Spatially Coherent Activation Maps for Electrocardiographic Imaging
ECGi is an emerging non-invasive technique that computes unipolar electrograms (EGMs) at the epicardial surface from ECG recordings and torso anatomy. We propose a new method that uses estimates of delays between neighboring points on top of local estimates. It improves the activation maps, yielding a 19% reduction in relative error compared to our reference clinical data.
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal
Our work emphasizes the understanding of clinical considerations and proper translation of these clinical considerations into data-analytic modeling assumptions. Several design choices during preprocessing and postprocessing are investigated for their effect on seizure prediction accuracy.
Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy
This paper describes the design, development and validation of a transrectal prostate biopsy guidance system for targeting MRI-visible tumours that supports an integrated 3/4D ultrasound transducer for rapid volume acquisition.
A High-Performance Neural Prosthesis Incorporating Discrete State Selection with Hidden Markov Models
Communication neural prostheses aim to restore the ability to efficient communication to people with paralysis and ALS. These systems record neural signals from the brain and translate them, through a decoder algorithm, into control signals for moving an end effector. In our study, monkeys controlled computer cursors to acquire targets on a keyboard-like grid.
High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed
Clinical tools to diagnose gastrointestinal (GI) disease are invasive or require radiation. Moreover, there is no widely established clinical technology analogous to the ECG for the “Functional” GI disorders are poorly understood, highly prevalent and have significant individual, health care, and socioeconomic consequences. The methodology we developed and described in this manuscript has the potential to change the diagnosis of GI disorders as well as inspire new therapies.
Characterization of a Honeycomb-like Scaffold with Dielectrophoresis-based Patterning for Tissue Engineering
We designed a scaffold with honeycomb-like pores to mimic the geometry of native bone tissues, and used Dielectrophoresis (DEP) technology to promote cell seeding during the reconstruction of an artificial bone tissue. The combined honeycomb-like scaffold and the dielectrophoresis-based patterning technology was verified to be a promising tool to enhance seeding and patterning of a wide range of cells for the development of high-quality artificial tissues.