A5102904385- Electrical and Bioimpedance Tomography
- Glaucoma and retinal disorders
- Speech and Audio Processing
- Non-Destructive Testing Techniques
- Blind Source Separation Techniques
- Advanced Adaptive Filtering Techniques
- Flow Measurement and Analysis
- Advanced Algorithms and Applications
- Advanced Computational Techniques and Applications
- Corneal surgery and disorders
- Ophthalmology and Eye Disorders
- Cardiac, Anesthesia and Surgical Outcomes
- Image Processing Techniques and Applications
- Structural Health Monitoring Techniques
- Cerebral Venous Sinus Thrombosis
- Corneal Surgery and Treatments
- Medical Imaging Techniques and Applications
- Retinal Diseases and Treatments
- Neurological Disease Mechanisms and Treatments
- Image and Video Stabilization
- Spinal Fractures and Fixation Techniques
- Hip and Femur Fractures
- Advanced Vision and Imaging
- Microwave Imaging and Scattering Analysis
- Pelvic and Acetabular Injuries
Hong Kong Baptist University
2023
Hohai University
2023
Center for Health, Exercise and Sport Sciences
2023
Mianyang Central Hospital
2017-2021
University of Electronic Science and Technology of China
2021
Stomatology Hospital
2020
Guizhou Provincial People's Hospital
2017-2019
Second Affiliated Hospital of Zhengzhou University
2016
Xian Yang Central Hospital
2012-2014
Zhengzhou People's Hospital
2012-2014
Electrical impedance tomography (EIT) calculates images of the body from measurements. While spatial resolution these is relatively low, temporal EIT data can be high. Most reconstruction algorithms solve each frame independently, although Kalman filter track image changes across frames. This paper proposes a new approach which directly accounts for correlations between in successive Image posed terms an augmented and measurement vector , concatenate values d previous future then based on...
Characterization of blood impedance properties is important to estimate clinical diagnostic indexes such as hematocrit, glucose level, and hydration. Current in vivo bioimpedance spectroscopy methods are performed on a body appendage thus represent combined measurement all tissues the field, rather than individually. This paper describes novel technique calculate bioelectrical while excluding disturbances from surrounding tissues, based analysis changes caused by accumulation. The forearm...
Electrical impedance tomography (EIT) reconstructs a conductivity change image within body from electrical measurements on the surface; while it has relatively low spatial resolution, high temporal resolution. One key difficulty with EIT is due to movement and position uncertainty of electrodes, especially breathing posture change. In this paper, we develop an approach reconstruct both electrode movements sequence measurements. Since are slow respect data frame rate, there significant...
Electrical Impedance Tomography (EIT) calculates the internal conductivity distribution within a body from current simulation and voltage measurements on surface. Two main technical difficulties of EIT are its low spatial resolution sensitivity to measurement errors. Image reconstruction using ℓ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> norms allows addressing both difficulties, in comparison traditional...
Magnetic induction tomography (MIT) is a new technique to image the electromagnetic properties of an object by mutual data pairs excitation and sensing coils. MIT has potential in visualisation metal flow for continuous casting, mainly because its deliver images with high temporal resolution. A dynamic magnetic imaging developed aid novel direct method. This paper proposes approach, which directly accounts correlations between successive frames. The forward problem general eddy current...
In this paper, we propose two new variable step-size normalized least mean square (NLMS) and affine projection algorithms (APA) with smoothing factor. Simulation results illustrate that the proposed have faster convergence rate lower misadjustment error than existing fixed
In this paper, we present a forgetting factor scheme for variable step-size affine projection algorithms (APA). The proposed uses processed input matrix as the of pseudo-inverse to estimate weight deviation. This method introduces time significances into matrix, whereupon evaluated error has been assigned some characteristics and accordingly, it is closer real error's behavior than that uniform significances. It shown algorithm superior in terms convergence misadjustment compared existing...
Quickly recognizing the real-time operating states will be helpful to identify instantaneous and permanent power loss of renewable energy station, so as realize continuous operation under influence disturbances caused by faults. This paper proposes a state recognition method for units based on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">sparse stacked auto-encoder</i> (SSAE) feature extraction improved...
In this paper, a laser scanning vision sensor based automatic focusing and positioning servo control mechanism is presented for 3-D singular points. The consists of two parts: position detecting tracking/focusing control. particular, difference-from-moving average (DMA) algorithm used to process the data from circular processed information then fed back motion actuating system accurate tracking result shows that achieves desired speed accuracy with experimental validation on platform.