Improvement of classification accuracy in a phase-tagged steady-state visual evoked potential-based brain computer interface using multiclass support vector mac...
Background: Brain computer interface (BCI) is an emerging technology for paralyzed patients to communicate with external environments. Among current BCIs, the steady-state visual evoked potential (SSVEP)-based BCI has drawn great attention due to its characteristics of easy preparation, high informa...
Comparisons of maximum deformation and failure forces at the implant--abutment interface of titanium implants between titanium-alloy and zirconia abutments with...
Background: Zirconia materials are known for their optimal aesthetics, but they are brittle, and concerns remain about whether their mechanical properties are sufficient for withstanding the forces exerted in the oral cavity. Therefore, this study compared the maximum deformation and failure forces ...
Performance assessment in brain-computer interface-based augmentative and alternative communication
A large number of incommensurable metrics are currently used to report the performance of brain-computer interfaces (BCI) used for augmentative and alterative communication (AAC). The lack of standard metrics precludes the comparison of different BCI-based AAC systems, hindering rapid growth and dev...
Classification of emotional States from electrocardiogram signals: a non-linear approach based on hurst
Background: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) signals, being an activity of the autonomous nervous system (ANS), reflect the u...
A hybrid approach to the simultaneous eliminating of power-line interference and associated ringing artifacts in electrocardiograms
Background: The second-order, infinite impulse response notch filter is widely used to remove electrical power line noise in electrocardiograms (ECGs). However this filtering process often introduces spurious ringing artifacts in the vicinity of raw signal with sharp transitions. It is challenging t...
Detecting fixation on a target using time-frequency distributions of a retinal birefringence scanning signal
Background: The fovea, which is the most sensitive part of the retina, is known to have birefringent properties, i.e. it changes the polarization state of light upon reflection. Existing devices use this property to obtain information on the orientation of the fovea and the direction of gaze. Such d...
Methods of measuring the iridocorneal angle in tomographic images of the anterior segment of the eye
IntroductionThis paper presents the problem of automatic measurement of the iridocorneal angle in tomographic images of the anterior segment of the eye. It includes the results of the comparison of well-known methods for measuring the iridocorneal angle with new methods, proposed in this paper. All ...
Volumetric three-dimensional intravascular ultrasound visualization using shape-based nonlinear interpolation
Background: Intravascular ultrasound (IVUS) is a standard imaging modality for identification of plaque formation in the coronary and peripheral arteries. Volumetric three-dimensional (3D) IVUS visualization provides a powerful tool to overcome the limited comprehensive information of 2D IVUS in ter...
Detection of the valvular split within the second heart sound using the reassigned smoothed pseudo Wigner-Ville distribution
Background In this paper, we developed a novel algorithm to detect the valvular split between the aortic and pulmonary components in the second heart sound which is a valuable medical information.Methods The algorithm is based on the Reassigned smoothed pseudo Wigner--Ville distribution which is a m...
Neurovascular coupling: in vivo optical techniques for functional brain imaging
Optical imaging techniques reflect different biochemical processes in the brain, which is closely related with neural activity. Scientists and clinicians employ a variety of optical imaging technologies to visualize and study the relationship between neurons, glial cells and blood vessels. In this p...
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