Surgical drilling to place dental implants in the mandible and maxilla is associated high risk of iatrogenic injuries to inferior alveolar nerve and maxillary sinus. Real-time tissue margin sensing at the drill-tip using electrical impedance spectroscopy (EIS) could reduce this risk by providing feedback to surgeons. Studies with saline analogues, ex-vivo tissues, in-situ tissues and computer models have been previously conducted to evaluate these impedance sensors. Understanding in-vivo electrical properties of tissues in the mandible and maxilla is critical to further develop the sensor and tissue margin sensing algorithms. In this paper, we propose an in-vivo animal model using pigs and discuss methods to test the sensor. Intra-operative imaging and optical tracking systems to assist in surgical navigation are described. The process of registering imaging and tracking information to localize impedance measurement sites within the anatomy are detailed. Results from one in-vivo case of drilling through the mandible are presented and discussed. Clinical Relevance- This model is crucial for characterizing in-vivo electrical properties of mandibular and maxillary tissues encountered during dental implant surgical drilling and for translating bioimpedance sensing drill technology to clinical space.
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http://dx.doi.org/10.1109/EMBC48229.2022.9871554 | DOI Listing |
J Clin Monit Comput
December 2024
Mode Sensors AS, Trondheim, Norway.
Purpose: This study aimed to investigate the ability of a novel wearable bioimpedance sensor to monitor changes in fluid balance induced by furosemide. Because iso-osmotic fluid loss is expected to primarily comprise fluid from the extracellular compartment it was hypothesized that isotonic hypovolemia would increase the extracellular resistance (R).
Methods: 27 healthy adults (20 women, 7 men; 35 ± 10 year.
Colloids Surf B Biointerfaces
February 2025
Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Vidyanagar, Hubballi, Karnataka 580031, India. Electronic address:
With the rapid advancements in wearable sensor technology, healthcare is witnessing a transformative shift towards personalized and continuous monitoring. Wearable sensors designed for tracking human strain offer promising applications in rehabilitation, athletic performance, occupational health, and early disease detection. Recent advancements in the field have centered on the design optimization and miniaturization of wearable biosensors.
View Article and Find Full Text PDFPhysiol Meas
October 2024
ARTERYA, F-14200 Hérouville-Saint-Clair, France.
The radial artery, one of the terminal branches of the forearm, is utilized for vascular access and in various non-invasive measurement method, providing crucial medical insights. Various sensor technologies have been developed, each suited to specific characterization requirements. The work presented in this paper is based on a systematic literature review of the main publications relating to this topic.
View Article and Find Full Text PDFComput Biol Med
November 2024
Smart Wearable Research Group, Department of Engineering, Nottingham Trent University, Nottingham, UK; Medical Technologies Innovation Facility, Nottingham Trent University, Nottingham, UK.
Breast cancer remains a leading cause of cancer mortality worldwide, with early detection crucial for improving outcomes. This systematic review evaluates recent advances in portable non-invasive technologies for early breast cancer detection, assessing their methods, performance, and potential for clinical implementation. A comprehensive literature search was conducted across major databases for relevant studies published between 2015 and 2024.
View Article and Find Full Text PDFRev Cardiovasc Med
September 2024
Institute of Microelectronics of Seville - Spanish National Center of Microelectronics (IMSE-CNM) University of Seville, 41092 Seville, Spain.
Heart-failure (HF) is a severe medical condition. Physicians need new tools to monitor the health status of their HF patients outside the hospital or medical supervision areas, to better know the evolution of their patients' main biomarker values, necessary to evaluate their health status. Bioimpedance (BI) represents a good technology for sensing physiological variables and processes on the human body.
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