In electrical impedance tomography (EIT), it is difficult to obtain the intracranial due highly resistive skull enclosing brain. Therefore, a high-precision data acquisition system required for brain EIT. this paper, we used digital synthesis method and demodulation technique with high noise immunity eliminate random errors. Moreover, focused on two problems encountered during EIT acquisition: 1) shunt effect excitation current distributed capacitance between electrodes ground 2) common-mode...

We present a Python-based, open source Electrical Impedance Tomography (EIT) library called pyEIT. It is multiplatform software released under the Apache License v2.0. pyEIT has clean architecture and well documented. implements state-of-the-art EIT imaging algorithms also capable of simple 2D/3D meshing. written in Python. accelerates analysis offline data can be incorporated into clinical applications. In this paper, we focus on illustrating fundamental design principles by using some...

Objective Variations of conductive fluid content in brain tissue (e.g. cerebral edema) change impedance and can potentially be measured by Electrical Impedance Tomography (EIT), an emerging medical imaging technique. The objective this work is to establish the feasibility using EIT as tool for monitoring content. Design a prospective study. Setting In study was used, first time, monitor variations clinical model with patients undergoing dehydration treatment. system developed house its...

Cerebral edema after brain injury can lead to damage and death if diagnosis treatment are delayed. This study investigates the feasibility of employing electrical impedance tomography (EIT) as a non-invasive imaging tool for monitoring development cerebral edema, in which related water content is compared with intracranial pressure (ICP). We enrolled forty patients hemorrhage who underwent lateral external ventricular drain intraventricular ICP EIT 3 h initiation dehydration treatment. The...

Delayed detection of an internal hemorrhage may result in serious disabilities and possibly death for a patient. Currently, there are no portable medical imaging instruments that suitable long-term monitoring patients at risk hemorrhage. Electrical impedance tomography (EIT) has the potential to monitor continuously as novel functional image modality instantly detect occurrence However, low spatial resolution high sensitivity noise this technique have limited its application clinics. In...

Intracranial bleeding is one of the most severe medical emergencies in neurosurgery. Early detection or diagnosis would largely reduce rate disability and mortality, improve prognosis patients. Electrical Impedance Tomography (EIT) can non-invasively image internal resistivity distribution within a human body using ring external electrodes, thus promising technique to promptly detect occurrence intracranial bleedings because blood differs from other brain tissues resistivity. However, so far...

Stroke is a severe cerebrovascular disease and the second greatest cause of death worldwide. Because diagnostic tools (CT MRI) to detect acute stroke cannot be used until patient reaches hospital setting, portable tool urgently needed. biological tissues have different impedance spectra under normal physiological conditions pathological states, multi-frequency electrical tomography (MFEIT) can potentially stroke. Accurate brain tissue (gray white matter) lesions (ischemic hemorrhagic tissue)...

Cerebral edema contributes significantly to the morbidity and mortality associated with many common neurologic conditions. Clinically, a diagnostic tool that can be used monitor cerebral in real-time differentiate between different types of is urgently needed. Because there are differences electrical impedance normal cortical tissue tissue, tomography (EIT) potentially detect edema. Accurate recording properties at time points important when detecting EIT. In this study, rat model was...

Stretchable conductors with stable electrical conductivity under various deformations are essential for wearable electronics, soft robots, and biointegrated devices. However, brittle film-based on elastomeric substrates often suffer from unexpected disconnection due to the obvious mechanical incompatibility between stiff films substrates. We proposed a novel out-of-plane crack control strategy achieve strain-insensitive performance of thin-film-based conductors, featuring conductive...

Frequency-difference electrical impedance tomography (fdEIT) reconstructs frequency-dependent changes of a complex distribution. It has potential application in acute stroke detection because there are significant differences spectra between lesions and normal brain tissues. However, fdEIT suffers from the influences electrode-skin contact since varies greatly with frequency. When using to detect stroke, it is critical know degree measurement errors or image artifacts caused by impedance. To...

