AIMC Topic: Electric Impedance

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Static Tactile Sensing for a Robotic Electronic Skin via an Electromechanical Impedance-Based Approach.

Sensors (Basel, Switzerland) May 16, 2020
Tactile sensing is paramount for robots operating in human-centered environments to help in understanding interaction with objects. To enable robots to have sophisticated tactile sensing capability, researchers have developed different kinds of elect...
Robotics Skin Electric Impedance Humans Wearable Electronic Devices Touch
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Lightweight Highly Tunable Jamming-Based Composites.

Soft robotics Apr 15, 2020
Tunable-impedance mechanisms can improve the adaptivity, robustness, and efficiency of a vast array of engineering systems and soft robots. In this study, we introduce a tunable-stiffness mechanism called a "sandwich jamming structure," which fuses t...
Equipment Design Electric Impedance Orthotic Devices Robotics
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A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry.

Analytical and bioanalytical chemistry Mar 18, 2020
Microfluidic applications such as active particle sorting or selective enrichment require particle classification techniques that are capable of working in real time. In this paper, we explore the use of neural networks for fast label-free particle c...
Neural Networks, Computer Flow Cytometry Humans Erythrocytes Electric Impedance Microfluidic Analytical Techniques
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Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system.

PloS one Jan 30, 2020
This paper proposes an approach to accurately estimate the impedance value of a high impedance fault (HIF) and the distance from its fault location for a distribution system. Based on the three-phase voltage and current waveforms which are monitored ...
Wavelet Analysis Electric Power Supplies Equipment Failure Electric Impedance Neural Networks, Computer
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Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning.

IEEE journal of biomedical and health informatics Jan 20, 2020
Sleep apnea is one of the most common sleep-related breathing disorders. It is diagnosed through an overnight sleep study in a specialized sleep clinic. This setup is expensive and the number of beds and staff are limited, leading to a long waiting t...
Polysomnography Humans Deep Learning Electric Impedance Respiratory Rate Sleep Apnea Syndromes
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An Optimal Electrical Impedance Tomography Drive Pattern for Human-Computer Interaction Applications.

IEEE transactions on biomedical circuits and systems Jan 20, 2020
In this article, we presented an optimal Electrical Impedance Tomography (EIT) drive pattern based on feature selection and model explanation, and proposed a portable EIT system for applications in human-computer interaction for gesture recognition a...
Machine Learning Algorithms Gestures Humans Wrist Electromyography Electrodes Image Processing, Computer-Assisted Signal Processing, Computer-Assisted Tomography Electric Impedance Pattern Recognition, Automated
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Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS).

The international journal of biostatistics Dec 5, 2019
We present new methods for cell line classification using multivariate time series bioimpedance data obtained from electric cell-substrate impedance sensing (ECIS) technology. The ECIS technology, which monitors the attachment and spreading of mammal...
Cytological Techniques Humans Supervised Machine Learning Biophysics Animals Electric Impedance Cell Line
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Early and Late Fusion Machine Learning on Multi-Frequency Electrical Impedance Data to Improve Radiofrequency Ablation Monitoring.

IEEE journal of biomedical and health informatics Nov 11, 2019
Radiofrequency ablation (RFA) is a popular modality for tumor treatment. However, inexpensive real-time monitoring of RFA within multiple tissue types is still an ongoing research topic. The objective of this study is to utilize multi-frequency elect...
Animals Neoplasms Breast Models, Biological Swine Machine Learning Algorithms Electric Impedance Radiofrequency Ablation
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Induced-Current Learning Method for Nonlinear Reconstructions in Electrical Impedance Tomography.

IEEE transactions on medical imaging Oct 22, 2019
Electrical impedance tomography (EIT) is an attractive technique that aims to reconstruct the unknown electrical property in a domain from the surface electrical measurements. In this work, the induced-current learning method (ICLM) is proposed to so...
Tomography Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Electric Impedance
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Development of a Wearable Electrical Impedance Tomographic Sensor for Gesture Recognition With Machine Learning.

IEEE journal of biomedical and health informatics Oct 4, 2019
A wearable electrical impedance tomographic (wEIT) sensor with 8 electrodes is developed to realize gesture recognition with machine learning algorithms. To optimize the wEIT sensor, gesture recognition rates are compared by using a series of electro...
Forearm Tomography Male Wearable Electronic Devices Wrist Young Adult Support Vector Machine Humans Algorithms Machine Learning Gestures Electric Impedance Adult Equipment Design Female Pattern Recognition, Automated
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