCI-illiterate'. This phenomenon has been poorly investigated, and a clear understanding of the BCI-illiteracy mechanism or a solution to this problem has not been reported to date. In this study, we sought to demonstrate the neurophysiological differ...

Abstract Rehabilitation medicine has developed rapidly in recent years. Brain computer interface and functional electrical stimulation are very cutting-edge technologies this field. Because brain provides a real-time operation platform for patients to operate their limbs according intention stimulation, the research on BCI based FES gradually increased This paper discusses current development s...

BACKGROUND The aim of neoadjuvant chemotherapy is to increase the likelihood of successful breast conservation surgery (BCS). Accurate identification of BCS candidates is a diagnostic challenge. Breast Cancer Index (BCI) predicts recurrence risk in estrogen receptor+lymph node-breast cancer. Performance of BCI to predict chemosensitivity based on pathological complete response (pCR) and BCS was...

BACKGROUND Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has become one of the most promising modalities for a practical noninvasive BCI system. Owing to both the limitation of refresh rate of liquid crystal display (LCD) or cathode ray tube (CRT) monitor, and the specific physiological response property that only a very small number of stimuli at certain fre...