Annu Int Conf IEEE Eng Med Biol Soc
July 2017
This work investigated the potential of Deep Neural Network in detection of cerebral embolic signal (ES) from transcranial Doppler ultrasound (TCD). The resulting system is aimed to couple with TCD devices in diagnosing a risk of stroke in real-time with high accuracy. The Adaptive Gain Control (AGC) approach developed in our previous study is employed to capture suspected ESs in real-time.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
August 2016
This work proposes an automated system for real-time high-accuracy detection of cerebral embolic signals (ES) to couple with transcranial Doppler ultrasound (TCD) devices in diagnosing a risk of stroke. The algorithm employs Adaptive Gain Control (AGC) approach to capture suspected ESs in real-time. Then, Adaptive Wavelet Packet Transform (AWPT) and Fast Fourier Transform (FFT) are used to extract from them features most efficiently representing ES, which determined by Sequential Feature Selection technique.
View Article and Find Full Text PDFUnlabelled: The anterolateral thigh (ALT) flap has been widely used for reconstructions. Nevertheless, the atherosclerotic risk factors that affect the lateral circumflex femoral artery (LCFA) are still inconclusive. The aim was to study the effect of atherosclerosis on the LCFA and descending branch (dLCFA) visualized by computer tomographic angiography (CTA) between nonatherosclerosis and atherosclerosis.
View Article and Find Full Text PDFBackground: Soft tissue defects of the lateral malleolus (LM) and Achilles tendon pose difficult reconstructive problems due to the bony prominence and limited local tissue available. The objectives were to study the anatomical landmarks of the lateral calcaneal artery (LCA) and patency of LCA in atherosclerotic patients.
Methods: Part I: Thirty-four cadaveric feet were dissected to identify the LCA.
Patients at risk for radiocontrast media-induced nephropathy (RCIN) with suspected peripheral vascular disease were evaluated with high-dose (0.4 mmol/kg) gadolinium-based (Gd) contrast angiography (AG). The patients who were considered susceptible to RCIN were defined by having one or more of the following: (1) pre-existing serum creatinine (SCr) >124 micromol/l, (2) diabetes mellitus and (3) age >60 years.
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