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arxiv: 2604.14494 · v1 · submitted 2026-04-16 · ⚛️ physics.med-ph

Recognition: unknown

A wearable electrical hemodynamic imaging ring

Gia-Bao Ha , Lucas Takanori Sanchez Shiromizu , Jaehyeon Song , Zhuyun Xie , Henry Crandall , Dinali Assylbek , Alexandra Boyadzhiev , Huanan Zhang
show 7 more authors
Fernando Guevara Vasquez Ramakrishna Mukkamala Michael Widlansky Shamim Nemati Jesse Capecelatro C. Alberto Figueroa Benjamin Sanchez
Authors on Pith no claims yet

Pith reviewed 2026-05-10 08:56 UTC · model grok-4.3

classification ⚛️ physics.med-ph
keywords imagingambulatorybioimpedancebloodhemodynamicringvascularwearable
0
0 comments X

The pith

A finger ring with multi-electrode bioimpedance sensing produces conductivity images of digital arteries and trains neural networks to estimate cuffless blood pressure waveforms.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Electrical bioimpedance sends small currents through the finger and measures how voltage changes across many electrode pairs. These measurements are turned into images of tissue conductivity that change with each heartbeat as blood volume shifts. The ring was tested on 96 volunteers during normal rest and during breathing or posture changes that affect blood flow. Neural networks were then trained on the bioimpedance signals to predict the shape of the blood pressure wave without needing an inflatable cuff.

Core claim

we resolve conductivity images in the digital arteries associated with pulsatile blood flow and train neural network models for continuous cuffless blood pressure waveform estimation. We demonstrate the feasibility of bioimpedance imaging in a ring form factor.

Load-bearing premise

That bioimpedance signals from the ring electrodes can be reliably inverted into conductivity images of blood flow and that these signals contain sufficient information to train neural networks that generalize to new users or clinical populations without major motion or contact artifacts.

read the original abstract

Continuous ambulatory monitoring of peripheral vascular perfusion could enable earlier detection of vascular dysfunction in individuals with diabetes mellitus and more timely management of cardiovascular disease. Clinical imaging modalities provide high-fidelity vascular information but are impractical for ambulatory use, whereas most wearable devices are limited to single-modality sensing and do not provide imaging. Electrical bioimpedance has the potential to bridge this gap by enabling rapid spatial and temporal imaging while remaining sensitive to hemodynamic changes. Here, we introduce a wearable ring with 8 electrodes and 32-channel bioimpedance sensing for finger blood flow imaging. In 96 healthy participants measured at rest and during autonomic maneuvers, we resolve conductivity images in the digital arteries associated with pulsatile blood flow and train neural network models for continuous cuffless blood pressure waveform estimation. We demonstrate the feasibility of bioimpedance imaging in a ring form factor, supporting its potential for ambulatory cuffless hemodynamic monitoring.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper describes the development of a wearable ring equipped with 8 electrodes for 32-channel bioimpedance measurements aimed at imaging blood flow in the finger's digital arteries. Through experiments with 96 healthy participants under rest and autonomic maneuvers, it claims to have resolved conductivity images associated with pulsatile blood flow and trained neural network models to estimate continuous cuffless blood pressure waveforms, thereby demonstrating the feasibility of bioimpedance imaging in a compact ring form factor for potential ambulatory hemodynamic monitoring.

Significance. Should the results be substantiated with quantitative validation, this work could represent a significant advance in wearable technology by combining electrical imaging with hemodynamic monitoring in a user-friendly ring device. It addresses the gap between high-fidelity clinical imaging and portable single-sensor wearables, with potential applications in early detection of vascular dysfunction in diabetes and cardiovascular disease. The multi-participant study and dual use for imaging and BP estimation add to its potential impact.

