Publications by authors named "R Augustine"
Microwave Vertebrae Strength Probe Development: Robust and Fast Phase Unwrapping Technique.
IEEE J Electromagn RF Microw Med Biol
March 2024
Article Synopsis
- - We created a new type of coaxial probe to evaluate the strength of vertebrae during spinal fusion surgery, utilizing the linear relationship of signal phase to distance.
- - The method improves upon traditional strategies by needing only three measurements in a prime frequency range, reducing interference from unwanted signals and minimizing computational demands.
- - This approach is crucial for developing a commercial device, allowing for efficient data acquisition with low power signals, which is essential for effective clinical use.
Efficient extraction and analysis of histopathological images are crucial for accurate medical diagnoses, particularly for prostate cancer. This research enhances histopathological image reclamation by integrating Visual-Based Image Reclamation (VBIR) techniques with contrast-limited adaptive Histogram Equalization (CLAHE) and the Gray-Level Co-occurrence Matrix (GLCM) algorithm. The proposed method leverages CLAHE to improve image contrast and visibility, crucial for regions with varying illumination, and employs a non-linear Support Vector Machine (SVM) to incorporate GLCM features.
View Article and Find Full Text PDFThis article introduces an innovative approach for creating a circular polarization (CP) antenna-based rotation-insensitive implantable wireless power transfer (WPT) system for medical devices. The system is constructed to work in the industrial, scientific, and medical (ISM) frequency band of 902-928 MHz. Initially, a flexible, wide-band, and bio-compatible open-ended CP slot antenna is designed within a single-layer human skin tissue model to serve as the receiving (Rx) element.
View Article and Find Full Text PDFImitating the respiratory activity of the brain stem by using artificial neural networks: exploratory study on an animal model of lactic acidosis and proof of concept.
J Clin Monit Comput
December 2024
Article Synopsis
- Artificial neural networks (ANNs) can learn and are evaluated in this study for their ability to calculate minute volume changes during spontaneous breathing, specifically in an animal model of metabolic acidosis.
- The study involved ten anesthetized pigs that were subjected to varying pH levels, with data collected on several physiological parameters to train the ANN.
- The trained ANN showed high accuracy in estimating minute volume changes, suggesting they could play a significant role in enhancing closed-loop artificial ventilator systems in the future.