Radiation therapy is planned using CT and delivered using a linear accelerator with cone beam CT (CBCT) to guide patient setup. This is challenging for soft tissue due to low CBCT contrast. Thus, we introduce a cooperatively-controlled robot for ultrasound guidance.
M3BA modules enable acquisition of EEG, fNIRS, head movements and other electrical biosignals, while being highly precise, miniaturized, wireless, configurable and energy efficient. Performance characterization and in-vivo experiments confirmed functionality and quality of the designed architecture.
There is pressing clinical need to identify developing heart attack in patients as early as possible. State-of-the-art tools do not identify all patients with cardiac ischemia, worsening risk for adverse events and outcomes. We aimed to explore the portions of ECG cardiac repolarization that best captured electrophysiological changes associated with ischemia.
Accurate decomposition torque into its components has important clinical implications for the diagnosis, assessment, and monitoring of neuromuscular diseases that change the muscle tone, such as in spinal cord injury, cerebral palsy, multiple sclerosis, stroke and Parkinson’s disease. MATLAB code for the SDSS algorithm is available from our Github repository.
Ventricular tachycardia and ventricular fibrillation are the most common causes of sudden cardiac death in patients with chronic heart failure (CHF). We investigated the electrophysiologic consequences of ischemia in our in vivo rat model of chronic heart failure.
High density, multielectrode catheters are enabling new and more effective methods to map cardiac arrhythmias. We describe Omnipolar mapping Technology (OT) which relies on a traveling wave approximation to derive bipolar electrophysiologic signals along anatomic and physiologically meaningful directions.
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.
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.
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.
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.