@article{RN101,
   author = {Campelo, S. N. and Jacobs, E. J. th and Aycock, K. N. and Davalos, R. V.},
   title = {Real-Time Temperature Rise Estimation during Irreversible Electroporation Treatment through State-Space Modeling},
   journal = {Bioengineering (Basel)},
   volume = {9},
   number = {10},
   note = {2306-5354
Campelo, Sabrina N
Orcid: 0000-0001-6570-7427
Jacobs, Edward J 4th
Aycock, Kenneth N
Orcid: 0000-0003-3885-6798
Davalos, Rafael V
Orcid: 0000-0003-1503-9509
R01 CA24047/NH/NIH HHS/United States
Journal Article
Switzerland
2022/10/28
Bioengineering (Basel). 2022 Sep 23;9(10):499. doi: 10.3390/bioengineering9100499.},
   abstract = {To evaluate the feasibility of real-time temperature monitoring during an electroporation-based therapy procedure, a data-driven state-space model was developed. Agar phantoms mimicking low conductivity (LC) and high conductivity (HC) tissues were tested under the influences of high (HV) and low (LV) applied voltages. Real-time changes in impedance, measured by Fourier Analysis SpecTroscopy (FAST) along with the known tissue conductivity and applied voltages, were used to train the model. A theoretical finite element model was used for external validation of the model, producing model fits of 95.8, 88.4, 90.7, and 93.7% at 4 mm and 93.2, 58.9, 90.0, and 90.1% at 10 mm for the HV-HC, LV-LC, HV-LC, and LV-HC groups, respectively. The proposed model suggests that real-time temperature monitoring may be achieved with good accuracy through the use of real-time impedance monitoring.},
   keywords = {H-fire
Pfa
agar phantom
black-box modeling
electroporation
pulsed field ablation
temperature prediction
thermal mitigation},
   ISSN = {2306-5354 (Print)
2306-5354},
   DOI = {10.3390/bioengineering9100499},
   year = {2022},
   type = {Journal Article}
}

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V."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Campelo"],"firstnames":["S.","N."],"suffixes":[]},{"propositions":[],"lastnames":["Jacobs"],"firstnames":["E.","J.","th"],"suffixes":[]},{"propositions":[],"lastnames":["Aycock"],"firstnames":["K.","N."],"suffixes":[]},{"propositions":[],"lastnames":["Davalos"],"firstnames":["R.","V."],"suffixes":[]}],"title":"Real-Time Temperature Rise Estimation during Irreversible Electroporation Treatment through State-Space Modeling","journal":"Bioengineering (Basel)","volume":"9","number":"10","note":"2306-5354 Campelo, Sabrina N Orcid: 0000-0001-6570-7427 Jacobs, Edward J 4th Aycock, Kenneth N Orcid: 0000-0003-3885-6798 Davalos, Rafael V Orcid: 0000-0003-1503-9509 R01 CA24047/NH/NIH HHS/United States Journal Article Switzerland 2022/10/28 Bioengineering (Basel). 2022 Sep 23;9(10):499. doi: 10.3390/bioengineering9100499.","abstract":"To evaluate the feasibility of real-time temperature monitoring during an electroporation-based therapy procedure, a data-driven state-space model was developed. Agar phantoms mimicking low conductivity (LC) and high conductivity (HC) tissues were tested under the influences of high (HV) and low (LV) applied voltages. Real-time changes in impedance, measured by Fourier Analysis SpecTroscopy (FAST) along with the known tissue conductivity and applied voltages, were used to train the model. A theoretical finite element model was used for external validation of the model, producing model fits of 95.8, 88.4, 90.7, and 93.7% at 4 mm and 93.2, 58.9, 90.0, and 90.1% at 10 mm for the HV-HC, LV-LC, HV-LC, and LV-HC groups, respectively. The proposed model suggests that real-time temperature monitoring may be achieved with good accuracy through the use of real-time impedance monitoring.","keywords":"H-fire Pfa agar phantom black-box modeling electroporation pulsed field ablation temperature prediction thermal mitigation","issn":"2306-5354 (Print) 2306-5354","doi":"10.3390/bioengineering9100499","year":"2022","bibtex":"@article{RN101,\n author = {Campelo, S. N. and Jacobs, E. J. th and Aycock, K. N. and Davalos, R. V.},\n title = {Real-Time Temperature Rise Estimation during Irreversible Electroporation Treatment through State-Space Modeling},\n journal = {Bioengineering (Basel)},\n volume = {9},\n number = {10},\n note = {2306-5354\nCampelo, Sabrina N\nOrcid: 0000-0001-6570-7427\nJacobs, Edward J 4th\nAycock, Kenneth N\nOrcid: 0000-0003-3885-6798\nDavalos, Rafael V\nOrcid: 0000-0003-1503-9509\nR01 CA24047/NH/NIH HHS/United States\nJournal Article\nSwitzerland\n2022/10/28\nBioengineering (Basel). 2022 Sep 23;9(10):499. doi: 10.3390/bioengineering9100499.},\n abstract = {To evaluate the feasibility of real-time temperature monitoring during an electroporation-based therapy procedure, a data-driven state-space model was developed. Agar phantoms mimicking low conductivity (LC) and high conductivity (HC) tissues were tested under the influences of high (HV) and low (LV) applied voltages. Real-time changes in impedance, measured by Fourier Analysis SpecTroscopy (FAST) along with the known tissue conductivity and applied voltages, were used to train the model. A theoretical finite element model was used for external validation of the model, producing model fits of 95.8, 88.4, 90.7, and 93.7% at 4 mm and 93.2, 58.9, 90.0, and 90.1% at 10 mm for the HV-HC, LV-LC, HV-LC, and LV-HC groups, respectively. The proposed model suggests that real-time temperature monitoring may be achieved with good accuracy through the use of real-time impedance monitoring.},\n keywords = {H-fire\nPfa\nagar phantom\nblack-box modeling\nelectroporation\npulsed field ablation\ntemperature prediction\nthermal mitigation},\n ISSN = {2306-5354 (Print)\n2306-5354},\n DOI = {10.3390/bioengineering9100499},\n year = {2022},\n type = {Journal Article}\n}\n\n","author_short":["Campelo, S. N.","Jacobs, E. J. t.","Aycock, K. N.","Davalos, R. 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