Background: Trans-oesophageal echocardiography (TOE) has been widely utilized for cardiac disease diagnosis and interventional procedure guidance. However, the TOE operator is required to manually manipulate the probe, often for long periods of time and sometimes in an X-ray environment where there is exposure to ionizing radiation.
Methods: A novel robotic manipulation system for remote control of commercial TOE probes has been developed and tested. The system has four degrees of freedom (DOFs) and is characterized by a kinematic model. The accuracy of the model and the error propagation were analysed.
Results: The prototype system was shown to exhibit the required function in terms of the mechanical reliability and range of motion. The forward kinematic model can accurately predict the trajectory of the probe tip movement. The average point-to-point errors were 2.60 mm and 3.55°.
Conclusions: Robotic assistance provided by the proposed system may improve the TOE operating environment. The proposed forward kinematic model can be further employed for automatic control. Copyright © 2015 John Wiley & Sons, Ltd.
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http://dx.doi.org/10.1002/rcs.1691 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Advanced Medical Devices Laboratory, Kyushu University, Nishi-ku, Fukuoka, 819-0382, Japan.
Purpose: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk monitoring system within the realm of RAMIS.
Methods: We propose a modified Transformer model with the architecture comprising no positional encoding, 5 fully connected layers, 1 encoder, and 3 decoders.
Gait Posture
January 2025
Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan Tung Road, Chungli District, Taoyuan, Taiwan. Electronic address:
Background: The use of inertial measurement units (IMUs) in assessing fall risk is often limited by subject discomfort and challenges in data interpretation. Additionally, there is a scarcity of research on attitude estimation features. To address these issues, we explored novel features and representation methods in the context of sit-to-stand transitions.
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January 2025
Department of Geosciences, Atmospheric Science Division, Texas Tech University, Lubbock, TX, USA; National Wind Institute, Texas Tech University, Lubbock, TX, USA. Electronic address:
Understanding the kinematics of aerosol horizontal transport and vertical mixing near the surface, within the atmospheric boundary layer (ABL), and in the overlying free troposphere (FT) is critical for various applications, including air quality and weather forecasting, aviation, road safety, and dispersion modeling. Empirical evidence of aerosol mixing processes within the ABL during synoptic-scale events over arid and semiarid regions (i.e.
View Article and Find Full Text PDFClin Biomech (Bristol)
January 2025
Ohio State University Wexner Medical Center, Department of Orthopaedics, Columbus, OH, USA. Electronic address:
Background: Low back pain affects over 80 % of adults, with sacroiliac joint dysfunction accounting for 15-30 % of these cases. Sacroiliac fusion is a surgical procedure for refractory joint pain. While the biomechanics of the joint and its fusion relative to the spinal column are well-known, the hip-spine relationship post-fusion remains unclear.
View Article and Find Full Text PDFSensors (Basel)
December 2024
College of Healthcare Sciences, Nova Southeastern University, Fort Lauderdale, FL 33328, USA.
The purpose was to create a systematic approach for analyzing data to improve predictive models for fatigue and neuromuscular performance in volleyball, with potential applications in other sports. The study aimed to assess whether average, peak, or peak-to-average ratios of countermovement jump (CMJ) force plate metrics exhibit stronger correlations and determine which metric most effectively predicts performance. Data were obtained from nine division I female volleyball athletes over a season, recording daily jump loads (total jumps, jump counts >38.
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