Results 11 to 20 of about 2,411,499 (365)

Three-dimensional electrical impedance tomography [PDF]

Nature, 1996
The electrical resistivity of mammalian tissues varies widely and is correlated with physiological function. Electrical impedance tomography (EIT) can be used to probe such variations in vivo, and offers a non-invasive means of imaging the internal conductivity distribution of the human body. But the computational complexity of EIT has severe practical
Metherall, P., Barber, D.C., Smallwood, R.H. [r.smallwood@shef.ac.uk], Brown, B.H.   +3 more
openaire   +5 more sources

Efficient Multitask Structure-Aware Sparse Bayesian Learning for Frequency-Difference Electrical Impedance Tomography

IEEE Transactions on Industrial Informatics, 2021
Frequency-difference electrical impedance tomography (fdEIT) was originally developed to mitigate the systematic artifacts induced by modeling errors when a baseline dataset is unavailable.
Shengheng Liu, Yongming Huang, Hancong Wu, Chao Tan, J. Jia   +4 more
semanticscholar   +1 more source

Determination of the Geometric Parameters of Electrode Systems for Electrical Impedance Myography: A Preliminary Study

Sensors, 2021
The electrical impedance myography method is widely used in solving bionic control problems and consists of assessing the change in the electrical impedance magnitude during muscle contraction in real time.
Andrey Briko, Vladislava Kapravchuk, Alexander Kobelev, Alexey Tikhomirov, Ahmad Hammoud, Mugeb Al-Harosh, Steffen Leonhardt, Chuong Ngo, Yury Gulyaev, Sergey Shchukin   +9 more
doaj   +1 more source

Preliminary study on parameterization of raw electrical bioimpedance data with 3 frequencies

Scientific Reports, 2022
This study tests the geometrical parameterization method for Electrical Bio-Impedance Spectroscopy (EBIS) readings previously proposed by one of the authors. This method uses the data of just three frequencies (therefore called 3P method).
C. A. González-Correa, S. A. Jaimes, J. I. Cárdenas-Jiménez   +2 more
doaj   +1 more source

Early detection of acute ischemic stroke using Contrast-enhanced electrical impedance tomography perfusion

NeuroImage: Clinical, 2023
A cerebral contrast-enhanced electrical impedance tomography perfusion method is developed for acute ischemic stroke during intravenous thrombolytic therapy.
Weirui Zhang, Yang Jiao, Tao Zhang, Xuechao Liu, Jianan Ye, Yuyan Zhang, Bin Yang, Meng Dai, Xuetao Shi, Feng Fu, Liang Wang, Canhua Xu   +11 more
doaj   +1 more source

The Research Progress of Electrical Impedance Tomography for Lung Monitoring

Frontiers in Bioengineering and Biotechnology, 2021
Medical imaging can intuitively show people the internal structure, morphological information, and organ functions of the organism, which is one of the most important inspection methods in clinical medical diagnosis.
Yan Shi, Zhiguo Yang, F. Xie, S. Ren, Shaofeng Xu   +4 more
semanticscholar   +1 more source

Noninvasive real-time monitoring of cellular spatiotemporal dynamics via machine learning-enhanced electrical impedance spectroscopy. [PDF]

Sci Adv
Carrasco Yagüe M, Zhang X, Volpatti M, Wei Y, Lebedev G, Gamby J, Barakat AI.   +6 more
europepmc   +2 more sources

Reflectance Confocal Microscopy and Electrical Impedance Spectroscopy in the Early Detection of Melanoma in Changing Lesions during Long-term Follow-up of Very High-risk Patients

Acta Dermato-Venereologica, 2022
Electrical impedance spectroscopy has clinical relevance in diagnosing malignancy in melanocytic lesions. Sixty-eight lesions with changes during digital follow-up of patients at very high risk of developing melanoma were prospectively included in this ...
Marion Chavez-Bourgeois, Simone Ribero, Alicia Barreiro, Natalia Espinoza, Cristina Carrera, Adriana Garcia, Llucia Alos, Susana Puig, Josep Malvehy   +8 more
doaj   +1 more source

HT-29 Colon Cancer Cell Electromanipulation and Assessment Based on Their Electrical Properties

Micromachines, 2022
This study proposes a feasible approach for the rapid, sensitive, and label-free identification of cancerous cells based on dielectrophoretic (DEP) manipulation and electrical characterization.
Marius Andrei Olariu, Catalin Tucureanu, Tudor Alexandru Filip, Iuliana Caras, Aurora Salageanu, Valentin Vasile, Marioara Avram, Bianca Tincu, Ina Turcan   +8 more
doaj   +1 more source

Tissue Recognition Based on Electrical Impedance Classified by Support Vector Machine in Spinal Operation Area

Orthopaedic Surgery, 2022
Objective One of the major difficulties in spinal surgery is the injury of important tissues caused by tissue misclassification, which is the source of surgical complications. Accurate recognization of the tissues is the key to increase safety and effect
Bingrong Chen, Yongwang Shi, Jiahao Li, Jiliang Zhai, Liang Liu, Wenyong Liu, Lei Hu, Yu Zhao   +7 more
doaj   +1 more source