In recent years, steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has received much attentions. However, most SSVEP BCI devices are not portable and have high price, which suitable to be used for clinical commercial purpose. Thanks the low cost Emotiv EPOC, it brings into daily life. this paper, through EPOC is implemented. 2000 employed connect Matlab implement online system. The experiments accuracy of 95.83±3.59 %, information transfer rate (ITR) with...

Healthcare electronics count on the effectiveness of on-patient signal preprocessing unit to moderate wireless data transfer for better power efficiency. In order reduce system in long-time ECG acquisition, this work describes an QRS detection processor arrhythmia monitoring. It extracts concerned part, i.e., RR-interval between complex evaluating heart rate variability. The is structured by a scale-3 quadratic spline wavelet transform followed maxima modulus recognition stage. former...

Latest target recognition methods that are equipped with learning from the subject's calibration data, represented by extended canonical correlation analysis (eCCA) and ensemble task-related component (eTRCA), can achieve extra high performance in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs), however their deteriorate drastically if trials insufficient. This paper develops a new scheme to learn limited data.A across multiple stimuli is proposed for...

In recent years, the increasing number of wearable devices on human has been witnessed as a trend. These can serve for many purposes: personal entertainment, communication, emergency mission, health care supervision, delivery, etc. Sharing information among scattered across body requires area network (BAN) and sensor (BSN). However, implementation BAN/BSN with conventional wireless technologies cannot give optimal result. It is mainly because high requirements light weight, miniature, energy...

Recently, electroencephalography (EEG) signals have shown great potential for emotion recognition. Nevertheless, multichannel EEG recordings lead to redundant data, computational burden, and hardware complexity. Hence, efficient channel selection, especially single-channel is vital. For this purpose, a technique termed brain rhythm sequencing (BRS) that interprets based on dominant having the maximum instantaneous power at each 0.2 s timestamp has been proposed. Then, dynamic time warping...

Most biopotential readout front-ends rely on the g m- C lowpass filter (LPF) for forefront signal conditioning. A small m realizes a large time constant ( τ = / m) suitable ultra-low-cutoff filtering, saving both power and area. Yet, noise linearity can be compromised, given that each cell involve one or several noisy nonlinear V- I conversions originated from active devices. This paper proposes subthreshold-source-follower (SSF) Biquad as prospective alternative. It features: 1) very number...

Minimum energy combination (MEC) and canonical correlation analysis (CCA) are widely used for steady-state visual evoked potential (SSVEP) based brain computer interface (BCI), since both approaches have satisfactory performance. The purpose of this paper is to provide a guideline on choice detection method, through comparison the performance two from simulation data real SSVEP data. experiment results show that CCA has lower deviation, higher accuracy signal noise ratio than MEC.

A critical problem in using steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) for clinical and commercial use is the fatigue user may suffer when staring at flashing stimuli. Aiming design of user-friendly BCIs with satisfactory performance, this work to preliminarily investigate how different colors influence SSVEP (i.e. frequency or phase) system performance. The results show that white stimuli can lead highest followed by gray, red, green blue

Objective: The ability to record and control action potential firing in neuronal circuits is critical understand how the brain functions. objective of this study develop a monolithic integrated circuit (IC) potentials simultaneously using optogenetics. Methods: A low-noise high input impedance (or low capacitance) neural recording amplifier combined with current laser/lightemitting diode (LED) driver single IC. Results: capacitance (9.7 pF) was achieved by adding dedicated unity gain stage...

An effective orthogonal signal generation method for heterodyne-detection-based phase-sensitive optical time-domain reflectometer systems is proposed to accelerate the phase demodulation process. The principle based on spatial shifting technique. By exploiting relative difference between adjacent sampling channels, easily obtained from basic algebra calculations. simulation and experimental results showed that achieved >100% computation speed improvement compared with conventional methods, a...

Background: Mental health issues are increasingly prominent worldwide, posing significant threats to patients and deeply affecting their families social relationships. Traditional diagnostic methods subjective delayed, indicating the need for an objective effective early diagnosis method. Methods: To this end, paper proposes a lightweight detection method multi-mental disorders with fewer data sources, aiming improve procedures enable patient detection. First, proposed takes...

During the past ten years electron cyclotron resonance (ECR) plasma-processing technology has matured into a diverse assortment of ECR plasma reactor and source design concepts been extensively applied to numerous low-pressure processing applications. This paper reviews substantial progress made in application recent years. Five representative reactor/source designs from large-area 450-cm/sup 2/ discharges compact sources inserted molecular-beam epitaxy (MBE) machines are described detail....

Intra-Body Communication (IBC), which modulates ionic currents over the human body as communication medium, offers a low power and reliable signal transmission method for information exchange across body. This paper first briefly reviews quasi-static electromagnetic (EM) field modeling galvanic-type IBC limb operating below 1 MHz obtains corresponding transfer function with correction factor using minimum mean square error (MMSE) technique. Then, channel characteristics are studied through...

Among the biomedical imaging modalities, photoacoustic computed tomography (PACT) was one of emerging hybrid techniques in recent years. In designing PACT system, a finite-bandwidth transducer is limited factors for overall performance. As target size inversely proportional to dominant frequency components generated (PA) signal, broad bandwidth desired different scales' imaging. this paper, monolithic multiband capacitive micromachined ultrasonic (CMUT) array designed and fabricated...

Fatigue is a major challenge when moving steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) from the laboratory into real-life applications, as it leads to user's discomfort and system performance degradation. To study eventually reduce fatigue, first step know fatigue level for which reliable objective method assessment would be very important helpful. This paper considers synchronization of brain activities at multiple time scales such measure....

The reduction of the muscle and electrode motion artifacts in ECG using adaptive Fourier decomposition (AFD) is investigated. This an extension our previous work, which AFD first proposed for denoising its effectiveness filtering out additive Gaussian white noise tested. paper studies AFD-based method two types due to movement contraction are common important practice. In addition, some rules on selection adjustment level proposed. tests MIT-BIH Arrhythmia Database indicate that this scheme...

Existing research on human channel modeling of galvanic coupling intra-body communication (IBC) is primarily focused the body itself. Although IBC less disturbed by external influences during signal transmission, there are inevitable factors in real measurement scenarios such as parasitic impedance electrodes, matching transceiver, etc. which might lead to deviations between model and vivo measurements. This paper proposes a field-circuit finite element method (FEM) environment estimate...

The performances of different off-line methods for two Electroencephalograph (EEG) signal classification tasks - motor imagery and finger movement, are investigated in this paper. classifiers based on linear discriminant analysis (LDA), quadratic (QDA), kernel fisher (KFD), support vector machine (SVM), multilayer perceptron (MLP), learning quantization (LVQ) neural network, k-nearest neighbor (k-NN), decision tree (DT), compared terms accuracy. main purpose paper is to provide a fair...

This paper describes a 90 nm CMOS low-noise low-power biopotential signal readout front-end (RFE). The front-stage instrumentation amplifier (IA) features chopper; an AC-coupler and novel chopper notch filter for minimizing the DC-offset; transistors' flicker noise 50 Hz powerline interference concurrently. A noise-aware transistor selection (thin- thick-oxide) in IA enables flexible tradeoff between input impedance performances. 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Hilbert Huang Transform (HHT) is an empirical time-frequency analysis method firstly proposed by N. E. in 1998. This suitable for nonlinear and non-stationary signal processing thus employed bioelectrical recent years. However, the large computation cost of HHT restricts its applications real-time processing. paper presents a hardware accelerated system based on Field Programmable Gate Array (FPGA), which employs software co-design techniques to effectively improve speed.