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Electric Impedance

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Body composition predicts hypertension using machine learning methods: a cohort study.

Scientific reports
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 ...

A review on intelligent impedance cytometry systems: Development, applications and advances.

Analytica chimica acta
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
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. ...

Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning.

Sensors (Basel, Switzerland)
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
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...

Electrochemical Impedance Spectroscopy-Based Sensing of Biofilms: A Comprehensive Review.

Biosensors
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...

Soft robot-mediated autonomous adaptation to fibrotic capsule formation for improved drug delivery.

Science robotics
The foreign body response impedes the function and longevity of implantable drug delivery devices. As a dense fibrotic capsule forms, integration of the device with the host tissue becomes compromised, ultimately resulting in device seclusion and tre...

Combining electromyographic and electrical impedance data sets through machine learning: A study in D2-mdx and wild-type mice.

Muscle & nerve
INTRODUCTION/AIMS: Needle impedance-electromyography (iEMG) assesses the active and passive electrical properties of muscles concurrently by using a novel needle with six electrodes, two for EMG and four for electrical impedance myography (EIM). Here...

BECS-II: an updated bio-inspired electrocommunication system for small underwater robots.

Bioinspiration & biomimetics
Some weakly electric fish can use electric signals to interact and communicate with each other in dark and complex underwater environments where traditional underwater communication fails. In our previous work, we developed a bio-inspired electrocomm...

Repetitive Impedance Learning-Based Physically Human-Robot Interactive Control.

IEEE transactions on neural networks and learning systems
Model-based impedance learning control can provide variable impedance regulation for robots through online impedance learning without interaction force sensing. However, the existing related results only guarantee the closed-loop control systems to b...