Bin Zheng - IEEE Xplore Author Profile

Showing 1-8 of 8 results

Filter Results

Show

Results

Bimanual tasks, where the brain must simultaneously control and plan the movements of both hands, such as needle passing and tissue cutting, commonly exist in surgeries, e.g., robot-assisted minimally invasive surgery. In this study, we present a novel approach for quantifying the quality of hands coordination and correspondence in bimanual tasks by utilizing information theory concepts to build a...Show More
The initial treatment of patients with hepatocellular carcinoma (HCC) is highly correlated with their survival time. This study aimed to examine the pattern of clinical decisions of advanced physicians using data-based models to help inexperienced physicians select proper treatment. Data from 3348 patients with HCC collected from 16 top-level hospitals in China were used. Each patient report had 3...Show More
Deep learning has been applied in healthcare, where features of patients are read by the computer to assist with diagnosis and treatment. In sports medicine, kinematic characteristics of injuries need to be defined. Patients' data are then acquired amplified to training deep learning models. In this study, we tracked motions of lower extremities in patients with lateral collateral ligament injurie...Show More
The objective of this paper was to examine the changes in applied force and rate of chest compression (CC) during 5 min of CC with a target CC rate of 90/min (CC90) or 120/min (CC120) with and without metronome guidance during simulated neonatal cardiopulmonary resuscitation (CPR). We performed a randomized controlled manikin trial. Fourteen neonatal resuscitation program providers performed CC90 ...Show More
Observing surgical videos has been integrated intensively into surgical education. We test whether video watching can elicit the same eye motion pattern of an observer as the operator in performing the surgical procedure. While observing the task performed using tools, subjects started to move their eyes off the previous target 0.7 s after the tool but reached the next target 1.5 s before the tool...Show More
Laparoscopic Surgery (LS) is a modern surgical technique whereby the surgery is performed through an incision with tools and camera as opposed to conventional open surgery. This promises minimal recovery times and less hemorrhaging. Multi view LS is the latest development in the field, where the system uses multiple cameras to give the surgeon more information about the surgical site, potentially ...Show More
In this work, we propose a method that detects and tracks the tip of tools used in microsurgical training. This method can be used to provide valuable metrics regarding the surgeon's hand movement. It can benefit the training of surgeons, given the steep learning curve in microsurgery. Unlike past research, our tool tracking algorithm does not rely on color based measurements. Thus, it can be used...Show More
Team cognition is an important factor in evaluating and determining team performance. Forming a team with good shared cognition is even more crucial for laparoscopic surgery applications. In this study, we analyzed the eye tracking data of two surgeons during a laparoscopic simulation operation, then performed Cross Recurrence Analysis (CRA) on the recorded data to study the delay behaviour for go...Show More