major comments (2)
  1. [Abstract] The abstract asserts that conductivity images in the digital arteries associated with pulsatile blood flow were resolved and neural networks trained for BP estimation, yet provides no quantitative metrics, error bars, validation details, or description of the inversion method. This omission makes it impossible to evaluate whether the data support the feasibility claim, which is central to the paper.
  2. [Methods and Results] With only 8 electrodes the EIT inverse problem is severely under-determined. The manuscript must detail (in the methods section) the regularization strategy, priors, or regularization parameters employed and demonstrate (in the results) via comparison to known anatomy or simultaneous reference measurements that the reconstructed images localize to arterial regions rather than reflecting smoothed bulk impedance, contact impedance, or motion artifacts.
minor comments (2)
  1. [Abstract] Clarify the specific autonomic maneuvers performed, participant demographics, and any inclusion/exclusion criteria for the 96 participants.
  2. [Figures] Any presented conductivity images should include scale bars, color maps with units, and explicit comparison to expected arterial locations.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We are grateful to the referee for the positive summary and the detailed comments, which help us improve the manuscript. Below we respond to each major comment.

read point-by-point responses

  1. Referee: [Abstract] The abstract asserts that conductivity images in the digital arteries associated with pulsatile blood flow were resolved and neural networks trained for BP estimation, yet provides no quantitative metrics, error bars, validation details, or description of the inversion method. This omission makes it impossible to evaluate whether the data support the feasibility claim, which is central to the paper.

    Authors: The abstract is intended as a high-level summary and therefore omits detailed metrics and methods descriptions, which are elaborated in the main text. To facilitate evaluation of the feasibility claim directly from the abstract, we will revise it to include key quantitative metrics on the BP estimation accuracy and a concise mention of the inversion approach. revision: yes

  2. Referee: [Methods and Results] With only 8 electrodes the EIT inverse problem is severely under-determined. The manuscript must detail (in the methods section) the regularization strategy, priors, or regularization parameters employed and demonstrate (in the results) via comparison to known anatomy or simultaneous reference measurements that the reconstructed images localize to arterial regions rather than reflecting smoothed bulk impedance, contact impedance, or motion artifacts.

    Authors: We agree with the assessment that the inverse problem is severely under-determined given only 8 electrodes. We will revise the Methods section to include a comprehensive description of the regularization strategy, the priors applied, and the specific regularization parameters used. In the Results section, we will add explicit demonstrations, including comparisons with known finger anatomy and analysis of the pulsatile characteristics, to show that the conductivity images correspond to arterial blood flow locations rather than smoothed bulk effects, contact impedance, or motion artifacts. revision: yes

Circularity Check

0 steps flagged

No circularity: empirical demonstration with no self-referential derivations

full rationale

The paper reports experimental measurements from 96 participants using an 8-electrode ring for 32-channel bioimpedance data, followed by conductivity image reconstruction and neural-network training for cuffless BP waveforms. No equations, first-principles derivations, or predictions are presented that reduce by construction to fitted inputs, self-citations, or ansatzes. The claims rest on direct participant data and standard reconstruction/training pipelines whose outputs are not forced to match the inputs by definition. This is the most common honest finding for feasibility studies without internal redefinitions.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claims rest on the domain assumption that multi-channel bioimpedance can be spatially resolved into conductivity maps that track blood volume changes, plus the assumption that these signals suffice for neural-network BP waveform prediction. No free parameters or new entities are introduced in the abstract.

axioms (1)
  • domain assumption Bioimpedance measurements can be inverted to produce conductivity images that reflect pulsatile blood flow in digital arteries
    Invoked when the paper states that conductivity images associated with pulsatile blood flow were resolved.

pith-pipeline@v0.9.0 · 5514 in / 1189 out tokens · 47142 ms · 2026-05-10T08:56:44.815197+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

269 extracted references · 2 canonical work pages

  1. [1]

    For Chronic Disease Prevention, N. C. & of Diabetes Translation, H. P . ( D. National Diabetes Statistics Report 2020: Estimates of Diabetes and Its Burden in the United States, 1–32 (2020)

    2020

  2. [2]

    Association, A. D. Economic Costs of Diabetes in the U.S. in 2017.Diabetes Care41,917–928 (Mar. 2018)

    2017

  3. [3]

    For Chronic Disease Prevention, N. C. & of Diabetes Translation, H. P . ( D. National diabetes fact sheet : national estimates and general information on diabetes and prediabetes in the United States, 2011, 1–12 (2020)

    2011

  4. [4]