Dynamic brain electrical impedance tomography (EIT) is a promising technique for continuously monitoring the development of cerebral injury. While there are many reconstruction algorithms available EIT, still lack study to compare their performance in context dynamic monitoring.To address this problem, we develop framework evaluating different current with ability correctly identify small intracranial conductivity changes. Firstly, simulation 3D head phantom realistic layered structure and...

Electrical impedance tomography (EIT) is a bedside tool for lung ventilation and perfusion assessment. However, the ability long-term monitoring diminished due to interferences from clinical interventions motion artifacts. The purpose of this study investigate feasibility discrete wavelet transform (DWT) detect remove common types artifacts in thoracic EIT.Baseline drifting, step-like spike-like were simulated mimic three decomposition was employed characterize those different frequency...

Multi-frequency electrical impedance tomography (MFEIT) reconstructs the image of conductivity inside human body based on dependence tissue frequency. As there exist differences in over frequency between blood, ischemic cortical and normal tissue, MFEIT has potential application detection acute stroke. However, because distribution head is highly inhomogeneous conductivities stroke lesion both change with frequency, anomaly tissues are often mixed together reconstructed image, which makes it...

Objective: Magnetic induction tomography (MIT) is viewed as a promising method for brain imaging. Most MIT studies are based on time-difference imaging, which cannot be used detecting hemorrhagic stroke. However, many years, multifrequency (mfMIT) has been proposed the early detection of stroke, but focus primarily theoretical analysis and simulations. mfMIT not applied in clinical research owing to issues such inadequate imaging algorithms systems. Methods: A weighted frequency difference...

Brain electrical impedance tomography (EIT) is an emerging method for monitoring brain injuries. To effectively evaluate EIT systems and reconstruction algorithms, we have developed a novel head phantom that features realistic anatomy spatially varying skull resistivity. The was created with three layers, representing scalp, skull, tissues. fabrication process entailed 3-D printing of the anatomical geometry mold creation followed by casting to ensure high geometrical precision accuracy...

Electrical impedance tomography (EIT) is a noninvasive, radiation-free, and low-cost imaging modality for monitoring the conductivity distribution inside patient. Nowadays, time-difference EIT (tdEIT) used extensively as it has fast speed can reflect dynamic changes of diseases, which make attractive number medical applications. Moreover, modeling errors are compensated to some extent by subtraction voltage measurements collected before after change. However, tissue varies with frequency...

Electrical impedance tomography (EIT) is a noninvasive and radiation-free imaging method. As "soft-field" technique, in EIT, the target signal center of measured field frequently swamped by at edge, which restricts its further application. To alleviate this problem, study presents an enhanced encoder-decoder (EED) method with atrous spatial pyramid pooling (ASPP) module. The proposed enhances ability to detect central weak targets constructing ASPP module that integrates multiscale...

To investigate the application of recombinant human bone morphogenetic protein-2 (RhBMP-2) in Percutaneous Endoscopic Posterior Lumbar Interbody Fusion (PE-PLIF). The study randomly included 102 patients with lumbar spondylosis who underwent PE-PLIF at our hospital from April 2020 to August 2022. Following random number table method, these subjects were graded as a group 51 cases and control cases. pedicle screw fixation treatment RhBMP-2 or autologous was given respectively. surgical status...

Subarachnoid hemorrhage (SAH) is one of the most severe medical emergencies in neurosurgery. Early detection or diagnosis would significantly reduce rate disability and mortality, improve prognosis patients. Although present imaging techniques generally have high sensitivity to identify bleeding, use an additional, non-invasive technique capable continuously monitoring SAH required prevent contingent bleeding re-bleeding. In this study, electrical impedance tomography (EIT) was applied...

Abstract Objective : This study investigated the feasibility of electrical impedance tomography (EIT) for monitoring deterioration ischemic lesion after onset stroke. Approach Fifteen rats were randomly distributed into two groups: operated to establish a right middle cerebral artery occlusion (MCAO) ( n = 10), and sham-operated 5). Then, kept 2 h under anesthesia EIT monitoring. Subsequently, descriptive statistical analysis was performed on whole-brain resistivity changes,...