Radiofrequency ablation

Laparoscopic Renal Denervation System for Treating Resistant Hypertension: Overcoming Limitations of Catheter-based Approaches

Author(s): Jinhwan Baik, Won Hoon Song, Donghyun Yim, Sangyong Lee, Sunchoel Yang, Hae-Yong Lee, Eue-Keun Choi, Chang Wook Jeong, Sung-Min Park
Laparoscopic Renal Denervation System for Treating Resistant Hypertension: Overcoming Limitations of Catheter-based Approaches 170 177 IEEE Transactions on Biomedical Engineering (TBME)
The radical sympathectomy and percutaneous catheter-based renal denervation (RDN) are two techniques proposed to treat life-threatening resistant hypertension. However, sympathectomy has been abandoned due to the procedure being too invasive, and RDN resulted in variation in blood pressure reduction between patients due to suboptimal denervation. Thus, a method to effectively ablate renal nerves while not being very invasive is needed to treat the resistant hypertension patients. Here we propose a minimally invasive Laparoscopic Denervation System (LDS) to serve this unmet clinical need. The LDS employs a direct renal nerve ablation technique while not imparting thermal arterial damage. read more

Real-time Radiofrequency Ablation Lesion Depth Estimation Using Multi-Frequency Impedance with a Deep Neural Network and Tree-based Ensemble

Author(s): Emre Besler, Y. Curtis Wang, Alan V. Sahakian
Real-time Radiofrequency Ablation Lesion Depth Estimation Using Multi-Frequency Impedance with a Deep Neural Network and Tree-based Ensemble 170 177 IEEE Transactions on Biomedical Engineering (TBME)
A combination of different machine learning algorithms and a hardware setup that consists of an embedded system and a 3D-printed electrode device is used to monitor the progress of radiofrequency ablation depth on a perfused breast tissue model. The device at the center of the tissue model both applied the alternating current and collected the tissue impedance data at multiple frequencies, which is fed into tree-based ensemble (TE) models and a deep neural network (DNN). Their predictions showed a mean difference against physical measurements of 0.5 mm for the DNN and 0.7 mm for the TEs. read more

A New RF Heating Strategy for Thermal Treatment of Atherosclerosis

Author(s): Shiqing Zhao, Jincheng Zou, Aili Zhang, Lisa X. Xu
A New RF Heating Strategy for Thermal Treatment of Atherosclerosis 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Atherosclerosis contributes to major mortality and modality of cardiovascular diseases around the world. Angioplasty and stenting are the common treatments for blocked arteries induced by atherosclerosis in clinic. In the…

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