    M.et al.Risk of Cause-Specific Death in Individuals With Diabetes: A Competing Risks Analysis.Diabetes Care39,1987–1995 (Aug

    Baena-Díez, J. M.et al.Risk of Cause-Specific Death in Individuals With Diabetes: A Competing Risks Analysis.Diabetes Care39,1987–1995 (Aug. 2016)

    1987

  5. [5]

    W.et al.Changes in Diabetes-Related Complications in the United States, 1990–2010.New England Journal of Medicine370,1514–1523 (Apr

    Gregg, E. W.et al.Changes in Diabetes-Related Complications in the United States, 1990–2010.New England Journal of Medicine370,1514–1523 (Apr. 2014)

    1990

  6. [6]

    Rawshani, A.et al.Mortality and Cardiovascular Disease in Type 1 and Type 2 Diabetes.New England Journal of Medicine376,1407–1418 (Apr. 2017)

    2017

  7. [7]

    Zinman, B.et al.Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes.New England Journal of Medicine373,2117–2128 (Nov. 2015)

    2015

  8. [8]

    P .et al.Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes.New England Journal of Medicine375,311–322 (July 2016)

    Marso, S. P .et al.Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes.New England Journal of Medicine375,311–322 (July 2016)

    2016

  9. [9]

    D.et al.Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes.New England Journal of Medicine380,347–357 (Jan

    Wiviott, S. D.et al.Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes.New England Journal of Medicine380,347–357 (Jan. 2019)

    2019

  10. [10]

    R.et al.Coronary Composition and Macrophage Infiltration in Atherectomy Specimens From Patients With Diabetes Mellitus.Circulation102,2180–2184 (Oct

    Moreno, P . R.et al.Coronary Composition and Macrophage Infiltration in Atherectomy Specimens From Patients With Diabetes Mellitus.Circulation102,2180–2184 (Oct. 2000)

    2000

  11. [11]

    Pajunen, P ., Taskinen, M.-R., Nieminen, M. S. & Syvänne, M. Angiographic severity and extent of coronary artery disease in patients with type 1 diabetes mellitus.The American Journal of Cardiology86,1080– 1085 (Nov. 2000)

    2000

  12. [12]

    Y .et al.Coronary atherosclerosis in diabetes mellitus.Journal of the American College of Cardiology40,946–953 (Sept

    Goraya, T. Y .et al.Coronary atherosclerosis in diabetes mellitus.Journal of the American College of Cardiology40,946–953 (Sept. 2002)

    2002

  13. [13]

    Virmani, R., Burke, A. P . & Kolodgie, F . Morphological characteristics of coronary atherosclerosis in dia- betes mellitus.Canadian Journal of Cardiology22,81B–84B (Feb. 2006)

    2006

  14. [14]

    & Davidge, S

    Chakrabarti, S. & Davidge, S. T. High glucose-induced oxidative stress alters estrogen effects on ERαand ERβin human endothelial cells: Reversal by AMPK activator.The Journal of Steroid Biochemistry and Molecular Biology117,99–106 (Nov. 2009)

    2009

  15. [15]

    W.et al.A Prospective Natural-History Study of Coronary Atherosclerosis.New England Journal of Medicine364,226–235 (Jan

    Stone, G. W.et al.A Prospective Natural-History Study of Coronary Atherosclerosis.New England Journal of Medicine364,226–235 (Jan. 2011)

    2011

  16. [16]

    P .et al.Plaque Composition and Clinical Outcomes in Acute Coronary Syndrome Patients With Metabolic Syndrome or Diabetes.JACC: Cardiovascular Imaging5,S42–S52 (Mar

    Marso, S. P .et al.Plaque Composition and Clinical Outcomes in Acute Coronary Syndrome Patients With Metabolic Syndrome or Diabetes.JACC: Cardiovascular Imaging5,S42–S52 (Mar. 2012)

    2012

  17. [17]

    Briko, A.et al.Method for Bioimpedance Assessment of Superficial Head Tissue Microcirculation.Sensors 25,7190 (Nov. 2025)

    2025

  18. [18]

    Marso, S. P . & McGuire, D. K. Coronary Revascularization Strategies in Patients With Diabetes and Mul- tivessel Coronary Artery Disease.Journal of the American College of Cardiology64,1198–1201 (Sept. 2014)

