AIMC Topic: Electric Impedance
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Electrochemical Impedance Spectroscopy-Based Sensing of Biofilms: A Comprehensive Review.
Biosensors
Jul 31, 2023
Biofilms are complex communities of microorganisms that can form on various surfaces, including medical devices, industrial equipment, and natural environments. The presence of biofilms can lead to a range of problems, including infections, reduced e...
Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning.
Sensors (Basel, Switzerland)
Jun 28, 2023
Individual cells have many unique properties that can be quantified to develop a holistic understanding of a population. This can include understanding population characteristics, identifying subpopulations, or elucidating outlier characteristics tha...
Collision avoidance analysis of human-robot physical interaction based on null-space impedance control of a dynamic reference arm plane.
Medical & biological engineering & computing
Jun 16, 2023
When the terminal upper limb rehabilitation robot is used for motion-assisted training, collisions between the manipulator links and the human upper limb may occur due to the null-space self-motion of the redundant manipulator. A null-space impedance...
A review on intelligent impedance cytometry systems: Development, applications and advances.
Analytica chimica acta
May 29, 2023
Impedance cytometry is a well-established technique for counting and analyzing single cells, with several advantages, such as convenience, high throughput, and no labeling required. A typical experiment consists of the following steps: single-cell me...
Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography.
Computer methods and programs in biomedicine
May 16, 2023
BACKGROUND: High-flow nasal cannula (HNFC) is able to provide ventilation support for patients with hypoxic respiratory failure. Early prediction of HFNC outcome is warranted, since failure of HFNC might delay intubation and increase mortality rate. ...
Body composition predicts hypertension using machine learning methods: a cohort study.
Scientific reports
Apr 27, 2023
We used machine learning methods to investigate if body composition indices predict hypertension. Data from a cohort study was used, and 4663 records were included (2156 were male, 1099 with hypertension, with the age range of 35-70 years old). Body ...
Stimulus classification with electrical potential and impedance of living plants: comparing discriminant analysis and deep-learning methods.
Bioinspiration & biomimetics
Mar 7, 2023
The physiology of living organisms, such as living plants, is complex and particularly difficult to understand on a macroscopic, organism-holistic level. Among the many options for studying plant physiology, electrical potential and tissue impedance ...
Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning.
Biosensors
Feb 24, 2023
Determining nucleic acid concentrations in a sample is an important step prior to proceeding with downstream analysis in molecular diagnostics. Given the need for testing DNA amounts and its purity in many samples, including in samples with very smal...
Machine learning assisted hepta band THz metamaterial absorber for biomedical applications.
Scientific reports
Jan 31, 2023
A hepta-band terahertz metamaterial absorber (MMA) with modified dual T-shaped resonators deposited on polyimide is presented for sensing applications. The proposed polarization sensitive MMA is ultra-thin (0.061 λ) and compact (0.21 λ) at its lowest...
Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks.
Sensors (Basel, Switzerland)
Jan 6, 2023
To improve the accuracy of shallow neural networks in processing complex signals and cable fault diagnosis, and to overcome the shortage of manual dependency and cable fault feature extraction, a deep learning method is introduced, and a time-frequen...
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