High stability voltage controlled current source for cervical cancer detection using electrical impedance spectroscopy

2016 ◽  
Vol 89 (3) ◽  
pp. 541-547 ◽  
Author(s):  
José Alejandro Amaya Palacio ◽  
Wilhelmus Adrianus Van Noije
Keyword(s):  
Cervical Cancer ◽  
Impedance Spectroscopy ◽  
Cancer Detection ◽  
High Stability ◽  
Electrical Impedance ◽  
Current Source ◽  
Electrical Impedance Spectroscopy

scholarly journals Cervical cancer prognosis and diagnosis using electrical impedance spectroscopy

2021 ◽  
Vol 12 (1) ◽  
pp. 153-162
Author(s):  
Ping Li ◽  
Peter E. Highfield ◽  
Zi-Qiang Lang ◽  
Darren Kell
Keyword(s):  
Cervical Cancer ◽  
Data Analysis ◽  
Impedance Spectroscopy ◽  
Cancer Diagnosis ◽  
Prognostic Value ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Physical Models ◽  
Tissue Structure ◽  
Classification Models

Abstract Electrical impedance spectroscopy (EIS) has been used as an adjunct to colposcopy for cervical cancer diagnosis for many years, Currently, the template match method is employed for EIS measurements analysis, where the measured EIS spectra are compared with the templates generated from three-dimensional finite element (FE) models of cancerous and non-cancerous cervical tissue, and the matches between the measured EIS spectra and the templates are then used to derive a score that indicates the association strength of the measured EIS to the High-Grade Cervical Intraepithelial Neoplasia (HG CIN). These FE models can be viewed as the computational versions of the associated physical tissue models. In this paper, the problem is revisited with an objective to develop a new method for EIS data analysis that might reveal the relationship between the change in the tissue structure due to disease and the change in the measured spectrum. This could provide us with important information to understand the histopathological mechanism that underpins the EIS-based HG CIN diagnostic decision making and the prognostic value of EIS for cervical cancer diagnosis. A further objective is to develop an alternative EIS data processing method for HG CIN detection that does not rely on physical models of tissues so as to facilitate extending the EIS technique to new medical diagnostic applications where the template spectra are not available. An EIS data-driven method was developed in this paper to achieve the above objectives, where the EIS data analysis for cervical cancer diagnosis and prognosis were formulated as the classification problems and a Cole model-based spectrum curve fitting approach was proposed to extract features from EIS readings for classification. Machine learning techniques were then used to build classification models with the selected features for cervical cancer diagnosis and evaluation of the prognostic value of the measured EIS. The interpretable classification models were developed with real EIS data sets, which enable us to associate the changes in the observed EIS and the risk of being HG CIN or developing HG CIN with the changes in tissue structure due to disease. The developed classification models were used for HG CIN detection and evaluation of the prognostic value of EIS and the results demonstrated the effectiveness of the developed method. The method developed is of long-term benefit for EIS–based cervical cancer diagnosis and, in conjunction with standard colposcopy, there is the potential for the developed method to provide a more effective and efficient patient management strategy for clinic practice.

Current Source Design for Electrical Bioimpedance Spectroscopy

2008 ◽  
pp. 359-367 ◽  
Author(s):  
Fernando Seoane ◽  
Ramón Bragos ◽  
Kaj Lindecrantz ◽  
Pere Riu
Keyword(s):  
Electrical Properties ◽  
Impedance Spectroscopy ◽  
Biological Tissue ◽  
Electrical Impedance ◽  
Current Source ◽  
Electrical Impedance Spectroscopy ◽  
Bioimpedance Spectroscopy ◽  
Electrical Bioimpedance ◽  
Electronic Instrumentation ◽  
Passive Electrical Properties

The passive electrical properties of biological tissue have been studied since the 1920s, and with time, the use of Electrical Bioimpedance (EBI) in medicine has successfully spread (Schwan, 1999). Since the electrical properties of tissue are frequency-dependent (Schwan, 1957), observations of the bioimpedance spectrum have created the discipline of Electrical Impedance Spectroscopy (EIS), a discipline that has experienced a development closely related to the progress of electronic instrumentation and the dissemination of EBI technology through medicine.

scholarly journals Cancer detection based on electrical impedance spectroscopy: A clinical study

2018 ◽  
Vol 9 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Sepideh Mohammadi Moqadam ◽  
Parvind Kaur Grewal ◽  
Zahra Haeri ◽  
Paris Ann Ingledew ◽  
Kirpal Kohli ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Cancer Detection ◽  
Electrical Impedance ◽  
Human Subjects ◽  
Electrical Impedance Spectroscopy ◽  
Supplementary Information ◽  
Measurement Technology ◽  
Cancerous Tissue ◽  
Analysis Technique ◽  
Cole Model

Abstract An electrical Impedance based tool is designed and developed to aid physicians performing clinical exams focusing on cancer detection. Current research envisions improvement in sensor-based measurement technology to differentiate malignant and benign lesions in human subjects. The tool differentiates malignant anomalies from nonmalignant anomalies using Electrical Impedance Spectroscopy (EIS). This method exploits cancerous tissue behavior by using EIS technique to aid early detection of cancerous tissue. The correlation between tissue electrical properties and tissue pathologies is identified by offering an analysis technique based on the Cole model. Additional classification and decision-making algorithm is further developed for cancer detection. This research suggests that the sensitivity of tumor detection will increase when supplementary information from EIS and built-in intelligence are provided to the physician.

Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects

2017 ◽  
Author(s):  
Ali Zarafshani ◽  
Thomas Bach ◽  
Chris Chatwin ◽  
Liangzhong Xiang ◽  
Bin Zheng
Keyword(s):  
Impedance Spectroscopy ◽  
Electrical Impedance ◽  
Current Source ◽  
Electrical Impedance Spectroscopy

A Rapid Approach to Measure Extracted Chlorophyll-a from Lettuce Leaves using Electrical Impedance Spectroscopy

2021 ◽  
Vol 232 (2) ◽  
Author(s):  
Rakibul Islam Chowdhury ◽  
Rinku Basak ◽  
Khan Arif Wahid ◽  
Katy Nugent ◽  
Helen Baulch
Keyword(s):  
Impedance Spectroscopy ◽  
Chlorophyll A ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy
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