    2014

  19. [19]

    D., Penkala, S

    Shabani Varaki, E., Gargiulo, G. D., Penkala, S. & Breen, P . P . Peripheral vascular disease assessment in the lower limb: a review of current and emerging non-invasive diagnostic methods.BioMedical Engineering OnLine17(May 2018). Go to Contents | 237 of 248

    2018

  20. [20]

    Aday, A. W. & Matsushita, K. Epidemiology of Peripheral Artery Disease and Polyvascular Disease.Circu- lation Research128,1818–1832 (June 2021)

    2021

  21. [21]

    Collins, R.et al.Duplex ultrasonography, magnetic resonance angiography, and computed tomography an- giography for diagnosis and assessment of symptomatic, lower limb peripheral arterial disease: systematic review.BMJ334,1257 (June 2007)

    2007

  22. [22]

    Huthart, S.et al.Validation of a Standardised Duplex Ultrasound Classification System for the Reporting and Grading of Peripheral Arterial Disease.European Journal of Vascular and Endovascular Surgery64, 210–216 (Aug. 2022)

    2022

  23. [23]

    Gornik, H. L.et al.2024 ACC/AHA/AACVPR/APMA/ABC/ SCAI/SVM/SVN/SVS/SIR/VESS Guideline for the Management of Lower Extremity Peripheral Artery Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.Circulation149 (June 2024)

    2024

  24. [24]

    European Heart Journal45,3538–3700 (Aug

    Mazzolai, L.et al.2024 ESC Guidelines for the management of peripheral arterial and aortic diseases. European Heart Journal45,3538–3700 (Aug. 2024)

    2024

  25. [25]

    Nicolaides, A. N. Investigation of Chronic Venous Insufficiency: A Consensus Statement.Circulation102 (Nov. 2000)

    2000

  26. [26]

    Khilnani, N. M.et al.Multi-society Consensus Quality Improvement Guidelines for the Treatment of Lower- extremity Superficial Venous Insufficiency with Endovenous Thermal Ablation from the Society of Inter- ventional Radiology, Cardiovascular Interventional Radiological Society of Europe, American College of Phlebology, and Canadian Interventional Radiolo...

    2010

  27. [27]

    Influence of Arterial Diseae on the Systolic Blood Pressure Gradients of the Extremity.The American Journal of the Medical Sciences220,117–126 (Aug

    Winsor, T. Influence of Arterial Diseae on the Systolic Blood Pressure Gradients of the Extremity.The American Journal of the Medical Sciences220,117–126 (Aug. 1950)

    1950

  28. [28]

    E., Protogerou, A

    Safar, M. E., Protogerou, A. D. & Blacher, J. Statins, Central Blood Pressure, and Blood Pressure Amplifi- cation.Circulation119,9–12 (Jan. 2009)

    2009

  29. [29]

    Aboyans, V.et al.Measurement and Interpretation of the Ankle-Brachial Index: A Scientific Statement From the American Heart Association.Circulation126,2890–2909 (Dec. 2012)

    2012

  30. [30]

    T., Hobbs, J

    Y ao, S. T., Hobbs, J. T. & Irivne, W. T. Ankle systolic pressure measurements in arterial disease affecting the lower extremities.Journal of British Surgery56,676–679 (Sept. 1969)

    1969

  31. [31]

    Doppler Ankle Pressure: An Evaluation of Three Methods of Expression.Archives of Surgery 117,1297 (Oct

    Ouriel, K. Doppler Ankle Pressure: An Evaluation of Three Methods of Expression.Archives of Surgery 117,1297 (Oct. 1982)

    1982

  32. [32]

    Xu, D.et al.Sensitivity and specificity of the ankle—brachial index to diagnose peripheral artery disease: a structured review.Vascular Medicine15,361–369 (Oct. 2010)

    2010

  33. [33]

    & Chappell, F

    Crawford, F ., Welch, K., Andras, A. & Chappell, F . M. Ankle brachial index for the diagnosis of lower limb peripheral arterial disease.Cochrane Database of Systematic Reviews2016(Sept. 2016)

