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A System for Simple Real-Time Anastomotic Failure Detection and Wireless Blood Flow Monitoring in the Lower Limbs

Rothfuss, Michael A. and Franconi, Nicholas G. and Unadkat, Jignesh V. and Gimbel, Michael L. and STAR, Alexander and Mickle, Marlin H. and Sejdic, Ervin (2016) A System for Simple Real-Time Anastomotic Failure Detection and Wireless Blood Flow Monitoring in the Lower Limbs. IEEE Journal of Translational Engineering in Health and Medicine, 4. pp. 1-15. ISSN 2168-2372

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Current totally implantable wireless blood flow monitors are large and cannot operate alongside nearby monitors. To alleviate the problems with the current monitors, we developed a system to monitor blood flow wirelessly, with a simple and easily interpretable real-time output. To the best of our knowledge, the implanted electronics are the smallest in reported literature, which reduces bio-burden. Calibration was performed across realistic physiological flow ranges using a syringe pump. The device's sensors connected directly to the bilateral femoral veins of swine. For each 1 min, blood flow was monitored, then, an occlusion was introduced, and then, the occlusion was removed to resume flow. Each vein of four pigs was monitored four times, totaling 32 data collections. The implant measured 1.70 cm 3 without battery/encapsulation. Across its calibrated range, including equipment tolerances, the relative error is less than ±5% above 8 mL/min and between -0.8% and +1.2% at its largest calibrated flow rate, which to the best of our knowledge is the lowest reported in the literature across the measured calibration range. The average standard deviation of the flow waveform amplitude was three times greater than that of no-flow. Establishing the relative amplitude for the flow and no-flow waveforms was found necessary, particularly for noise modulated Doppler signals. Its size and accuracy, compared with other microcontroller-equipped totally implantable monitors, make it a good candidate for future tether-free free flap monitoring studies.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Rothfuss, Michael A.
Franconi, Nicholas
Unadkat, Jignesh
Gimbel, Michael
Mickle, Marlin H.
Date: 25 August 2016
Date Type: Publication
Journal or Publication Title: IEEE Journal of Translational Engineering in Health and Medicine
Volume: 4
Publisher: IEEE
Page Range: pp. 1-15
DOI or Unique Handle: 10.1109/jtehm.2016.2588504
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Refereed: No
ISSN: 2168-2372
Official URL:
Article Type: Research Article
Date Deposited: 13 May 2020 16:40
Last Modified: 13 May 2020 16:40


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