    2016

  34. [34]

    Strandness Jr, D. E. & Bell, J. W. Peripheral vascular disease: Diagnosis and objective evaluation using a mercury strain gauge. en.Ann. Surg.161,4–35 (Apr. 1965)

    1965

  35. [35]

    & Mukherjee, D

    Dhaliwal, G. & Mukherjee, D. Peripheral arterial disease: Epidemiology, natural history, diagnosis and treatment.International Journal of Angiology16,36–36 (June 2007)

    2007

  36. [36]

    Criqui, M. H. & Aboyans, V. Epidemiology of Peripheral Artery Disease.Circulation Research116,1509– 1526 (Apr. 2015)

    2015

  37. [37]

    & Jafari, R.Continuous Blood Pressure Monitoring using Wrist-worn Bio-impedance Sensors with Wet Electrodesin2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)(IEEE, Oct

    Ibrahim, B. & Jafari, R.Continuous Blood Pressure Monitoring using Wrist-worn Bio-impedance Sensors with Wet Electrodesin2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)(IEEE, Oct. 2018). Go to Contents | 238 of 248

    2018

  38. [38]

    Sel, K., Mohammadi, A., Pettigrew, R. I. & Jafari, R. Physics-informed neural networks for modeling physi- ological time series for cuffless blood pressure estimation.npj Digital Medicine6(June 2023)

    2023

  39. [39]

    Golden, J. C. & Miles, D. S. Assessment of Peripheral Hemodynamics Using Impedance Plethysmography. Physical Therapy66,1544–1547 (Oct. 1986)

    1986

  40. [40]

    Nyboer, J., Kreider, M. M. & Hannapel, L. Electrical Impedance Plethysmography: A Physical and Physio- logic Approach to Peripheral Vascular Study.Circulation2,811–821 (Dec. 1950)

    1950

  41. [41]

    Regional Pulse Volume and Perfusion Flow Measurement: Electrical Impedance Plethysmog- raphy.A.M.A

    Nyboer, J. Regional Pulse Volume and Perfusion Flow Measurement: Electrical Impedance Plethysmog- raphy.A.M.A. Archives of Internal Medicine105,264 (Feb. 1960)

    1960

  42. [42]

    Jaffrin, M. Y . & Vanhoutte, C. Quantitative interpretation of arterial impedance plethysmographic signals. Medical & Biological Engineering & Computing17,2–10 (Jan. 1979)

    1979

  43. [43]

    Anderson, F . A. Impedance plethysmography in the diagnosis of arterial and venous disease.Annals of Biomedical Engineering12,79–102 (Jan. 1984)

    1984

  44. [44]

    & Preisinger, E

    Quittan, M., Schuhfried, O., Kollmitzer, J. & Preisinger, E. [Value of impedance rheography as a screening method in comparison with Doppler index in peripheral arterial occlusive disease].VASA. Zeitschrift fur Gefasskrankheiten26,29–32 (1997)

    1997

  45. [45]

    & Quittan, M

    Schuhfried, O., Wiesinger, G., Kollmitzer, J., Mittermaier, C. & Quittan, M. Fourier analysis of impedance rheography for peripheral arterial occlusive disease.European Journal of Applied Physiology89,384–386 (May 2003)

    2003

  46. [46]

    Criqui, M. H.et al.Lower Extremity Peripheral Artery Disease: Contemporary Epidemiology, Management Gaps, and Future Directions: A Scientific Statement From the American Heart Association.Circulation144 (Aug. 2021)

    2021

  47. [47]

    Henderson, R. P . & Webster, J. G. An Impedance Camera for Spatially Specific Measurements of the Thorax.IEEE Transactions on Biomedical EngineeringBME-25,250–254 (May 1978)

    1978

  48. [48]

    Barber, D. C. & Brown, B. H. Applied potential tomography.Journal of Physics E: Scientific Instruments 17,723–733 (Sept. 1984)

    1984

  49. [49]

    & Gisser, D

    Cheng, K.-S., Isaacson, D., Newell, J. & Gisser, D. Electrode models for electric current computed tomog- raphy.IEEE Transactions on Biomedical Engineering36,918–924 (1989)

    1989

  50. [50]

    Sur les problèmes aux dérivées partielles et leur signification physique.Princeton University BulletinXIII,49–52 (Apr

    Hadamard, J. Sur les problèmes aux dérivées partielles et leur signification physique.Princeton University BulletinXIII,49–52 (Apr. 1902)

    1902

  51. [51]

    R.Computational Methods for Inverse Problems(Society for Industrial and Applied Mathematics, Jan

    Vogel, C. R.Computational Methods for Inverse Problems(Society for Industrial and Applied Mathematics, Jan. 2002)

    2002

  52. [52]

    & Pidcock, M

    Paulson, K., Breckon, W. & Pidcock, M. Electrode Modelling in Electrical Impedance Tomography.SIAM Journal on Applied Mathematics52,1012–1022 (Aug. 1992)

    1992

  53. [53]

    & Isaacson, D

    Somersalo, E., Cheney, M. & Isaacson, D. Existence and Uniqueness for Electrode Models for Electric Current Computed Tomography.SIAM Journal on Applied Mathematics52,1023–1040 (1992)

    1992

  54. [54]

    C.Numerical methods for the resolution of the forward and the inverse problems for Electrical Impedance TomographyPhD thesis (Université de PicardieJules Verne, 2022)

    Velasco, A. C.Numerical methods for the resolution of the forward and the inverse problems for Electrical Impedance TomographyPhD thesis (Université de PicardieJules Verne, 2022)

    2022

  55. [55]

    Calderón, A. P . On an inverse boundary value problem.Computational & Applied Mathematics25(2006)

    2006

  56. [56]

    D.Probing with Low Frequency Electric CurrentsPhD thesis (University of Canterbury, 1983)

    Seagar, A. D.Probing with Low Frequency Electric CurrentsPhD thesis (University of Canterbury, 1983)

    1983

  57. [57]

    Distinguishability of Conductivities by Electric Current Computed Tomography.IEEE Trans- actions on Medical Imaging5,91–95 (June 1986)

    Isaacson, D. Distinguishability of Conductivities by Electric Current Computed Tomography.IEEE Trans- actions on Medical Imaging5,91–95 (June 1986)

    1986

  58. [58]

    & Isaacson, D

    Cheney, M. & Isaacson, D. Distinguishability in impedance imaging.IEEE Transactions on Biomedical Engineering39,852–860 (1992)

    1992

  59. [59]

    & Meyer-Waarden, K

    Osypka, M., Gersing, E. & Meyer-Waarden, K. Komplexe elektrische Impedanztomografie im Frequenzbere- ich von 10 Hz bis 50 kHz.Zeitschrift für Medizinische Physik3,124–132 (1993). Go to Contents | 239 of 248

    1993

  60. [60]

    & Staboulis, S

    Dardé, J. & Staboulis, S. Electrode modelling: The effect of contact impedance.ESAIM: Mathematical Modelling and Numerical Analysis50,415–431 (Feb. 2016)

    2016

  61. [61]

    & Sanchez, B

    Luo, X., Wang, S. & Sanchez, B. A framework for modeling bioimpedance measurements of nonhomoge- neous tissues: a theoretical and simulation study.Physiological Measurement42,055007 (May 2021)

    2021

  62. [62]

    K., Kuzuoglu, M

    Pidcock, M. K., Kuzuoglu, M. & Leblebicioglu, K. Analytic and semi-analytic solutions in electrical imped- ance tomography. I. Two-dimensional problems.Physiological Measurement16,77–90 (May 1995)

    1995

  63. [63]

    K., Kuzuoglu, M

    Pidcock, M. K., Kuzuoglu, M. & Leblebicioglu, K. Analytic and semi-analytic solutions in electrical imped- ance tomography. II. Three-dimensional problems.Physiological Measurement16,91–110 (May 1995)

    1995

  64. [64]

    Demidenko, E. An analytic solution to the homogeneous EIT problem on the 2D disk and its application to estimation of electrode contact impedances.Physiological Measurement32,1453–1471 (July 2011)

    2011

  65. [65]

    R.Image Reconstruction in Electrical ImpedanceTomographyPhD thesis (Oxford Polytechnic, 1990)

    Breckon, W. R.Image Reconstruction in Electrical ImpedanceTomographyPhD thesis (Oxford Polytechnic, 1990)

    1990

  66. [66]

    Borsic, A.Regularisation Methods for Imaging from Electrical MeasurementsPhD thesis (Oxford Brookes University, 2002)

    2002

  67. [67]

    Polydorides, N.Image Reconstruction Algorithms for Soft-Field TomographyPhD thesis (University of Manchester Institute of Sciene and Technology (UMIST), 2002)

    2002

  68. [68]

    Molinari, M.High fidelity imaging in electrical impedance tomographyPhD thesis (University of Southamp- ton, 2003)

    2003

  69. [69]

    J.Image Reconstruction in Three-Dimensional Electrical Impedance TomographyPhD the- sis (University of Kuopio, 2004)

    Vauhkonen, P . J.Image Reconstruction in Three-Dimensional Electrical Impedance TomographyPhD the- sis (University of Kuopio, 2004)

    2004

  70. [70]

    & Kagawa, Y

    Murai, T. & Kagawa, Y . Electrical Impedance Computed Tomography Based on a Finite Element Model. IEEE Transactions on Biomedical EngineeringBME-32,177–184 (Mar. 1985)

    1985

  71. [71]

    J., Webster, J

    Y orkey, T. J., Webster, J. G. & Tompkins, W. J. Comparing Reconstruction Algorithms for Electrical Imped- ance Tomography.IEEE Transactions on Biomedical EngineeringBME-34,843–852 (Nov. 1987)

    1987

  72. [72]

    & Kaipio, J

    Vauhkonen, P ., Vauhkonen, M., Savolainen, T. & Kaipio, J. Three-dimensional electrical impedance tomog- raphy based on the complete electrode model.IEEE Transactions on Biomedical Engineering46,1150– 1160 (1999)

    1999

  73. [73]

    & Lionheart, W

    Borsic, A., Graham, B., Adler, A. & Lionheart, W. In Vivo Impedance Imaging With Total Variation Regular- ization.IEEE Transactions on Medical Imaging29,44–54 (Jan. 2010)

    2010

  74. [74]

    Lionheart, W. R. B. & Paridis, K. Finite elements and anisotropic EIT reconstruction.Journal of Physics: Conference Series224,012022 (Apr. 2010)

    2010

  75. [75]

    Lionheart, W. R. B. EIT reconstruction algorithms: pitfalls, challenges and recent developments.Physio- logical Measurement25,125–142 (Feb. 2004). 77.Electrical Impedance Tomography: Methods, History and Applications2nd ed. (eds Adler, A. & Holder, D.) (CRC Press, Nov. 2021)

    2004

  76. [76]

    & Bondeson, A.Computational Electromagnetics(Springer New Y ork, 2013)

    Rylander, T., Ingelström, P . & Bondeson, A.Computational Electromagnetics(Springer New Y ork, 2013)

    2013

  77. [77]

    Duraiswami, R., Chahine, G. L. & Sarkar, K. Boundary element techniques for efficient 2-D and 3-D elec- trical impedance tomography.Chemical Engineering Science52,2185–2196 (July 1997)

    1997

  78. [78]

    & Chahine, G

    Duraiswami, R., Sarkar, K. & Chahine, G. L. Efficient 2D and 3D electrical impedance tomography using dual reciprocity boundary element techniques.Engineering Analysis with Boundary Elements22,13–31 (July 1998)

    1998

  79. [79]

    & Heethaar, R

    De Munck, J., Faes, T. & Heethaar, R. The boundary element method in the forward and inverse problem of electrical impedance tomography.IEEE Transactions on Biomedical Engineering47,792–800 (June 2000)

    2000

  80. [80]

    & Papadopoulo, T

    Clerc, M., Badier, J.-M., Adde, G., Kybic, J. & Papadopoulo, T. Boundary Element formulation for Electrical Impedance Tomography.ESAIM: Proceedings14(eds Cancès, E. & Gerbeau, J.-F .) 63–71 (Sept. 2005). Go to Contents | 240 of 248

    2005

Showing first 80 references.